Many software packages and libraries are available to the data analyst. R not only has the advantage that we can easily use its available packages, but it provides enough flexibility for the analyst who wants to get dirty with the data. It’s also widely used, and thus fairly portable: most analysts speak some level of R (or something that sounds and looks an awful lot like R).
In this notebook, you will find examples and tips that highlight R’s data manipulation features. It is not meant to be a complete introduction, or even a showcase of good programming practices.
swiss
Dataset, InsectSprays
DatasetWhile it is possible to write command line functions in R (we’ll have a few in subsequent modules), we will mostly use routines and functions which are available through various packages and libraries.
With an Internet connection, is is fairly straightforward to install and/or update R packages.
# see what packages are currently installed
installed.packages()
## Package
## abind "abind"
## ash "ash"
## askpass "askpass"
## assertthat "assertthat"
## backports "backports"
## base "base"
## base64enc "base64enc"
## BBmisc "BBmisc"
## BH "BH"
## bibtex "bibtex"
## BiocManager "BiocManager"
## BiocVersion "BiocVersion"
## bit "bit"
## bit64 "bit64"
## bitops "bitops"
## boot "boot"
## brew "brew"
## broom "broom"
## callr "callr"
## car "car"
## carData "carData"
## caret "caret"
## caTools "caTools"
## cellranger "cellranger"
## checkmate "checkmate"
## class "class"
## cli "cli"
## clipr "clipr"
## cluster "cluster"
## coda "coda"
## codetools "codetools"
## colorspace "colorspace"
## colourpicker "colourpicker"
## commonmark "commonmark"
## compiler "compiler"
## corrplot "corrplot"
## covr "covr"
## cowplot "cowplot"
## crayon "crayon"
## crosstalk "crosstalk"
## curl "curl"
## data.table "data.table"
## datasets "datasets"
## DBI "DBI"
## dbplyr "dbplyr"
## deldir "deldir"
## dendextend "dendextend"
## desc "desc"
## devtools "devtools"
## digest "digest"
## DMwR "DMwR"
## dplyr "dplyr"
## dslabs "dslabs"
## DT "DT"
## e1071 "e1071"
## ellipse "ellipse"
## ellipsis "ellipsis"
## evaluate "evaluate"
## extrafont "extrafont"
## extrafontdb "extrafontdb"
## factoextra "factoextra"
## FactoMineR "FactoMineR"
## fansi "fansi"
## farver "farver"
## fastmap "fastmap"
## flashClust "flashClust"
## forcats "forcats"
## foreach "foreach"
## forecast "forecast"
## foreign "foreign"
## fracdiff "fracdiff"
## fs "fs"
## gapminder "gapminder"
## gbm "gbm"
## gbRd "gbRd"
## gdata "gdata"
## generics "generics"
## geomnet "geomnet"
## geosphere "geosphere"
## GGally "GGally"
## ggalt "ggalt"
## gganimate "gganimate"
## ggcorrplot "ggcorrplot"
## ggdendro "ggdendro"
## ggExtra "ggExtra"
## ggfittext "ggfittext"
## ggfortify "ggfortify"
## ggnetwork "ggnetwork"
## ggplot2 "ggplot2"
## ggpubr "ggpubr"
## ggQC "ggQC"
## ggrepel "ggrepel"
## ggsci "ggsci"
## ggsignif "ggsignif"
## ggthemes "ggthemes"
## gh "gh"
## git2r "git2r"
## glmnet "glmnet"
## glue "glue"
## goftest "goftest"
## gower "gower"
## gplots "gplots"
## graphics "graphics"
## grDevices "grDevices"
## grid "grid"
## gridExtra "gridExtra"
## gtable "gtable"
## gtools "gtools"
## gutenbergr "gutenbergr"
## haven "haven"
## hexbin "hexbin"
## highr "highr"
## hms "hms"
## htm2txt "htm2txt"
## htmltools "htmltools"
## htmlwidgets "htmlwidgets"
## httpuv "httpuv"
## httr "httr"
## hunspell "hunspell"
## igraph "igraph"
## infotheo "infotheo"
## ini "ini"
## ipred "ipred"
## ISLR "ISLR"
## isoband "isoband"
## ISOcodes "ISOcodes"
## iterators "iterators"
## janeaustenr "janeaustenr"
## janitor "janitor"
## jsonlite "jsonlite"
## Kendall "Kendall"
## kernlab "kernlab"
## KernSmooth "KernSmooth"
## knitr "knitr"
## labeling "labeling"
## later "later"
## lattice "lattice"
## lava "lava"
## lawstat "lawstat"
## lazyeval "lazyeval"
## leaps "leaps"
## lemon "lemon"
## lifecycle "lifecycle"
## lle "lle"
## lme4 "lme4"
## lmtest "lmtest"
## lubridate "lubridate"
## magrittr "magrittr"
## mallet "mallet"
## maps "maps"
## maptools "maptools"
## markdown "markdown"
## MASS "MASS"
## Matrix "Matrix"
## MatrixModels "MatrixModels"
## memoise "memoise"
## methods "methods"
## mgcv "mgcv"
## mime "mime"
## minet "minet"
## miniUI "miniUI"
## minqa "minqa"
## mnormt "mnormt"
## ModelMetrics "ModelMetrics"
## modelr "modelr"
## modeltools "modeltools"
## mosaicData "mosaicData"
## mRMRe "mRMRe"
## munsell "munsell"
## mvtnorm "mvtnorm"
## network "network"
## ngram "ngram"
## nlme "nlme"
## NLP "NLP"
## nnet "nnet"
## numDeriv "numDeriv"
## openssl "openssl"
## openxlsx "openxlsx"
## packrat "packrat"
## parallel "parallel"
## parallelMap "parallelMap"
## pbkrtest "pbkrtest"
## pdftools "pdftools"
## performanceEstimation "performanceEstimation"
## pillar "pillar"
## pkgbuild "pkgbuild"
## pkgconfig "pkgconfig"
## pkgload "pkgload"
## PKI "PKI"
## plogr "plogr"
## plotly "plotly"
## plotrix "plotrix"
## pls "pls"
## plyr "plyr"
## polyclip "polyclip"
## polynom "polynom"
## praise "praise"
## prettyunits "prettyunits"
## processx "processx"
## prodlim "prodlim"
## progress "progress"
## proj4 "proj4"
## promises "promises"
## ps "ps"
## psych "psych"
## purrr "purrr"
## purrrlyr "purrrlyr"
## qcc "qcc"
## qpdf "qpdf"
## quadprog "quadprog"
## quantmod "quantmod"
## quantreg "quantreg"
## R6 "R6"
## randomForest "randomForest"
## RANN "RANN"
## rcmdcheck "rcmdcheck"
## RColorBrewer "RColorBrewer"
## Rcpp "Rcpp"
## RcppArmadillo "RcppArmadillo"
## RcppEigen "RcppEigen"
## RCurl "RCurl"
## Rdpack "Rdpack"
## readr "readr"
## readxl "readxl"
## recipes "recipes"
## rematch "rematch"
## rematch2 "rematch2"
## remotes "remotes"
## reprex "reprex"
## reshape "reshape"
## reshape2 "reshape2"
## rex "rex"
## rio "rio"
## rJava "rJava"
## RJSONIO "RJSONIO"
## rlang "rlang"
## rmarkdown "rmarkdown"
## ROCR "ROCR"
## roxygen2 "roxygen2"
## rpart "rpart"
## rpart.plot "rpart.plot"
## rprojroot "rprojroot"
## rsconnect "rsconnect"
## rstudioapi "rstudioapi"
## Rttf2pt1 "Rttf2pt1"
## rtweet "rtweet"
## rversions "rversions"
## rvest "rvest"
## scales "scales"
## scatterplot3d "scatterplot3d"
## selectr "selectr"
## sessioninfo "sessioninfo"
## shades "shades"
## shiny "shiny"
## shinyjs "shinyjs"
## slam "slam"
## sna "sna"
## snakecase "snakecase"
## snow "snow"
## SnowballC "SnowballC"
## snowfall "snowfall"
## sourcetools "sourcetools"
## sp "sp"
## SparseM "SparseM"
## spatial "spatial"
## spatstat "spatstat"
## spatstat.data "spatstat.data"
## spatstat.utils "spatstat.utils"
## splines "splines"
## SQUAREM "SQUAREM"
## StatMeasures "StatMeasures"
## statnet.common "statnet.common"
## stats "stats"
## stats4 "stats4"
## stopwords "stopwords"
## stringi "stringi"
## stringr "stringr"
## survival "survival"
## sys "sys"
## tcltk "tcltk"
## tensor "tensor"
## testthat "testthat"
## tibble "tibble"
## tidyr "tidyr"
## tidyselect "tidyselect"
## tidytext "tidytext"
## tidyverse "tidyverse"
## timeDate "timeDate"
## tinytex "tinytex"
## tm "tm"
## tokenizers "tokenizers"
## tools "tools"
## topicmodels "topicmodels"
## treemapify "treemapify"
## triangle "triangle"
## triebeard "triebeard"
## tseries "tseries"
## TTR "TTR"
## tweenr "tweenr"
## urca "urca"
## urltools "urltools"
## usethis "usethis"
## utf8 "utf8"
## utils "utils"
## vctrs "vctrs"
## viridis "viridis"
## viridisLite "viridisLite"
## whisker "whisker"
## withr "withr"
## wordcloud "wordcloud"
## xfun "xfun"
## XML "XML"
## xml2 "xml2"
## xopen "xopen"
## xtable "xtable"
## xts "xts"
## yaml "yaml"
## zeallot "zeallot"
## zip "zip"
## zoo "zoo"
## LibPath
## abind "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## ash "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## askpass "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## assertthat "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## backports "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## base "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## base64enc "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## BBmisc "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## BH "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## bibtex "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## BiocManager "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## BiocVersion "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## bit "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## bit64 "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## bitops "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## boot "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## brew "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## broom "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## callr "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## car "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## carData "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## caret "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## caTools "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## cellranger "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## checkmate "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## class "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## cli "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## clipr "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## cluster "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## coda "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## codetools "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## colorspace "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## colourpicker "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## commonmark "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## compiler "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## corrplot "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## covr "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## cowplot "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## crayon "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## crosstalk "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## curl "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## data.table "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## datasets "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## DBI "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## dbplyr "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## deldir "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## dendextend "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## desc "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## devtools "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## digest "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## DMwR "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## dplyr "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## dslabs "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## DT "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## e1071 "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## ellipse "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## ellipsis "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## evaluate "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## extrafont "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## extrafontdb "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## factoextra "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## FactoMineR "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## fansi "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## farver "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## fastmap "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## flashClust "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## forcats "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## foreach "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## forecast "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## foreign "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## fracdiff "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## fs "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## gapminder "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## gbm "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## gbRd "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## gdata "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## generics "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## geomnet "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## geosphere "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## GGally "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## ggalt "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## gganimate "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## ggcorrplot "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## ggdendro "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## ggExtra "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## ggfittext "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## ggfortify "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## ggnetwork "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## ggplot2 "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## ggpubr "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## ggQC "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## ggrepel "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## ggsci "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## ggsignif "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## ggthemes "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## gh "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## git2r "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## glmnet "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## glue "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## goftest "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## gower "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## gplots "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## graphics "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## grDevices "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## grid "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## gridExtra "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## gtable "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## gtools "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## gutenbergr "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## haven "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## hexbin "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## highr "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## hms "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## htm2txt "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## htmltools "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## htmlwidgets "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## httpuv "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## httr "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## hunspell "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## igraph "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## infotheo "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## ini "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## ipred "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## ISLR "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## isoband "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## ISOcodes "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## iterators "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## janeaustenr "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## janitor "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## jsonlite "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## Kendall "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## kernlab "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## KernSmooth "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## knitr "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## labeling "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## later "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## lattice "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## lava "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## lawstat "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## lazyeval "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## leaps "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## lemon "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## lifecycle "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## lle "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## lme4 "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## lmtest "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## lubridate "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## magrittr "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## mallet "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## maps "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## maptools "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## markdown "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## MASS "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## Matrix "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## MatrixModels "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## memoise "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## methods "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## mgcv "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## mime "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## minet "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## miniUI "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## minqa "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## mnormt "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## ModelMetrics "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## modelr "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## modeltools "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## mosaicData "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## mRMRe "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## munsell "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## mvtnorm "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## network "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## ngram "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## nlme "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## NLP "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## nnet "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## numDeriv "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## openssl "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## openxlsx "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## packrat "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## parallel "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## parallelMap "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## pbkrtest "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## pdftools "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## performanceEstimation "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## pillar "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## pkgbuild "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
## pkgconfig "/Library/Frameworks/R.framework/Versions/3.6/Resources/library"
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## glue "1.4.0" NA
## goftest "1.2-2" NA
## gower "0.2.1" NA
## gplots "3.0.3" NA
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## promises "1.1.0" NA
## ps "1.3.2" NA
## psych "1.8.12" NA
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## purrrlyr "0.0.5" NA
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## clipr NA
## cluster "R (>= 3.3.0)"
## coda "R (>= 2.14.0)"
## codetools "R (>= 2.1)"
## colorspace "R (>= 3.0.0), methods"
## colourpicker "R (>= 3.1.0)"
## commonmark NA
## compiler NA
## corrplot NA
## covr "R (>= 3.1.0), methods"
## cowplot "R (>= 3.5.0)"
## crayon NA
## crosstalk NA
## curl "R (>= 3.0.0)"
## data.table "R (>= 3.1.0)"
## datasets NA
## DBI "R (>= 3.0.0), methods"
## dbplyr "R (>= 3.1)"
## deldir "R (>= 0.99)"
## dendextend "R (>= 3.0.0)"
## desc "R (>= 3.1.0)"
## devtools "R (>= 3.0.2), usethis (>= 1.6.0)"
## digest "R (>= 3.1.0)"
## DMwR "R(>= 2.10), methods, graphics, lattice (>= 0.18-3), grid (>=\n2.10.1)"
## dplyr "R (>= 3.2.0)"
## dslabs "R (>= 3.1.2)"
## DT NA
## e1071 NA
## ellipse "R (>= 2.0.0),graphics,stats"
## ellipsis "R (>= 3.2)"
## evaluate "R (>= 3.0.2)"
## extrafont "R (>= 2.15)"
## extrafontdb "R (>= 2.14)"
## factoextra "R (>= 3.1.2), ggplot2 (>= 2.2.0)"
## FactoMineR "R (>= 3.5.0)"
## fansi "R (>= 3.1.0)"
## farver NA
## fastmap NA
## flashClust "R (>= 2.3.0)"
## forcats "R (>= 3.1)"
## foreach "R (>= 2.5.0)"
## forecast "R (>= 3.0.2),"
## foreign "R (>= 3.0.0)"
## fracdiff NA
## fs "R (>= 3.1)"
## gapminder "R (>= 3.1.0)"
## gbm "R (>= 2.9.0)"
## gbRd "tools"
## gdata "R (>= 2.3.0)"
## generics "R (>= 3.1)"
## geomnet "R (>= 3.5), ggplot2 (>= 3.0.0)"
## geosphere "R (>= 3.0.0)"
## GGally "R (>= 3.1), ggplot2 (> 2.2.0)"
## ggalt "R (>= 3.2.0), ggplot2 (>= 2.2.1)"
## gganimate "ggplot2 (>= 3.0.0)"
## ggcorrplot "ggplot2"
## ggdendro NA
## ggExtra "R (>= 3.1.0)"
## ggfittext "R (>= 3.2.3)"
## ggfortify "methods, ggplot2 (>= 2.0.0)"
## ggnetwork "R (>= 3.5), ggplot2 (>= 2.0.0)"
## ggplot2 "R (>= 3.2)"
## ggpubr "R (>= 3.1.0), ggplot2, magrittr"
## ggQC "R (>= 2.10)"
## ggrepel "R (>= 3.0.0), ggplot2 (>= 2.2.0)"
## ggsci "R (>= 3.0.2)"
## ggsignif NA
## ggthemes "R (>= 3.3.0)"
## gh NA
## git2r "R (>= 3.1)"
## glmnet "Matrix (>= 1.0-6), utils, foreach"
## glue "R (>= 3.1)"
## goftest "R (>= 3.3)"
## gower NA
## gplots "R (>= 3.0)"
## graphics NA
## grDevices NA
## grid NA
## gridExtra NA
## gtable "R (>= 3.0)"
## gtools "methods, stats, utils"
## gutenbergr "R (>= 2.10)"
## haven "R (>= 3.2)"
## hexbin "R (>= 2.0.1), methods"
## highr "R (>= 3.2.3)"
## hms NA
## htm2txt "R (>= 3.0.0)"
## htmltools "R (>= 2.14.1)"
## htmlwidgets NA
## httpuv "R (>= 2.15.1)"
## httr "R (>= 3.2)"
## hunspell "R (>= 3.0.2)"
## igraph "methods"
## infotheo NA
## ini NA
## ipred "R (>= 2.10)"
## ISLR "R (>= 2.10)"
## isoband NA
## ISOcodes "R (>= 2.10.0)"
## iterators "R (>= 2.5.0), utils"
## janeaustenr "R (>= 3.1.2)"
## janitor "R (>= 3.1.2)"
## jsonlite "methods"
## Kendall "R (>= 2.1.0)"
## kernlab "R (>= 2.10)"
## KernSmooth "R (>= 2.5.0), stats"
## knitr "R (>= 3.2.3)"
## labeling NA
## later NA
## lattice "R (>= 3.0.0)"
## lava "R (>= 3.0)"
## lawstat "R (>= 2.6.0)"
## lazyeval "R (>= 3.1.0)"
## leaps ""
## lemon "R (>= 3.1.0)"
## lifecycle "R (>= 3.2)"
## lle "scatterplot3d, MASS, snowfall"
## lme4 "R (>= 3.2.0), Matrix (>= 1.2-1), methods, stats"
## lmtest "R (>= 3.0.0), stats, zoo"
## lubridate "methods, R (>= 3.0.0)"
## magrittr NA
## mallet "rJava"
## maps "R (>= 3.0.0)"
## maptools "R (>= 2.10), sp (>= 1.0-11)"
## markdown "R (>= 2.11.1)"
## MASS "R (>= 3.1.0), grDevices, graphics, stats, utils"
## Matrix "R (>= 3.2.0)"
## MatrixModels "R (>= 3.0.1)"
## memoise NA
## methods NA
## mgcv "R (>= 2.14.0), nlme (>= 3.1-64)"
## mime NA
## minet NA
## miniUI NA
## minqa NA
## mnormt "R (>= 2.2.0)"
## ModelMetrics "R (>= 3.2.2)"
## modelr "R (>= 3.2)"
## modeltools "stats, stats4"
## mosaicData "R (>= 3.0.0)"
## mRMRe "R (>= 2.10), survival, igraph, methods"
## munsell NA
## mvtnorm "R(>= 3.5.0)"
## network "R (>= 2.10), utils"
## ngram "R (>= 3.0.0)"
## nlme "R (>= 3.4.0)"
## NLP "R (>= 3.2.0)"
## nnet "R (>= 2.14.0), stats, utils"
## numDeriv "R (>= 2.11.1)"
## openssl NA
## openxlsx "R (>= 3.3.0)"
## packrat "R (>= 3.0.0)"
## parallel NA
## parallelMap "R (>= 3.0.0)"
## pbkrtest "R (>= 3.6.0), lme4 (>= 1.1.10)"
## pdftools NA
## performanceEstimation "R(>= 3.0), methods"
## pillar NA
## pkgbuild "R (>= 3.1)"
## pkgconfig NA
## pkgload NA
## PKI "R (>= 2.9.0), base64enc"
## plogr NA
## plotly "R (>= 3.2.0), ggplot2 (>= 3.0.0)"
## plotrix "R (>= 3.5.0)"
## pls "R (>= 2.10)"
## plyr "R (>= 3.1.0)"
## polyclip "R (>= 3.0.0)"
## polynom NA
## praise NA
## prettyunits NA
## processx NA
## prodlim "R (>= 2.9.0)"
## progress NA
## proj4 "R (>= 2.0.0)"
## promises NA
## ps "R (>= 3.1)"
## psych "R (>= 2.10)"
## purrr "R (>= 3.2)"
## purrrlyr NA
## qcc "R (>= 3.0)"
## qpdf NA
## quadprog "R (>= 3.1.0)"
## quantmod "R (>= 3.2.0), xts(>= 0.9-0), zoo, TTR(>= 0.2), methods"
## quantreg "R (>= 2.6), stats, SparseM"
## R6 "R (>= 3.0)"
## randomForest "R (>= 3.2.2), stats"
## RANN NA
## rcmdcheck NA
## RColorBrewer "R (>= 2.0.0)"
## Rcpp "R (>= 3.0.0)"
## RcppArmadillo "R (>= 3.3.0)"
## RcppEigen "R (>= 2.15.1)"
## RCurl "R (>= 3.0.0), methods, bitops"
## Rdpack "R (>= 2.15.0), methods"
## readr "R (>= 3.1)"
## readxl NA
## recipes "R (>= 3.1), dplyr"
## rematch NA
## rematch2 NA
## remotes "R (>= 3.0.0)"
## reprex "R (>= 3.1)"
## reshape "R (>= 2.6.1)"
## reshape2 "R (>= 3.1)"
## rex NA
## rio "R (>= 2.15.0)"
## rJava "R (>= 2.5.0), methods"
## RJSONIO NA
## rlang "R (>= 3.2.0)"
## rmarkdown "R (>= 3.0)"
## ROCR "gplots, methods"
## roxygen2 "R (>= 3.2)"
## rpart "R (>= 2.15.0), graphics, stats, grDevices"
## rpart.plot "R (>= 3.4.0), rpart (>= 4.1-10)"
## rprojroot "R (>= 3.0.0)"
## rsconnect "R (>= 3.0.0)"
## rstudioapi NA
## Rttf2pt1 "R (>= 2.15)"
## rtweet "R (>= 3.1.0)"
## rversions NA
## rvest "R (>= 3.2), xml2"
## scales "R (>= 3.2)"
## scatterplot3d "R (>= 2.7.0)"
## selectr "R (>= 3.0)"
## sessioninfo NA
## shades NA
## shiny "R (>= 3.0.2), methods"
## shinyjs "R (>= 3.1.0)"
## slam "R (>= 3.4.0)"
## sna "R (>= 2.0.0), utils, statnet.common, network"
## snakecase "R (>= 3.2)"
## snow "R (>= 2.13.1), utils"
## SnowballC NA
## snowfall "R (>= 2.10), snow"
## sourcetools "R (>= 3.0.2)"
## sp "R (>= 3.0.0), methods"
## SparseM "R (>= 2.15), methods"
## spatial "R (>= 3.0.0), graphics, stats, utils"
## spatstat "R (>= 3.3.0), spatstat.data (>= 1.4-0), stats, graphics,\ngrDevices, utils, methods, nlme, rpart"
## spatstat.data "R (>= 3.3.0)"
## spatstat.utils "R (>= 3.3.0), stats, graphics, grDevices, utils, methods"
## splines NA
## SQUAREM "R (>= 3.0)"
## StatMeasures "R (>= 3.1.3)"
## statnet.common "R (>= 3.5)"
## stats NA
## stats4 NA
## stopwords "R (>= 2.10)"
## stringi "R (>= 2.14)"
## stringr "R (>= 3.1)"
## survival "R (>= 2.13.0)"
## sys NA
## tcltk NA
## tensor NA
## testthat "R (>= 3.1)"
## tibble "R (>= 3.1.0)"
## tidyr "R (>= 3.1)"
## tidyselect "R (>= 3.2)"
## tidytext "R (>= 2.10)"
## tidyverse NA
## timeDate "R (>= 2.15.1), graphics, utils, stats, methods"
## tinytex NA
## tm "R (>= 3.2.0), NLP (>= 0.2-0)"
## tokenizers "R (>= 3.1.3)"
## tools NA
## topicmodels "R (>= 2.15.0)"
## treemapify "R (>= 3.1)"
## triangle "R (>= 2.14.1)"
## triebeard NA
## tseries "R (>= 2.10.0)"
## TTR NA
## tweenr "R (>= 3.2.0)"
## urca "R (>= 2.0.0), methods"
## urltools "R (>= 2.10)"
## usethis "R (>= 3.2)"
## utf8 "R (>= 2.10)"
## utils NA
## vctrs "R (>= 3.2)"
## viridis "R (>= 2.10), viridisLite (>= 0.3.0)"
## viridisLite "R (>= 2.10)"
## whisker NA
## withr "R (>= 3.2.0)"
## wordcloud "methods, RColorBrewer"
## xfun NA
## XML "R (>= 2.13.0), methods, utils"
## xml2 "R (>= 3.1.0)"
## xopen "R (>= 3.1)"
## xtable "R (>= 2.10.0)"
## xts "zoo (>= 1.7-12)"
## yaml NA
## zeallot NA
## zip NA
## zoo "R (>= 3.1.0), stats"
## Imports
## abind "methods, utils"
## ash NA
## askpass "sys (>= 2.1)"
## assertthat "tools"
## backports "utils"
## base NA
## base64enc NA
## BBmisc "utils, methods, stats, checkmate (>= 1.8.0)"
## BH NA
## bibtex "stringr, utils"
## BiocManager "utils"
## BiocVersion NA
## bit NA
## bit64 NA
## bitops NA
## boot NA
## brew NA
## broom "backports, dplyr, generics (>= 0.0.2), methods, nlme, purrr,\nreshape2, stringr, tibble, tidyr"
## callr "processx (>= 3.4.0), R6, utils"
## car "abind, MASS, mgcv, nnet, pbkrtest (>= 0.4-4), quantreg,\ngrDevices, utils, stats, graphics, maptools, rio, lme4, nlme"
## carData NA
## caret "foreach, methods, plyr, ModelMetrics (>= 1.1.0), nlme,\nreshape2, stats, stats4, utils, grDevices, recipes (>= 0.1.4),\nwithr (>= 2.0.0)"
## caTools "bitops"
## cellranger "rematch, tibble"
## checkmate "backports (>= 1.1.0), utils"
## class "MASS"
## cli "assertthat, crayon (>= 1.3.4), glue, methods, utils, fansi"
## clipr "utils"
## cluster "graphics, grDevices, stats, utils"
## coda "lattice"
## codetools NA
## colorspace "graphics, grDevices, stats"
## colourpicker "ggplot2, htmltools, htmlwidgets (>= 0.7), jsonlite, miniUI (>=\n0.1.1), shiny (>= 0.11.1), shinyjs, utils"
## commonmark NA
## compiler NA
## corrplot NA
## covr "digest, stats, utils, jsonlite, rex, httr, crayon, withr (>=\n1.0.2), yaml"
## cowplot "ggplot2 (> 2.2.1), grid, gtable, grDevices, methods, rlang,\nscales, utils"
## crayon "grDevices, methods, utils"
## crosstalk "htmltools (>= 0.3.6), jsonlite, lazyeval, R6"
## curl NA
## data.table "methods"
## datasets NA
## DBI NA
## dbplyr "assertthat (>= 0.2.0), DBI (>= 1.0.0), dplyr (>= 0.8.0), glue\n(>= 1.2.0), methods, purrr (>= 0.2.5), R6 (>= 2.2.2), rlang (>=\n0.2.0), tibble (>= 1.4.2), tidyselect (>= 0.2.4), utils"
## deldir "graphics, grDevices"
## dendextend "utils, stats, datasets, magrittr (>= 1.0.1), ggplot2, viridis"
## desc "assertthat, utils, R6, crayon, rprojroot"
## devtools "callr (>= 3.4.3), cli (>= 2.0.2), covr (>= 3.5.0), crayon (>=\n1.3.4), desc (>= 1.2.0), digest (>= 0.6.25), DT (>= 0.13),\nellipsis (>= 0.3.0), glue (>= 1.4.0), git2r (>= 0.26.1), httr\n(>= 1.4.1), jsonlite (>= 1.6.1), memoise (>= 1.1.0), pkgbuild\n(>= 1.0.6), pkgload (>= 1.0.2), rcmdcheck (>= 1.3.3), remotes\n(>= 2.1.1), rlang (>= 0.4.5), roxygen2 (>= 7.1.0), rstudioapi\n(>= 0.11), rversions (>= 2.0.1), sessioninfo (>= 1.1.1), stats,\ntestthat (>= 2.3.2), tools, utils, withr (>= 2.1.2)"
## digest "utils"
## DMwR "xts (>= 0.6-7), quantmod (>= 0.3-8), zoo (>= 1.6-4), abind (>=\n1.1-0), rpart (>= 3.1-46), class (>= 7.3-1), ROCR (>= 1.0)"
## dplyr "ellipsis, assertthat (>= 0.2.0), glue (>= 1.3.0), magrittr (>=\n1.5), methods, pkgconfig, R6, Rcpp (>= 1.0.1), rlang (>=\n0.4.0), tibble (>= 2.0.0), tidyselect (>= 0.2.5), utils"
## dslabs "ggplot2"
## DT "htmltools (>= 0.3.6), htmlwidgets (>= 1.3), jsonlite (>=\n0.9.16), magrittr, crosstalk, promises"
## e1071 "graphics, grDevices, class, stats, methods, utils"
## ellipse NA
## ellipsis "rlang (>= 0.3.0)"
## evaluate "methods"
## extrafont "extrafontdb, grDevices, utils, Rttf2pt1"
## extrafontdb NA
## factoextra "abind, cluster, dendextend, FactoMineR, ggpubr(>= 0.1.5),\ngrid, stats, reshape2, ggrepel, tidyr"
## FactoMineR "car,cluster,ellipse,flashClust,graphics,grDevices,lattice,leaps,MASS,scatterplot3d,stats,utils,ggplot2,ggrepel"
## fansi NA
## farver NA
## fastmap NA
## flashClust NA
## forcats "ellipsis, magrittr, rlang, tibble"
## foreach "codetools, utils, iterators"
## forecast "colorspace, fracdiff, ggplot2 (>= 2.2.1), graphics, lmtest,\nmagrittr, nnet, parallel, Rcpp (>= 0.11.0), stats, timeDate,\ntseries, urca, zoo"
## foreign "methods, utils, stats"
## fracdiff "stats"
## fs "methods, Rcpp"
## gapminder "tibble"
## gbm "gridExtra, lattice, parallel, survival"
## gbRd NA
## gdata "gtools, stats, methods, utils"
## generics "methods"
## geomnet "sna, network, dplyr, tidyr, readr, plotly"
## geosphere "sp"
## GGally "grDevices, grid, gtable (>= 0.2.0), plyr (>= 1.8.3), progress,\nRColorBrewer, reshape (>= 0.8.5), utils, rlang"
## ggalt "utils, graphics, grDevices, dplyr, RColorBrewer, KernSmooth,\nproj4, scales, grid, gtable, ash, maps, MASS, extrafont,\ntibble, plotly (>= 3.4.1)"
## gganimate "stringi, tweenr (>= 1.0.1), grid, rlang, glue, progress, plyr,\nscales, grDevices, utils"
## ggcorrplot "reshape2, stats"
## ggdendro "MASS, ggplot2(>= 0.9.2)"
## ggExtra "colourpicker (>= 1.0), ggplot2 (>= 2.2.0), grDevices, grid (>=\n3.1.3), gtable (>= 0.2.0), miniUI (>= 0.1.1), scales (>=\n0.2.0), shiny (>= 0.13.0), shinyjs (>= 0.5.2), utils, R6"
## ggfittext "grid (>= 3.1), stringi (>= 1.1.2), ggplot2 (>= 2.2.1), shades\n(>= 1.3.1)"
## ggfortify "dplyr (>= 0.3), tidyr, gridExtra, grid, scales, stringr,\ntibble"
## ggnetwork "ggrepel (>= 0.5), network, igraph, sna, utils"
## ggplot2 "digest, glue, grDevices, grid, gtable (>= 0.1.1), isoband,\nMASS, mgcv, rlang (>= 0.3.0), scales (>= 0.5.0), stats, tibble,\nwithr (>= 2.0.0)"
## ggpubr "ggrepel, grid, ggsci, stats, utils, tidyr, purrr, dplyr (>=\n0.7.1), cowplot, ggsignif, scales, gridExtra, glue, polynom,\nrlang"
## ggQC "ggplot2, stats, dplyr, tidyr"
## ggrepel "grid, Rcpp, scales (>= 0.3.0)"
## ggsci "grDevices, scales, ggplot2 (>= 2.0.0)"
## ggsignif "ggplot2 (>= 2.0.0)"
## ggthemes "ggplot2 (>= 3.0.0), graphics, grid, methods, purrr, scales,\nstringr, tibble"
## gh "cli, ini, jsonlite, httr (>= 1.2)"
## git2r "graphics, utils"
## glmnet "methods"
## glue "methods"
## goftest "stats"
## gower NA
## gplots "gtools, gdata, stats, caTools, KernSmooth"
## graphics "grDevices"
## grDevices NA
## grid "grDevices, utils"
## gridExtra "gtable, grid, grDevices, graphics, utils"
## gtable "grid"
## gtools NA
## gutenbergr "dplyr, readr, purrr, urltools, stringr, lazyeval"
## haven "forcats (>= 0.2.0), hms, Rcpp (>= 0.11.4), readr (>= 0.1.0),\ntibble"
## hexbin "lattice, grid, graphics, grDevices, stats, utils"
## highr NA
## hms "methods, pkgconfig, rlang, vctrs (>= 0.2.1)"
## htm2txt NA
## htmltools "utils, digest, Rcpp, rlang"
## htmlwidgets "grDevices, htmltools (>= 0.3), jsonlite (>= 0.9.16), yaml"
## httpuv "Rcpp (>= 0.11.0), utils, R6, promises, later (>= 0.8.0)"
## httr "curl (>= 3.0.0), jsonlite, mime, openssl (>= 0.8), R6"
## hunspell "Rcpp, digest"
## igraph "graphics, grDevices, magrittr, Matrix, pkgconfig (>= 2.0.0),\nstats, utils"
## infotheo NA
## ini NA
## ipred "rpart (>= 3.1-8), MASS, survival, nnet, class, prodlim"
## ISLR NA
## isoband "Rcpp, grid, utils"
## ISOcodes NA
## iterators NA
## janeaustenr NA
## janitor "dplyr (>= 0.7.0), tidyr (>= 0.7.0), snakecase (>= 0.9.2),\nmagrittr, purrr, rlang"
## jsonlite NA
## Kendall "boot"
## kernlab "methods, stats, grDevices, graphics"
## KernSmooth NA
## knitr "evaluate (>= 0.10), highr, markdown, stringr (>= 0.6), yaml\n(>= 2.1.19), methods, xfun, tools"
## labeling NA
## later "Rcpp (>= 0.12.9), rlang"
## lattice "grid, grDevices, graphics, stats, utils"
## lava "grDevices, graphics, methods, numDeriv, stats, survival,\nSQUAREM, utils"
## lawstat "Kendall, mvtnorm, Rdpack"
## lazyeval NA
## leaps NA
## lemon "ggplot2 (>= 2.2.0), plyr, grid, gridExtra, gtable, knitr (>=\n1.12), lattice, scales"
## lifecycle "glue, rlang (>= 0.4.0)"
## lle NA
## lme4 "graphics, grid, splines, utils, parallel, MASS, lattice, boot,\nnlme (>= 3.1-123), minqa (>= 1.1.15), nloptr (>= 1.0.4)"
## lmtest "graphics"
## lubridate "stringr, Rcpp (>= 0.12.13),"
## magrittr NA
## mallet NA
## maps "graphics, utils"
## maptools "foreign (>= 0.8), methods, grid, lattice, stats, utils,\ngrDevices"
## markdown "utils, xfun, mime (>= 0.3)"
## MASS "methods"
## Matrix "methods, graphics, grid, stats, utils, lattice"
## MatrixModels "stats, methods, Matrix (>= 1.1-5)"
## memoise "digest (>= 0.6.3)"
## methods "utils, stats"
## mgcv "methods, stats, graphics, Matrix, splines, utils"
## mime "tools"
## minet "infotheo"
## miniUI "shiny (>= 0.13), htmltools (>= 0.3), utils"
## minqa "Rcpp (>= 0.9.10)"
## mnormt NA
## ModelMetrics "Rcpp, data.table"
## modelr "broom, dplyr, magrittr, purrr (>= 0.2.2), rlang (>= 0.2.0),\ntibble, tidyr (>= 0.8.0)"
## modeltools "methods"
## mosaicData NA
## mRMRe NA
## munsell "colorspace, methods"
## mvtnorm "stats, methods"
## network "tibble, magrittr"
## ngram "methods"
## nlme "graphics, stats, utils, lattice"
## NLP "utils"
## nnet NA
## numDeriv NA
## openssl "askpass"
## openxlsx "grDevices, methods, Rcpp, stats, utils, zip, stringi"
## packrat "tools, utils"
## parallel "tools, compiler"
## parallelMap "BBmisc (>= 1.8), checkmate (>= 1.8.0), parallel, stats, utils"
## pbkrtest "Matrix (>= 1.2.3), parallel, magrittr, MASS, methods"
## pdftools "Rcpp (>= 0.12.12), qpdf"
## performanceEstimation "ggplot2 (>= 0.9.3), parallelMap (>= 1.3), parallel, tidyr (>=\n0.4.1), dplyr (>= 0.4.3)"
## pillar "cli, crayon (>= 1.3.4), fansi, rlang (>= 0.3.0), utf8 (>=\n1.1.0), vctrs (>= 0.2.0)"
## pkgbuild "callr (>= 3.2.0), cli, crayon, desc, prettyunits, R6,\nrprojroot, withr (>= 2.1.2)"
## pkgconfig "utils"
## pkgload "desc, methods, pkgbuild, rlang, rprojroot, rstudioapi, utils,\nwithr"
## PKI NA
## plogr NA
## plotly "tools, scales, httr, jsonlite (>= 1.6), magrittr, digest,\nviridisLite, base64enc, htmltools (>= 0.3.6), htmlwidgets (>=\n1.3), tidyr, hexbin, RColorBrewer, dplyr, tibble, lazyeval (>=\n0.2.0), rlang, crosstalk, purrr, data.table, promises"
## plotrix "grDevices, graphics, stats, utils"
## pls "grDevices, graphics, methods, stats"
## plyr "Rcpp (>= 0.11.0)"
## polyclip NA
## polynom "stats, graphics"
## praise NA
## prettyunits NA
## processx "ps (>= 1.2.0), R6, utils"
## prodlim "Rcpp (>= 0.11.5), stats, grDevices, graphics, survival,\nKernSmooth, lava"
## progress "hms, prettyunits, R6, crayon"
## proj4 NA
## promises "R6, Rcpp, later, rlang, stats, magrittr"
## ps "utils"
## psych "mnormt,parallel,stats,graphics,grDevices,methods,foreign,lattice,nlme"
## purrr "magrittr (>= 1.5), rlang (>= 0.3.1)"
## purrrlyr "magrittr (>= 1.5), dplyr (>= 0.8.0), purrr (>= 0.2.2), Rcpp"
## qcc "MASS, utils, graphics, grDevices"
## qpdf "Rcpp, askpass, curl"
## quadprog NA
## quantmod "curl"
## quantreg "methods, graphics, Matrix, MatrixModels"
## R6 NA
## randomForest NA
## RANN NA
## rcmdcheck "callr (>= 3.1.1.9000), cli (>= 1.1.0), crayon, desc (>=\n1.2.0), digest, pkgbuild, prettyunits, R6, rprojroot,\nsessioninfo (>= 1.1.1), utils, withr, xopen"
## RColorBrewer NA
## Rcpp "methods, utils"
## RcppArmadillo "Rcpp (>= 0.11.0), stats, utils, methods"
## RcppEigen "Matrix (>= 1.1-0), Rcpp (>= 0.11.0), stats, utils"
## RCurl NA
## Rdpack "tools, utils, bibtex (>= 0.4.0), gbRd"
## readr "Rcpp (>= 0.12.0.5), tibble, hms (>= 0.4.1), R6, clipr, crayon,\nmethods"
## readxl "cellranger, Rcpp (>= 0.12.18), tibble (>= 1.3.1), utils"
## recipes "generics, glue, gower, ipred, lubridate, magrittr, Matrix,\npurrr (>= 0.2.3), rlang (>= 0.4.0), stats, tibble, tidyr (>=\n0.8.3), tidyselect (>= 0.2.5), timeDate, utils, withr"
## rematch NA
## rematch2 "tibble"
## remotes "methods, stats, tools, utils"
## reprex "callr (>= 2.0.0), clipr (>= 0.4.0), fs, rlang, rmarkdown,\nutils, whisker, withr"
## reshape "plyr"
## reshape2 "plyr (>= 1.8.1), Rcpp, stringr"
## rex "lazyeval"
## rio "tools, stats, utils, foreign, haven (>= 1.1.0), curl (>= 0.6),\ndata.table (>= 1.9.8), readxl (>= 0.1.1), openxlsx, tibble"
## rJava NA
## RJSONIO "methods"
## rlang NA
## rmarkdown "tools, utils, knitr (>= 1.22), yaml (>= 2.1.19), htmltools (>=\n0.3.5), evaluate (>= 0.13), base64enc, jsonlite, mime, tinytex\n(>= 0.11), xfun, methods, stringr (>= 1.2.0)"
## ROCR NA
## roxygen2 "brew, commonmark, desc (>= 1.2.0), digest, knitr, methods,\npkgload (>= 1.0.2), purrr (>= 0.3.3), R6 (>= 2.1.2), Rcpp (>=\n0.11.0), rlang, stringi, stringr (>= 1.0.0), utils, xml2"
## rpart NA
## rpart.plot NA
## rprojroot "backports"
## rsconnect "curl, digest, jsonlite, openssl, packrat (>= 0.4.8-1),\nrstudioapi (>= 0.5), yaml (>= 2.1.5)"
## rstudioapi NA
## Rttf2pt1 NA
## rtweet "httr (>= 1.3.0), jsonlite (>= 0.9.22), magrittr (>= 1.5.0),\ntibble (>= 1.3.4), utils, progress, Rcpp, httpuv"
## rversions "curl, utils, xml2 (>= 1.0.0)"
## rvest "httr (>= 0.5), magrittr, selectr"
## scales "farver (>= 2.0.0), labeling, munsell (>= 0.5), R6,\nRColorBrewer, viridisLite, lifecycle"
## scatterplot3d "grDevices, graphics, stats"
## selectr "methods, stringr, R6"
## sessioninfo "cli, tools, utils, withr"
## shades NA
## shiny "utils, grDevices, httpuv (>= 1.5.2), mime (>= 0.3), jsonlite\n(>= 0.9.16), xtable, digest, htmltools (>= 0.4.0), R6 (>= 2.0),\nsourcetools, later (>= 1.0.0), promises (>= 1.1.0), tools,\ncrayon, rlang (>= 0.4.0), fastmap (>= 1.0.0)"
## shinyjs "digest (>= 0.6.8), htmltools (>= 0.2.9), jsonlite, shiny (>=\n1.0.0)"
## slam "stats"
## sna NA
## snakecase "stringr, stringi"
## snow NA
## SnowballC NA
## snowfall NA
## sourcetools NA
## sp "utils, stats, graphics, grDevices, lattice, grid"
## SparseM "graphics, stats, utils"
## spatial NA
## spatstat "spatstat.utils (>= 1.15-0), mgcv, Matrix, deldir (>= 0.0-21),\nabind, tensor, polyclip (>= 1.10-0), goftest (>= 1.2-2)"
## spatstat.data "spatstat.utils"
## spatstat.utils NA
## splines "graphics, stats"
## SQUAREM NA
## StatMeasures "data.table (>= 1.9.4)"
## statnet.common "utils, methods, coda, parallel, tools"
## stats "utils, grDevices, graphics"
## stats4 "graphics, methods, stats"
## stopwords "ISOcodes"
## stringi "tools, utils, stats"
## stringr "glue (>= 1.2.0), magrittr, stringi (>= 1.1.7)"
## survival "graphics, Matrix, methods, splines, stats, utils"
## sys NA
## tcltk "utils"
## tensor NA
## testthat "cli, crayon (>= 1.3.4), digest, ellipsis, evaluate, magrittr,\nmethods, pkgload, praise, R6 (>= 2.2.0), rlang (>= 0.4.1),\nwithr (>= 2.0.0)"
## tibble "cli, crayon (>= 1.3.4), ellipsis (>= 0.2.0), fansi (>= 0.4.0),\nlifecycle (>= 0.2.0), magrittr, methods, pillar (>= 1.4.3),\npkgconfig, rlang (>= 0.4.3), utils, vctrs (>= 0.2.4)"
## tidyr "dplyr (>= 0.8.2), ellipsis (>= 0.1.0), glue, magrittr, purrr,\nRcpp, rlang, stringi, tibble (>= 2.1.1), tidyselect (>= 0.2.5),\nutils, vctrs (>= 0.2.0), lifecycle"
## tidyselect "ellipsis, glue (>= 1.3.0), purrr (>= 0.3.2), rlang (>= 0.4.3),\nvctrs (>= 0.2.2)"
## tidytext "rlang, dplyr, stringr, hunspell, generics, Matrix, tokenizers,\njaneaustenr, purrr (>= 0.1.1), methods, stopwords"
## tidyverse "broom (>= 0.4.2), cli (>= 1.0.0), crayon (>= 1.3.4), dplyr (>=\n0.7.4), dbplyr (>= 1.1.0), forcats (>= 0.2.0), ggplot2 (>=\n2.2.1), haven (>= 1.1.0), hms (>= 0.3), httr (>= 1.3.1),\njsonlite (>= 1.5), lubridate (>= 1.7.1), magrittr (>= 1.5),\nmodelr (>= 0.1.1), purrr (>= 0.2.4), readr (>= 1.1.1), readxl\n(>= 1.0.0), reprex (>= 0.1.1), rlang (>= 0.1.4), rstudioapi (>=\n0.7), rvest (>= 0.3.2), stringr (>= 1.2.0), tibble (>= 1.3.4),\ntidyr (>= 0.7.2), xml2 (>= 1.1.1)"
## timeDate NA
## tinytex "xfun (>= 0.5)"
## tm "Rcpp, parallel, slam (>= 0.1-37), stats, tools, utils,\ngraphics, xml2"
## tokenizers "stringi (>= 1.0.1), Rcpp (>= 0.12.3), SnowballC (>= 0.5.1)"
## tools NA
## topicmodels "stats4, methods, modeltools, slam, tm (>= 0.6)"
## treemapify "ggplot2 (>= 2.2.1), ggfittext (>= 0.5.0), grid (>= 3.1)"
## triangle NA
## triebeard "Rcpp"
## tseries "graphics, stats, utils, quadprog, zoo, quantmod (>= 0.4-9)"
## TTR "xts (>= 0.10-0), zoo, curl"
## tweenr "Rcpp (>= 0.12.3), grDevices, farver, magrittr, rlang"
## urca "nlme, graphics, stats"
## urltools "Rcpp, methods, triebeard"
## usethis "clipr (>= 0.3.0), cli, crayon, curl (>= 2.7), desc, fs (>=\n1.3.0), gh (>= 1.1.0), git2r (>= 0.23), glue (>= 1.3.0), purrr,\nrematch2, rlang (>= 0.4.3), rprojroot (>= 1.2), rstudioapi,\nstats, utils, whisker, withr, yaml"
## utf8 NA
## utils NA
## vctrs "ellipsis (>= 0.2.0), digest, glue, rlang (>= 0.4.5)"
## viridis "stats, ggplot2 (>= 1.0.1), gridExtra"
## viridisLite NA
## whisker NA
## withr "graphics, grDevices, stats"
## wordcloud "Rcpp (>= 0.9.4)"
## xfun "stats, tools"
## XML NA
## xml2 "Rcpp, methods"
## xopen "processx"
## xtable "stats, utils"
## xts "methods"
## yaml NA
## zeallot NA
## zip NA
## zoo "utils, graphics, grDevices, lattice (>= 0.20-27)"
## LinkingTo
## abind NA
## ash NA
## askpass NA
## assertthat NA
## backports NA
## base NA
## base64enc NA
## BBmisc NA
## BH NA
## bibtex NA
## BiocManager NA
## BiocVersion NA
## bit NA
## bit64 NA
## bitops NA
## boot NA
## brew NA
## broom NA
## callr NA
## car NA
## carData NA
## caret NA
## caTools NA
## cellranger NA
## checkmate NA
## class NA
## cli NA
## clipr NA
## cluster NA
## coda NA
## codetools NA
## colorspace NA
## colourpicker NA
## commonmark NA
## compiler NA
## corrplot NA
## covr NA
## cowplot NA
## crayon NA
## crosstalk NA
## curl NA
## data.table NA
## datasets NA
## DBI NA
## dbplyr NA
## deldir NA
## dendextend NA
## desc NA
## devtools NA
## digest NA
## DMwR NA
## dplyr "BH, plogr (>= 0.2.0), Rcpp (>= 1.0.1)"
## dslabs NA
## DT NA
## e1071 NA
## ellipse NA
## ellipsis NA
## evaluate NA
## extrafont NA
## extrafontdb NA
## factoextra NA
## FactoMineR NA
## fansi NA
## farver NA
## fastmap NA
## flashClust NA
## forcats NA
## foreach NA
## forecast "Rcpp (>= 0.11.0), RcppArmadillo (>= 0.2.35)"
## foreign NA
## fracdiff NA
## fs "Rcpp"
## gapminder NA
## gbm NA
## gbRd NA
## gdata NA
## generics NA
## geomnet NA
## geosphere NA
## GGally NA
## ggalt NA
## gganimate NA
## ggcorrplot NA
## ggdendro NA
## ggExtra NA
## ggfittext NA
## ggfortify NA
## ggnetwork NA
## ggplot2 NA
## ggpubr NA
## ggQC NA
## ggrepel "Rcpp"
## ggsci NA
## ggsignif NA
## ggthemes NA
## gh NA
## git2r NA
## glmnet NA
## glue NA
## goftest NA
## gower NA
## gplots NA
## graphics NA
## grDevices NA
## grid NA
## gridExtra NA
## gtable NA
## gtools NA
## gutenbergr NA
## haven "Rcpp"
## hexbin NA
## highr NA
## hms NA
## htm2txt NA
## htmltools "Rcpp"
## htmlwidgets NA
## httpuv "Rcpp, BH, later"
## httr NA
## hunspell "Rcpp (>= 0.12.12)"
## igraph NA
## infotheo NA
## ini NA
## ipred NA
## ISLR NA
## isoband "Rcpp, testthat"
## ISOcodes NA
## iterators NA
## janeaustenr NA
## janitor NA
## jsonlite NA
## Kendall NA
## kernlab NA
## KernSmooth NA
## knitr NA
## labeling NA
## later "Rcpp, BH"
## lattice NA
## lava NA
## lawstat NA
## lazyeval NA
## leaps NA
## lemon NA
## lifecycle NA
## lle NA
## lme4 "Rcpp (>= 0.10.5), RcppEigen"
## lmtest NA
## lubridate "Rcpp,"
## magrittr NA
## mallet NA
## maps NA
## maptools NA
## markdown NA
## MASS NA
## Matrix NA
## MatrixModels NA
## memoise NA
## methods NA
## mgcv NA
## mime NA
## minet NA
## miniUI NA
## minqa "Rcpp"
## mnormt NA
## ModelMetrics "Rcpp"
## modelr NA
## modeltools NA
## mosaicData NA
## mRMRe NA
## munsell NA
## mvtnorm NA
## network NA
## ngram NA
## nlme NA
## NLP NA
## nnet NA
## numDeriv NA
## openssl NA
## openxlsx "Rcpp"
## packrat NA
## parallel NA
## parallelMap NA
## pbkrtest NA
## pdftools "Rcpp"
## performanceEstimation NA
## pillar NA
## pkgbuild NA
## pkgconfig NA
## pkgload NA
## PKI NA
## plogr NA
## plotly NA
## plotrix NA
## pls NA
## plyr "Rcpp"
## polyclip NA
## polynom NA
## praise NA
## prettyunits NA
## processx NA
## prodlim "Rcpp"
## progress NA
## proj4 NA
## promises "later, Rcpp"
## ps NA
## psych NA
## purrr NA
## purrrlyr "Rcpp, BH"
## qcc NA
## qpdf "Rcpp"
## quadprog NA
## quantmod NA
## quantreg NA
## R6 NA
## randomForest NA
## RANN NA
## rcmdcheck NA
## RColorBrewer NA
## Rcpp NA
## RcppArmadillo "Rcpp"
## RcppEigen "Rcpp"
## RCurl NA
## Rdpack NA
## readr "Rcpp, BH"
## readxl "progress, Rcpp"
## recipes NA
## rematch NA
## rematch2 NA
## remotes NA
## reprex NA
## reshape NA
## reshape2 "Rcpp"
## rex NA
## rio NA
## rJava NA
## RJSONIO NA
## rlang NA
## rmarkdown NA
## ROCR NA
## roxygen2 "Rcpp"
## rpart NA
## rpart.plot NA
## rprojroot NA
## rsconnect NA
## rstudioapi NA
## Rttf2pt1 NA
## rtweet "Rcpp"
## rversions NA
## rvest NA
## scales NA
## scatterplot3d NA
## selectr NA
## sessioninfo NA
## shades NA
## shiny NA
## shinyjs NA
## slam NA
## sna NA
## snakecase NA
## snow NA
## SnowballC NA
## snowfall NA
## sourcetools NA
## sp NA
## SparseM NA
## spatial NA
## spatstat NA
## spatstat.data NA
## spatstat.utils NA
## splines NA
## SQUAREM NA
## StatMeasures NA
## statnet.common NA
## stats NA
## stats4 NA
## stopwords NA
## stringi NA
## stringr NA
## survival NA
## sys NA
## tcltk NA
## tensor NA
## testthat NA
## tibble NA
## tidyr "Rcpp"
## tidyselect NA
## tidytext NA
## tidyverse NA
## timeDate NA
## tinytex NA
## tm "BH, Rcpp"
## tokenizers "Rcpp"
## tools NA
## topicmodels NA
## treemapify NA
## triangle NA
## triebeard "Rcpp"
## tseries NA
## TTR "xts"
## tweenr "Rcpp"
## urca NA
## urltools "Rcpp"
## usethis NA
## utf8 NA
## utils NA
## vctrs NA
## viridis NA
## viridisLite NA
## whisker NA
## withr NA
## wordcloud "Rcpp"
## xfun NA
## XML NA
## xml2 "Rcpp (>= 0.12.12)"
## xopen NA
## xtable NA
## xts "zoo"
## yaml NA
## zeallot NA
## zip NA
## zoo NA
## Suggests
## abind NA
## ash NA
## askpass "testthat"
## assertthat "testthat, covr"
## backports NA
## base "methods"
## base64enc NA
## BBmisc "testthat, microbenchmark, codetools"
## BH NA
## bibtex "testthat"
## BiocManager "BiocStyle, BiocVersion, remotes, testthat, withr, curl, knitr"
## BiocVersion NA
## bit NA
## bit64 NA
## bitops NA
## boot "MASS, survival"
## brew NA
## broom "AER, akima, AUC, bbmle, betareg, biglm, binGroup, boot, brms,\nbtergm, car, caret, coda, covr, e1071, emmeans, ergm, gam (>=\n1.15), gamlss, gamlss.data, gamlss.dist, geepack, ggplot2,\nglmnet, gmm, Hmisc, irlba, joineRML, Kendall, knitr, ks,\nLahman, lavaan, lfe, lme4, lmodel2, lmtest, lsmeans, maps,\nmaptools, MASS, Matrix, mclust, mgcv, muhaz, multcomp, network,\nnnet, orcutt (>= 2.2), ordinal, plm, plyr, poLCA, psych,\nquantreg, rgeos, rmarkdown, robust, rsample, rstan, rstanarm,\nsp, speedglm, statnet.common, survey, survival, testthat,\ntseries, xergm, zoo"
## callr "cliapp, covr, crayon, fansi, pingr, ps, rprojroot, spelling,\ntestthat, tibble, withr"
## car "alr4, boot, coxme, leaps, lmtest, Matrix, MatrixModels, rgl\n(>= 0.93.960), sandwich, SparseM, survival, survey"
## carData NA
## caret "BradleyTerry2, e1071, earth (>= 2.2-3), fastICA, gam (>=\n1.15), ipred, kernlab, knitr, klaR, MASS, ellipse, mda, mgcv,\nmlbench, MLmetrics, nnet, party (>= 0.9-99992), pls, pROC,\nproxy, randomForest, RANN, spls, subselect, pamr, superpc,\nCubist, testthat (>= 0.9.1), rpart, dplyr"
## caTools "MASS, rpart"
## cellranger "covr, testthat (>= 1.0.0), knitr, rmarkdown"
## checkmate "R6, fastmatch, data.table (>= 1.9.8), devtools, ggplot2,\nknitr, magrittr, microbenchmark, rmarkdown, testthat (>=\n0.11.0), tinytest (>= 1.1.0), tibble"
## class NA
## cli "callr, covr, htmlwidgets, knitr, mockery, rmarkdown,\nrstudioapi, prettycode (>= 1.1.0), testthat, withr"
## clipr "covr, knitr, rmarkdown, rstudioapi (>= 0.5), testthat (>=\n2.0.0)"
## cluster "MASS, Matrix"
## coda NA
## codetools NA
## colorspace "datasets, utils, KernSmooth, MASS, kernlab, mvtnorm, vcd,\ntcltk, shiny, shinyjs, ggplot2, dplyr, scales, grid, png, jpeg,\nknitr, rmarkdown, RColorBrewer, rcartocolor, scico, viridis,\nwesanderson"
## colourpicker "knitr (>= 1.7), rmarkdown, rstudioapi (>= 0.5)"
## commonmark "curl, testthat, xml2"
## compiler NA
## corrplot "knitr, RColorBrewer, testthat"
## covr "R6, knitr, rmarkdown, htmltools, DT (>= 0.2), testthat,\nrlang, rstudioapi (>= 0.2), xml2 (>= 1.0.0), parallel, memoise,\nmockery"
## cowplot "Cairo, covr, dplyr, forcats, gridGraphics (>= 0.4-0), knitr,\nlattice, magick, maps, PASWR, rmarkdown, testthat (>= 1.0.0),\ntidyr, vdiffr (>= 0.3.0), VennDiagram"
## crayon "mockery, rstudioapi, testthat, withr"
## crosstalk "shiny, ggplot2, testthat (>= 2.1.0)"
## curl "spelling, testthat (>= 1.0.0), knitr, jsonlite, rmarkdown,\nmagrittr, httpuv (>= 1.4.4), webutils"
## data.table "bit64, curl, R.utils, knitr, xts, nanotime, zoo, yaml"
## datasets NA
## DBI "blob, covr, hms, knitr, magrittr, rprojroot, rmarkdown,\nRSQLite (>= 1.1-2), testthat, xml2"
## dbplyr "bit64, covr, knitr, Lahman, nycflights13, RMariaDB (>=\n1.0.2), rmarkdown, RMySQL (>= 0.10.11), RPostgreSQL (>= 0.4.1),\nRSQLite (>= 2.1.0), testthat (>= 2.0.0), withr (>= 2.1.2)"
## deldir "polyclip"
## dendextend "knitr, rmarkdown, testthat, seriation, colorspace, ape,\nmicrobenchmark, gplots, heatmaply, d3heatmap, dynamicTreeCut,\npvclust, corrplot, DendSer, MASS, cluster, fpc, circlize (>=\n0.2.5), covr"
## desc "covr, testthat, whoami, withr"
## devtools "BiocManager (>= 1.30.10), curl (>= 4.3), foghorn (>= 1.1.5),\ngmailr (>= 1.0.0), knitr (>= 1.28), lintr (>= 2.0.1), mockery\n(>= 0.4.2), pingr (>= 2.0.0), MASS, pkgdown (>= 1.5.1), rhub\n(>= 1.1.1), rmarkdown (>= 2.1), spelling (>= 2.1)"
## digest "tinytest, knitr, rmarkdown"
## DMwR NA
## dplyr "bit64, callr, covr, crayon (>= 1.3.4), DBI, dbplyr, dtplyr,\nggplot2, hms, knitr, Lahman, lubridate, MASS, mgcv,\nmicrobenchmark, nycflights13, rmarkdown, RMySQL, RPostgreSQL,\nRSQLite, testthat, withr, broom, purrr, readr"
## dslabs NA
## DT "knitr (>= 1.8), rmarkdown, shiny (>= 1.2.0)"
## e1071 "cluster, mlbench, nnet, randomForest, rpart, SparseM, xtable,\nMatrix, MASS, slam"
## ellipse "MASS"
## ellipsis "covr, testthat"
## evaluate "testthat, lattice, ggplot2"
## extrafont "fontcm"
## extrafontdb NA
## factoextra "ade4, ca, igraph, MASS, knitr, mclust"
## FactoMineR "missMDA,knitr,Factoshiny"
## fansi "unitizer, knitr, rmarkdown"
## farver "testthat (>= 2.1.0), covr"
## fastmap "testthat (>= 2.1.1)"
## flashClust NA
## forcats "covr, ggplot2, testthat, readr, knitr, rmarkdown, dplyr"
## foreach "randomForest"
## forecast "uroot, knitr, rmarkdown, rticles, testthat, methods"
## foreign NA
## fracdiff "longmemo, forecast, urca"
## fs "testthat, covr, pillar (>= 1.0.0), crayon, rmarkdown, knitr,\nwithr, spelling"
## gapminder "dplyr, ggplot2, testthat"
## gbm "knitr, pdp, RUnit, splines, viridis"
## gbRd NA
## gdata "RUnit"
## generics "covr, pkgload, testthat, tibble"
## geomnet "ggrepel, knitr, igraph, ggmap"
## geosphere "methods, raster"
## GGally "broom (>= 0.4.0), chemometrics, geosphere (>= 1.5-1), igraph\n(>= 1.0.1), intergraph (>= 2.0-2), maps (>= 3.1.0), mapproj,\nnetwork (>= 1.12.0), scagnostics, scales (>= 0.4.0), sna (>=\n2.3-2), survival, packagedocs (>= 0.4.0), rmarkdown, roxygen2,\ntestthat, crosstalk"
## ggalt "testthat, gridExtra, knitr, rmarkdown, ggthemes, reshape2"
## gganimate "magick, svglite, knitr, rmarkdown, testthat, base64enc,\nhtmltools, covr, transformr, av, gifski"
## ggcorrplot "knitr, spelling"
## ggdendro "rpart(>= 4.0-0), tree, testthat, knitr, cluster, scales"
## ggExtra "knitr (>= 1.7), rmarkdown, rstudioapi (>= 0.5), testthat,\nvdiffr, fontquiver, svglite, withr, devtools"
## ggfittext "knitr, rmarkdown, testthat, vdiffr, spelling"
## ggfortify "testthat, cluster, changepoint, dlm, fGarch, forecast,\nggrepel, glmnet, grDevices, KFAS, knitr, lintr, mapdata, MASS,\nMSwM, nlme, raster, ROCR, sp, stats, strucchange, survival,\ntimeSeries, tseries, utils, vars, xts, zoo, lfda"
## ggnetwork "knitr, testthat"
## ggplot2 "covr, dplyr, ggplot2movies, hexbin, Hmisc, knitr, lattice,\nmapproj, maps, maptools, multcomp, munsell, nlme, profvis,\nquantreg, rgeos, rmarkdown, rpart, sf (>= 0.7-3), svglite (>=\n1.2.0.9001), testthat (>= 2.1.0), vdiffr (>= 0.3.0)"
## ggpubr "grDevices, knitr, RColorBrewer, gtable"
## ggQC "testthat, gridExtra, knitr, rmarkdown, reshape2, plyr"
## ggrepel "knitr, rmarkdown, testthat, gridExtra, devtools, prettydoc"
## ggsci "knitr, rmarkdown, gridExtra, reshape2"
## ggsignif "testthat, knitr, rmarkdown"
## ggthemes "dplyr, covr, extrafont, glue, knitr, lattice, lintr, maps,\nmapproj, pander, rlang, rmarkdown, spelling, testthat, tidyr,\nvdiffr, withr"
## gh "covr, keyring, pingr, testthat, withr"
## git2r "getPass"
## glmnet "survival, knitr, lars"
## glue "testthat, covr, magrittr, crayon, knitr, rmarkdown, DBI,\nRSQLite, R.utils, forcats, microbenchmark, rprintf, stringr,\nggplot2, dplyr, withr, vctrs (>= 0.2.2)"
## goftest NA
## gower "tinytest (>= 0.9.3),"
## gplots "grid, MASS, knitr"
## graphics NA
## grDevices "KernSmooth"
## grid "lattice"
## gridExtra "ggplot2, egg, lattice, knitr, testthat"
## gtable "covr, testthat, knitr, rmarkdown, ggplot2, profvis"
## gtools NA
## gutenbergr "knitr, rmarkdown, testthat, tidytext, ggplot2, tidyr, curl"
## haven "covr, fs, knitr, rmarkdown, testthat, pillar (>= 1.1.1), cli,\ncrayon"
## hexbin "marray, affy, Biobase, limma, knitr"
## highr "knitr, testit"
## hms "crayon, lubridate, pillar (>= 1.1.0), testthat"
## htm2txt NA
## htmltools "markdown, testthat, withr"
## htmlwidgets "knitr (>= 1.8)"
## httpuv "testthat, callr, curl, websocket"
## httr "covr, httpuv, jpeg, knitr, png, readr, rmarkdown, testthat\n(>= 0.8.0), xml2"
## hunspell "spelling, testthat, pdftools, janeaustenr, wordcloud2, knitr,\nstopwords, rmarkdown"
## igraph "ape, digest, graph, igraphdata, rgl, scales, stats4, tcltk,\ntestthat"
## infotheo NA
## ini "testthat"
## ipred "mvtnorm, mlbench, TH.data"
## ISLR "MASS"
## isoband "covr, ggplot2, knitr, magick, microbenchmark, rmarkdown, sf,\ntestthat"
## ISOcodes NA
## iterators "RUnit, foreach"
## janeaustenr "dplyr, testthat"
## janitor "testthat, knitr, rmarkdown, sf, tibble"
## jsonlite "httr, curl, plyr, testthat, knitr, rmarkdown, R.rsp, sp"
## Kendall NA
## kernlab NA
## KernSmooth "MASS"
## knitr "formatR, testit, digest, rgl (>= 0.95.1201), codetools,\nrmarkdown, htmlwidgets (>= 0.7), webshot, tikzDevice (>= 0.10),\ntinytex, reticulate (>= 1.4), JuliaCall (>= 0.11.1), magick,\npng, jpeg, gifski, xml2 (>= 1.2.0), httr, DBI (>= 0.4-1),\nshowtext, tibble, sass, styler"
## labeling NA
## later "knitr, rmarkdown, testthat"
## lattice "KernSmooth, MASS, latticeExtra"
## lava "KernSmooth, Matrix, Rgraphviz, data.table, ellipse, fields,\nforeach, geepack, gof (>= 0.9), graph, igraph (>= 0.6),\nlava.tobit (>= 0.4.7), lme4, mets (>= 1.1), nlme, optimx,\npolycor, quantreg, rgl, testthat (>= 0.11), visNetwork, zoo"
## lawstat "fBasics"
## lazyeval "knitr, rmarkdown (>= 0.2.65), testthat, covr"
## leaps "biglm"
## lemon "rmarkdown, stringr, dplyr, testthat"
## lifecycle "covr, crayon, knitr, rmarkdown, testthat (>= 2.1.0)"
## lle "rgl"
## lme4 "knitr, rmarkdown, PKPDmodels, MEMSS, testthat (>= 0.8.1),\nggplot2, mlmRev, optimx (>= 2013.8.6), gamm4, pbkrtest, HSAUR2,\nnumDeriv, car, dfoptim"
## lmtest "car, strucchange, sandwich, dynlm, stats4, survival, AER"
## lubridate "testthat, knitr, covr"
## magrittr "testthat, knitr"
## mallet NA
## maps "mapproj (>= 1.2-0), mapdata (>= 2.3.0), sp, maptools,\nrnaturalearth"
## maptools "rgeos (>= 0.1-8), spatstat (>= 1.60), PBSmapping, maps,\nRColorBrewer, raster, polyclip, spatstat.utils"
## markdown "knitr, RCurl"
## MASS "lattice, nlme, nnet, survival"
## Matrix "expm, MASS"
## MatrixModels NA
## memoise "testthat, aws.s3, httr, covr"
## methods "codetools"
## mgcv "parallel, survival, MASS"
## mime NA
## minet NA
## miniUI NA
## minqa NA
## mnormt NA
## ModelMetrics "testthat"
## modelr "compiler, covr, ggplot2, testthat"
## modeltools NA
## mosaicData "lattice, mosaic, reshape2, ggplot2, dplyr, tidyr, ggformula"
## mRMRe NA
## munsell "ggplot2, testthat"
## mvtnorm NA
## network "sna, statnet.common, testthat, covr"
## ngram NA
## nlme "Hmisc, MASS"
## NLP NA
## nnet "MASS"
## numDeriv NA
## openssl "testthat, digest, knitr, rmarkdown, jsonlite, jose, sodium"
## openxlsx "knitr, testthat, roxygen2"
## packrat "testthat (>= 0.7), devtools, httr, knitr, rmarkdown"
## parallel "methods"
## parallelMap "BatchJobs (>= 1.8), batchtools (>= 0.9.6), data.table, Rmpi,\ntestthat"
## pbkrtest NA
## pdftools "jpeg, png, webp, testthat"
## performanceEstimation "knitr, rmarkdown, devtools, e1071, DMwR, randomForest,\nquantmod, nnet, mlbench, MASS"
## pillar "knitr, lubridate, testthat (>= 2.0.0), withr"
## pkgbuild "Rcpp, testthat, covr"
## pkgconfig "covr, testthat, disposables (>= 1.0.3)"
## pkgload "bitops, covr, Rcpp, testthat"
## PKI NA
## plogr "Rcpp"
## plotly "MASS, maps, ggthemes, GGally, testthat, knitr, devtools,\nshiny (>= 1.1.0), shinytest (>= 1.3.0), curl, rmarkdown,\nvdiffr, Cairo, broom, webshot, listviewer, dendextend, sf,\nmaptools, rgeos, png, IRdisplay, processx, plotlyGeoAssets,\nforcats"
## plotrix NA
## pls "MASS, parallel, Rmpi, testthat, RUnit"
## plyr "abind, testthat, tcltk, foreach, doParallel, itertools,\niterators, covr"
## polyclip NA
## polynom "knitr, rmarkdown"
## praise "testthat"
## prettyunits "codetools, covr, testthat"
## processx "callr (>= 3.2.0), codetools, covr, crayon, curl, debugme,\nparallel, testthat, withr"
## prodlim NA
## progress "Rcpp, testthat, withr"
## proj4 NA
## promises "testthat, future, knitr, rmarkdown"
## ps "callr, covr, curl, pingr, processx (>= 3.1.0), R6, rlang,\ntestthat, tibble"
## psych "GPArotation, lavaan, sem, lme4,Rcsdp, graph, Rgraphviz"
## purrr "covr, crayon, dplyr (>= 0.7.8), knitr, rmarkdown, testthat,\ntibble, tidyselect"
## purrrlyr "testthat, covr"
## qcc "knitr (>= 1.12), rmarkdown (>= 0.9)"
## qpdf "testthat"
## quadprog NA
## quantmod "DBI,RMySQL,RSQLite,timeSeries,XML,downloader,jsonlite(>= 1.1)"
## quantreg "tripack, akima, MASS, survival, rgl, logspline, nor1mix,\nFormula, zoo, R.rsp"
## R6 "knitr, microbenchmark, pryr, testthat, ggplot2, scales"
## randomForest "RColorBrewer, MASS"
## RANN "testthat"
## rcmdcheck "covr, knitr, mockery, rmarkdown, testthat"
## RColorBrewer NA
## Rcpp "tinytest, inline, rbenchmark, pkgKitten (>= 0.1.2)"
## RcppArmadillo "tinytest, Matrix, pkgKitten, reticulate, slam"
## RcppEigen "inline, tinytest, pkgKitten, microbenchmark"
## RCurl "Rcompression, XML"
## Rdpack "grDevices, testthat, rstudioapi, rprojroot"
## readr "curl, testthat, knitr, rmarkdown, stringi, covr, spelling"
## readxl "covr, knitr, rmarkdown, rprojroot (>= 1.1), testthat"
## recipes "covr, ddalpha, dimRed (>= 0.2.2), fastICA, ggplot2, igraph,\nkernlab, knitr, pls, RANN, RcppRoll, rmarkdown, rpart, rsample,\nRSpectra, testthat (>= 2.1.0)"
## rematch "covr, testthat"
## rematch2 "covr, testthat"
## remotes "brew, callr, codetools, curl, covr, git2r (>= 0.23.0), knitr,\nmockery, pkgbuild (>= 1.0.1), pingr, rmarkdown, rprojroot,\ntestthat, withr"
## reprex "covr, devtools, fortunes, knitr, miniUI, rprojroot,\nrstudioapi, shiny, styler (>= 1.0.2), testthat (>= 2.0.0)"
## reshape NA
## reshape2 "covr, lattice, testthat (>= 0.8.0)"
## rex "testthat, knitr, rmarkdown, dplyr, ggplot2, magrittr, Hmisc,\nstringr, rvest, roxygen2, covr"
## rio "datasets, bit64, testthat, knitr, magrittr, clipr, csvy,\nfeather, fst, hexView, jsonlite, readODS (>= 1.6.4), readr,\nrmatio, xml2 (>= 1.2.0), yaml"
## rJava NA
## RJSONIO NA
## rlang "cli, covr, crayon, glue, magrittr, methods, pillar,\nrmarkdown, testthat (>= 2.3.0), vctrs (>= 0.2.3)"
## rmarkdown "shiny (>= 0.11), tufte, testthat, digest, dygraphs, tibble,\nfs, pkgdown, callr (>= 2.0.0)"
## ROCR NA
## roxygen2 "covr, devtools, rmarkdown, testthat (>= 2.1.0), R.methodsS3,\nR.oo"
## rpart "survival"
## rpart.plot "earth (>= 5.1.0)"
## rprojroot "testthat, mockr, knitr, withr, rmarkdown"
## rsconnect "RCurl, callr, httpuv, knitr, plumber (>= 0.3.2), reticulate,\nrmarkdown (>= 1.1), shiny, sourcetools, testthat, xtable"
## rstudioapi "testthat, knitr, rmarkdown, clipr"
## Rttf2pt1 NA
## rtweet "ggplot2, knitr, magick, openssl, readr, rmarkdown, testthat\n(>= 2.1.0), webshot, covr, igraph"
## rversions "mockery, testthat"
## rvest "covr, knitr, png, rmarkdown, spelling, stringi (>= 0.3.1),\ntestthat"
## scales "bit64, covr, dichromat, hms, testthat (>= 2.1.0), ggplot2"
## scatterplot3d NA
## selectr "testthat, XML, xml2"
## sessioninfo "callr, covr, mockery, testthat"
## shades "testthat, covr, ggplot2"
## shiny "datasets, Cairo (>= 1.5-5), testthat (>= 2.1.1), knitr (>=\n1.6), markdown, rmarkdown, ggplot2, reactlog (>= 1.0.0),\nmagrittr, yaml"
## shinyjs "knitr (>= 1.7), rmarkdown, shinyAce, testthat (>= 0.9.1), V8\n(>= 0.6)"
## slam NA
## sna "rgl, numDeriv, SparseM"
## snakecase "testthat, covr, tibble, purrrlyr, knitr, rmarkdown, magrittr"
## snow "Rmpi,rlecuyer,nws"
## SnowballC NA
## snowfall "Rmpi"
## sourcetools "testthat"
## sp "RColorBrewer, rgdal (>= 0.8-7), rgeos (>= 0.3-13), gstat,\nmaptools, deldir"
## SparseM NA
## spatial "MASS"
## spatstat "sm, maptools, gsl, locfit, spatial, rpanel, tkrplot,\nRandomFields (>= 3.1.24.1), RandomFieldsUtils(>= 0.3.3.1),\nfftwtools (>= 0.9-8)"
## spatstat.data "spatstat (>= 1.55-0)"
## spatstat.utils "spatstat"
## splines "Matrix, methods"
## SQUAREM "setRNG"
## StatMeasures NA
## statnet.common "covr"
## stats "MASS, Matrix, SuppDists, methods, stats4"
## stats4 NA
## stopwords "covr, lintr, quanteda, spelling, testthat"
## stringi NA
## stringr "covr, htmltools, htmlwidgets, knitr, rmarkdown, testthat"
## survival NA
## sys "unix (>= 1.4), spelling, testthat"
## tcltk NA
## tensor NA
## testthat "covr, curl (>= 0.9.5), devtools, knitr, rmarkdown, usethis,\nvctrs (>= 0.1.0), xml2"
## tibble "bench, bit64, blob, covr, dplyr, evaluate, hms, htmltools,\nimport, knitr, mockr, nycflights13, purrr, rmarkdown, testthat\n(>= 2.1.0), tidyr, withr"
## tidyr "covr, jsonlite, knitr, repurrrsive (>= 1.0.0), rmarkdown,\nreadr, testthat (>= 2.1.0)"
## tidyselect "covr, crayon, dplyr, knitr, magrittr, rmarkdown, testthat (>=\n2.3.0), tibble (>= 2.1.3), withr"
## tidytext "readr, tidyr, XML, tm, quanteda, knitr, rmarkdown, ggplot2,\nreshape2, wordcloud, topicmodels, NLP, scales, gutenbergr,\ntestthat, vdiffr, mallet, stm, data.table, broom, textdata"
## tidyverse "feather (>= 0.3.1), knitr (>= 1.17), rmarkdown (>= 1.7.4)"
## timeDate "date, RUnit"
## tinytex "testit, rstudioapi"
## tm "antiword, filehash, methods, pdftools, Rcampdf, Rgraphviz,\nRpoppler, SnowballC, testthat, tm.lexicon.GeneralInquirer"
## tokenizers "covr, knitr, rmarkdown, stopwords (>= 0.9.0), testthat"
## tools "codetools, methods, xml2, curl, commonmark"
## topicmodels "lasso2, lattice, lda, OAIHarvester, SnowballC,\ncorpus.JSS.papers"
## treemapify "knitr, rmarkdown, testthat, vdiffr"
## triangle "testthat, knitr, rmarkdown, covr"
## triebeard "knitr, rmarkdown, testthat"
## tseries NA
## TTR "RUnit"
## tweenr "testthat, covr"
## urca NA
## urltools "testthat, knitr"
## usethis "covr, knitr, magick, pkgdown (>= 1.4.0), rmarkdown, roxygen2,\nspelling (>= 1.2), styler (>= 1.2.0), testthat (>= 2.1.0)"
## utf8 "knitr, rmarkdown, testthat"
## utils "methods, xml2, commonmark"
## vctrs "bit64, covr, crayon, generics, knitr, pillar (>= 1.4.1),\npkgdown, rmarkdown, testthat (>= 2.3.0), tibble, xml2, zeallot"
## viridis "hexbin (>= 1.27.0), scales, MASS, knitr, dichromat,\ncolorspace, rasterVis, httr, mapproj, vdiffr, svglite (>=\n1.2.0), testthat, covr, rmarkdown, rgdal"
## viridisLite "hexbin (>= 1.27.0), ggplot2 (>= 1.0.1), testthat, covr"
## whisker "markdown"
## withr "covr, DBI, knitr, lattice, methods, rmarkdown, RSQLite,\ntestthat (>= 2.1.0)"
## wordcloud "tm (>= 0.6), slam"
## xfun "testit, parallel, rstudioapi, tinytex, mime, markdown, knitr,\nhtmltools, base64enc, remotes, rmarkdown"
## XML "bitops, RCurl"
## xml2 "covr, curl, httr, knitr, magrittr, mockery, rmarkdown,\ntestthat (>= 2.1.0)"
## xopen "ps, testthat"
## xtable "knitr, plm, zoo, survival"
## xts "timeSeries, timeDate, tseries, chron, fts, tis, RUnit"
## yaml "RUnit"
## zeallot "testthat, knitr, rmarkdown, purrr, magrittr"
## zip "covr, processx, R6, testthat, withr"
## zoo "AER, coda, chron, fts, ggplot2 (>= 3.0.0), mondate, scales,\nstrucchange, timeDate, timeSeries, tis, tseries, xts"
## Enhances
## abind NA
## ash NA
## askpass NA
## assertthat NA
## backports NA
## base NA
## base64enc "png"
## BBmisc NA
## BH NA
## bibtex NA
## BiocManager NA
## BiocVersion NA
## bit NA
## bit64 NA
## bitops NA
## boot NA
## brew NA
## broom NA
## callr NA
## car NA
## carData NA
## caret NA
## caTools NA
## cellranger NA
## checkmate NA
## class NA
## cli NA
## clipr NA
## cluster NA
## coda NA
## codetools NA
## colorspace NA
## colourpicker NA
## commonmark NA
## compiler NA
## corrplot NA
## covr NA
## cowplot NA
## crayon NA
## crosstalk NA
## curl NA
## data.table NA
## datasets NA
## DBI NA
## dbplyr NA
## deldir NA
## dendextend "ggdendro, dendroextras, Hmisc, data.table, rpart"
## desc NA
## devtools NA
## digest NA
## DMwR NA
## dplyr NA
## dslabs NA
## DT NA
## e1071 NA
## ellipse NA
## ellipsis NA
## evaluate NA
## extrafont NA
## extrafontdb NA
## factoextra NA
## FactoMineR NA
## fansi NA
## farver NA
## fastmap NA
## flashClust NA
## forcats NA
## foreach "compiler, doMC, RUnit, doParallel"
## forecast NA
## foreign NA
## fracdiff NA
## fs NA
## gapminder NA
## gbm NA
## gbRd NA
## gdata NA
## generics NA
## geomnet NA
## geosphere NA
## GGally NA
## ggalt NA
## gganimate NA
## ggcorrplot NA
## ggdendro NA
## ggExtra NA
## ggfittext NA
## ggfortify NA
## ggnetwork NA
## ggplot2 "sp"
## ggpubr NA
## ggQC NA
## ggrepel NA
## ggsci NA
## ggsignif NA
## ggthemes NA
## gh NA
## git2r NA
## glmnet NA
## glue NA
## goftest NA
## gower NA
## gplots NA
## graphics NA
## grDevices NA
## grid NA
## gridExtra NA
## gtable NA
## gtools NA
## gutenbergr NA
## haven NA
## hexbin NA
## highr NA
## hms NA
## htm2txt NA
## htmltools "knitr"
## htmlwidgets "shiny (>= 1.1)"
## httpuv NA
## httr NA
## hunspell NA
## igraph NA
## infotheo NA
## ini NA
## ipred NA
## ISLR NA
## isoband NA
## ISOcodes NA
## iterators NA
## janeaustenr NA
## janitor NA
## jsonlite NA
## Kendall NA
## kernlab NA
## KernSmooth NA
## knitr NA
## labeling NA
## later NA
## lattice "chron"
## lava NA
## lawstat NA
## lazyeval NA
## leaps NA
## lemon NA
## lifecycle NA
## lle NA
## lme4 NA
## lmtest NA
## lubridate "chron, fts, timeSeries, timeDate, tis, tseries, xts, zoo"
## magrittr NA
## mallet NA
## maps NA
## maptools "gpclib, RArcInfo"
## markdown NA
## MASS NA
## Matrix "MatrixModels, graph, SparseM, sfsmisc"
## MatrixModels NA
## memoise NA
## methods NA
## mgcv NA
## mime NA
## minet NA
## miniUI NA
## minqa NA
## mnormt NA
## ModelMetrics NA
## modelr NA
## modeltools NA
## mosaicData NA
## mRMRe NA
## munsell NA
## mvtnorm NA
## network NA
## ngram NA
## nlme NA
## NLP "udpipe, spacyr, cleanNLP"
## nnet NA
## numDeriv NA
## openssl NA
## openxlsx NA
## packrat NA
## parallel "snow, nws, Rmpi"
## parallelMap NA
## pbkrtest NA
## pdftools NA
## performanceEstimation NA
## pillar NA
## pkgbuild NA
## pkgconfig NA
## pkgload NA
## PKI "gmp"
## plogr NA
## plotly NA
## plotrix NA
## pls NA
## plyr NA
## polyclip NA
## polynom NA
## praise NA
## prettyunits NA
## processx NA
## prodlim NA
## progress NA
## proj4 NA
## promises NA
## ps NA
## psych NA
## purrr NA
## purrrlyr NA
## qcc NA
## qpdf NA
## quadprog NA
## quantmod NA
## quantreg NA
## R6 NA
## randomForest NA
## RANN NA
## rcmdcheck NA
## RColorBrewer NA
## Rcpp NA
## RcppArmadillo NA
## RcppEigen NA
## RCurl NA
## Rdpack NA
## readr NA
## readxl NA
## recipes NA
## rematch NA
## rematch2 NA
## remotes NA
## reprex NA
## reshape NA
## reshape2 NA
## rex NA
## rio NA
## rJava NA
## RJSONIO NA
## rlang NA
## rmarkdown NA
## ROCR NA
## roxygen2 NA
## rpart NA
## rpart.plot NA
## rprojroot NA
## rsconnect NA
## rstudioapi NA
## Rttf2pt1 NA
## rtweet NA
## rversions NA
## rvest NA
## scales NA
## scatterplot3d NA
## selectr NA
## sessioninfo NA
## shades "colorspace"
## shiny NA
## shinyjs NA
## slam "Matrix, SparseM, spam"
## sna NA
## snakecase NA
## snow NA
## SnowballC NA
## snowfall NA
## sourcetools NA
## sp NA
## SparseM NA
## spatial NA
## spatstat NA
## spatstat.data NA
## spatstat.utils NA
## splines NA
## SQUAREM NA
## StatMeasures NA
## statnet.common NA
## stats NA
## stats4 NA
## stopwords NA
## stringi NA
## stringr NA
## survival NA
## sys NA
## tcltk NA
## tensor NA
## testthat NA
## tibble NA
## tidyr NA
## tidyselect NA
## tidytext NA
## tidyverse NA
## timeDate NA
## tinytex NA
## tm NA
## tokenizers NA
## tools NA
## topicmodels NA
## treemapify NA
## triangle NA
## triebeard NA
## tseries NA
## TTR "quantmod"
## tweenr NA
## urca NA
## urltools NA
## usethis NA
## utf8 NA
## utils NA
## vctrs NA
## viridis NA
## viridisLite NA
## whisker NA
## withr NA
## wordcloud NA
## xfun NA
## XML NA
## xml2 NA
## xopen NA
## xtable NA
## xts NA
## yaml NA
## zeallot NA
## zip NA
## zoo NA
## License
## abind "LGPL (>= 2)"
## ash "GPL (>= 2)"
## askpass "MIT + file LICENSE"
## assertthat "GPL-3"
## backports "GPL-2 | GPL-3"
## base "Part of R 3.6.1"
## base64enc "GPL-2 | GPL-3"
## BBmisc "BSD_2_clause + file LICENSE"
## BH "BSL-1.0"
## bibtex "GPL (>= 2)"
## BiocManager "Artistic-2.0"
## BiocVersion "Artistic-2.0"
## bit "GPL-2"
## bit64 "GPL-2"
## bitops "GPL (>= 2)"
## boot "Unlimited"
## brew "GPL-2"
## broom "MIT + file LICENSE"
## callr "MIT + file LICENSE"
## car "GPL (>= 2)"
## carData "GPL (>= 2)"
## caret "GPL (>= 2)"
## caTools "GPL-3"
## cellranger "MIT + file LICENSE"
## checkmate "BSD_3_clause + file LICENSE"
## class "GPL-2 | GPL-3"
## cli "MIT + file LICENSE"
## clipr "GPL-3"
## cluster "GPL (>= 2)"
## coda "GPL (>= 2)"
## codetools "GPL"
## colorspace "BSD_3_clause + file LICENSE"
## colourpicker "MIT + file LICENSE"
## commonmark "BSD_2_clause + file LICENSE"
## compiler "Part of R 3.6.1"
## corrplot "GPL"
## covr "GPL-3"
## cowplot "GPL-2"
## crayon "MIT + file LICENSE"
## crosstalk "MIT + file LICENSE"
## curl "MIT + file LICENSE"
## data.table "MPL-2.0 | file LICENSE"
## datasets "Part of R 3.6.1"
## DBI "LGPL (>= 2)"
## dbplyr "MIT + file LICENSE"
## deldir "GPL (>= 2)"
## dendextend "GPL-2 | GPL-3"
## desc "MIT + file LICENSE"
## devtools "GPL (>= 2)"
## digest "GPL (>= 2)"
## DMwR "GPL (>= 2)"
## dplyr "MIT + file LICENSE"
## dslabs "Artistic-2.0"
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## knitr "no" "3.6.0"
## labeling "no" "3.6.0"
## later "yes" "3.6.0"
## lattice "yes" "3.6.1"
## lava "no" "3.6.0"
## lawstat "no" "3.6.2"
## lazyeval "yes" "3.6.0"
## leaps "yes" "3.6.0"
## lemon "no" "3.6.0"
## lifecycle "no" "3.6.0"
## lle NA "3.6.0"
## lme4 "yes" "3.6.0"
## lmtest "yes" "3.6.0"
## lubridate "yes" "3.6.0"
## magrittr "no" "3.6.0"
## mallet "no" "3.6.0"
## maps "yes" "3.6.0"
## maptools "yes" "3.6.0"
## markdown "yes" "3.6.0"
## MASS "yes" "3.6.1"
## Matrix "yes" "3.6.1"
## MatrixModels "no" "3.6.0"
## memoise "no" "3.6.0"
## methods "yes" "3.6.1"
## mgcv "yes" "3.6.1"
## mime "yes" "3.6.0"
## minet "yes" "3.6.0"
## miniUI "no" "3.6.0"
## minqa "yes" "3.6.0"
## mnormt "yes" "3.6.0"
## ModelMetrics "yes" "3.6.0"
## modelr "no" "3.6.0"
## modeltools "no" "3.6.0"
## mosaicData "no" "3.6.0"
## mRMRe "yes" "3.6.0"
## munsell "no" "3.6.0"
## mvtnorm "yes" "3.6.2"
## network "yes" "3.6.0"
## ngram "yes" "3.6.0"
## nlme "yes" "3.6.0"
## NLP "no" "3.6.0"
## nnet "yes" "3.6.1"
## numDeriv "no" "3.6.0"
## openssl "yes" "3.6.0"
## openxlsx "yes" "3.6.0"
## packrat "no" "3.6.1"
## parallel "yes" "3.6.1"
## parallelMap "no" "3.6.0"
## pbkrtest "no" "3.6.0"
## pdftools "yes" "3.6.0"
## performanceEstimation "no" "3.6.0"
## pillar "no" "3.6.0"
## pkgbuild "no" "3.6.2"
## pkgconfig "no" "3.6.0"
## pkgload "yes" "3.6.0"
## PKI "yes" "3.6.0"
## plogr "no" "3.6.0"
## plotly "no" "3.6.2"
## plotrix "no" "3.6.0"
## pls "no" "3.6.0"
## plyr "yes" "3.6.0"
## polyclip "yes" "3.6.0"
## polynom "no" "3.6.0"
## praise "no" "3.6.0"
## prettyunits "no" "3.6.0"
## processx "yes" "3.6.0"
## prodlim "yes" "3.6.0"
## progress "no" "3.6.0"
## proj4 "yes" "3.6.0"
## promises "yes" "3.6.0"
## ps "yes" "3.6.0"
## psych "no" "3.6.0"
## purrr "yes" "3.6.2"
## purrrlyr "yes" "3.6.0"
## qcc "no" "3.6.0"
## qpdf "yes" "3.6.0"
## quadprog "yes" "3.6.0"
## quantmod "no" "3.6.0"
## quantreg "yes" "3.6.0"
## R6 "no" "3.6.0"
## randomForest "yes" "3.6.0"
## RANN "yes" "3.6.0"
## rcmdcheck "no" "3.6.0"
## RColorBrewer "no" "3.6.0"
## Rcpp "yes" "3.6.0"
## RcppArmadillo "yes" "3.6.2"
## RcppEigen "yes" "3.6.0"
## RCurl "yes" "3.6.0"
## Rdpack "no" "3.6.2"
## readr "yes" "3.6.0"
## readxl "yes" "3.6.0"
## recipes "no" "3.6.0"
## rematch "no" "3.6.0"
## rematch2 "no" "3.6.2"
## remotes "no" "3.6.0"
## reprex "no" "3.6.0"
## reshape "yes" "3.6.0"
## reshape2 "yes" "3.6.0"
## rex "no" "3.6.2"
## rio "no" "3.6.0"
## rJava "yes" "3.6.0"
## RJSONIO "yes" "3.6.0"
## rlang "yes" "3.6.0"
## rmarkdown "no" "3.6.0"
## ROCR "no" "3.6.0"
## roxygen2 "yes" "3.6.0"
## rpart "yes" "3.6.1"
## rpart.plot "no" "3.6.0"
## rprojroot "no" "3.6.0"
## rsconnect "no" "3.6.1"
## rstudioapi "no" "3.6.0"
## Rttf2pt1 "yes" "3.6.0"
## rtweet "yes" "3.6.0"
## rversions "no" "3.6.0"
## rvest "no" "3.6.0"
## scales "no" "3.6.0"
## scatterplot3d "no" "3.6.0"
## selectr "no" "3.6.0"
## sessioninfo "no" "3.6.0"
## shades "no" "3.6.0"
## shiny "no" "3.6.0"
## shinyjs "no" "3.6.0"
## slam "yes" "3.6.0"
## sna "yes" "3.6.0"
## snakecase "no" "3.6.0"
## snow "no" "3.6.0"
## SnowballC "yes" "3.6.0"
## snowfall "no" "3.6.0"
## sourcetools "yes" "3.6.0"
## sp "yes" "3.6.0"
## SparseM "yes" "3.6.0"
## spatial "yes" "3.6.1"
## spatstat "yes" "3.6.0"
## spatstat.data "no" "3.6.0"
## spatstat.utils "yes" "3.6.0"
## splines "yes" "3.6.1"
## SQUAREM "no" "3.6.0"
## StatMeasures "no" "3.6.0"
## statnet.common "yes" "3.6.0"
## stats "yes" "3.6.1"
## stats4 NA "3.6.1"
## stopwords "no" "3.6.0"
## stringi "yes" "3.6.0"
## stringr "no" "3.6.0"
## survival "yes" "3.6.1"
## sys "yes" "3.6.0"
## tcltk "yes" "3.6.1"
## tensor NA "3.6.0"
## testthat "yes" "3.6.0"
## tibble "yes" "3.6.2"
## tidyr "yes" "3.6.0"
## tidyselect "yes" "3.6.0"
## tidytext "no" "3.6.0"
## tidyverse "no" "3.6.0"
## timeDate "no" "3.6.0"
## tinytex "no" "3.6.0"
## tm "yes" "3.6.0"
## tokenizers "yes" "3.6.0"
## tools "yes" "3.6.1"
## topicmodels "yes" "3.6.0"
## treemapify "no" "3.6.0"
## triangle "no" "3.6.0"
## triebeard "yes" "3.6.0"
## tseries "yes" "3.6.0"
## TTR "yes" "3.6.0"
## tweenr "yes" "3.6.0"
## urca "yes" "3.6.0"
## urltools "yes" "3.6.0"
## usethis "no" "3.6.2"
## utf8 "yes" "3.6.0"
## utils "yes" "3.6.1"
## vctrs "yes" "3.6.0"
## viridis "no" "3.6.0"
## viridisLite "no" "3.6.0"
## whisker "no" "3.6.0"
## withr "no" "3.6.2"
## wordcloud "yes" "3.6.0"
## xfun "no" "3.6.0"
## XML "yes" "3.6.0"
## xml2 "yes" "3.6.0"
## xopen "no" "3.6.0"
## xtable "no" "3.6.0"
## xts "yes" "3.6.0"
## yaml "yes" "3.6.0"
## zeallot "no" "3.6.0"
## zip "yes" "3.6.0"
## zoo "yes" "3.6.0"
# uncomment to update the currently installed packages
# update.packages()
# uncomment to install a specific package
# install.packages("specific_package_name")
R’s various help files and demos can be accessed using the following commands (where function_name and search_term correspond to the desired function and/or term):
?function_name
example(function_name)
args(function_name)
??search_term
# uncomment the line to see the help file in the bottom right window.
# ?glm
example(glm)
##
## glm> ## Dobson (1990) Page 93: Randomized Controlled Trial :
## glm> counts <- c(18,17,15,20,10,20,25,13,12)
##
## glm> outcome <- gl(3,1,9)
##
## glm> treatment <- gl(3,3)
##
## glm> print(d.AD <- data.frame(treatment, outcome, counts))
## treatment outcome counts
## 1 1 1 18
## 2 1 2 17
## 3 1 3 15
## 4 2 1 20
## 5 2 2 10
## 6 2 3 20
## 7 3 1 25
## 8 3 2 13
## 9 3 3 12
##
## glm> glm.D93 <- glm(counts ~ outcome + treatment, family = poisson())
##
## glm> anova(glm.D93)
## Analysis of Deviance Table
##
## Model: poisson, link: log
##
## Response: counts
##
## Terms added sequentially (first to last)
##
##
## Df Deviance Resid. Df Resid. Dev
## NULL 8 10.5814
## outcome 2 5.4523 6 5.1291
## treatment 2 0.0000 4 5.1291
##
## glm> ## No test:
## glm> ##D summary(glm.D93)
## glm> ## End(No test)
## glm> ## Computing AIC [in many ways]:
## glm> (A0 <- AIC(glm.D93))
## [1] 56.76132
##
## glm> (ll <- logLik(glm.D93))
## 'log Lik.' -23.38066 (df=5)
##
## glm> A1 <- -2*c(ll) + 2*attr(ll, "df")
##
## glm> A2 <- glm.D93$family$aic(counts, mu=fitted(glm.D93), wt=1) +
## glm+ 2 * length(coef(glm.D93))
##
## glm> stopifnot(exprs = {
## glm+ all.equal(A0, A1)
## glm+ all.equal(A1, A2)
## glm+ all.equal(A1, glm.D93$aic)
## glm+ })
##
## glm> ## No test:
## glm> ##D ## an example with offsets from Venables & Ripley (2002, p.189)
## glm> ##D utils::data(anorexia, package = "MASS")
## glm> ##D
## glm> ##D anorex.1 <- glm(Postwt ~ Prewt + Treat + offset(Prewt),
## glm> ##D family = gaussian, data = anorexia)
## glm> ##D summary(anorex.1)
## glm> ## End(No test)
## glm>
## glm> # A Gamma example, from McCullagh & Nelder (1989, pp. 300-2)
## glm> clotting <- data.frame(
## glm+ u = c(5,10,15,20,30,40,60,80,100),
## glm+ lot1 = c(118,58,42,35,27,25,21,19,18),
## glm+ lot2 = c(69,35,26,21,18,16,13,12,12))
##
## glm> summary(glm(lot1 ~ log(u), data = clotting, family = Gamma))
##
## Call:
## glm(formula = lot1 ~ log(u), family = Gamma, data = clotting)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -0.04008 -0.03756 -0.02637 0.02905 0.08641
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -0.0165544 0.0009275 -17.85 4.28e-07 ***
## log(u) 0.0153431 0.0004150 36.98 2.75e-09 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.002446059)
##
## Null deviance: 3.51283 on 8 degrees of freedom
## Residual deviance: 0.01673 on 7 degrees of freedom
## AIC: 37.99
##
## Number of Fisher Scoring iterations: 3
##
##
## glm> summary(glm(lot2 ~ log(u), data = clotting, family = Gamma))
##
## Call:
## glm(formula = lot2 ~ log(u), family = Gamma, data = clotting)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -0.05574 -0.02925 0.01030 0.01714 0.06371
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -0.0239085 0.0013265 -18.02 4.00e-07 ***
## log(u) 0.0235992 0.0005768 40.91 1.36e-09 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for Gamma family taken to be 0.001813354)
##
## Null deviance: 3.118557 on 8 degrees of freedom
## Residual deviance: 0.012672 on 7 degrees of freedom
## AIC: 27.032
##
## Number of Fisher Scoring iterations: 3
##
##
## glm> ## Aliased ("S"ingular) -> 1 NA coefficient
## glm> (fS <- glm(lot2 ~ log(u) + log(u^2), data = clotting, family = Gamma))
##
## Call: glm(formula = lot2 ~ log(u) + log(u^2), family = Gamma, data = clotting)
##
## Coefficients:
## (Intercept) log(u) log(u^2)
## -0.02391 0.02360 NA
##
## Degrees of Freedom: 8 Total (i.e. Null); 7 Residual
## Null Deviance: 3.119
## Residual Deviance: 0.01267 AIC: 27.03
##
## glm> tools::assertError(update(fS, singular.ok=FALSE), verbose=interactive())
##
## glm> ## -> .. "singular fit encountered"
## glm>
## glm> ## Not run:
## glm> ##D ## for an example of the use of a terms object as a formula
## glm> ##D demo(glm.vr)
## glm> ## End(Not run)
## glm>
## glm>
We can copy code from the example file, and run it directly.
counts <- c(18,17,15,20,10,20,25,13,12)
outcome <- gl(3,1,9)
treatment <- gl(3,3)
print(d.AD <- data.frame(treatment, outcome, counts))
## treatment outcome counts
## 1 1 1 18
## 2 1 2 17
## 3 1 3 15
## 4 2 1 20
## 5 2 2 10
## 6 2 3 20
## 7 3 1 25
## 8 3 2 13
## 9 3 3 12
glm.D93 <- glm(counts ~ outcome + treatment, family = poisson())
anova(glm.D93)
summary(glm.D93)
##
## Call:
## glm(formula = counts ~ outcome + treatment, family = poisson())
##
## Deviance Residuals:
## 1 2 3 4 5 6 7
## -0.67125 0.96272 -0.16965 -0.21999 -0.95552 1.04939 0.84715
## 8 9
## -0.09167 -0.96656
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 3.045e+00 1.709e-01 17.815 <2e-16 ***
## outcome2 -4.543e-01 2.022e-01 -2.247 0.0246 *
## outcome3 -2.930e-01 1.927e-01 -1.520 0.1285
## treatment2 1.338e-15 2.000e-01 0.000 1.0000
## treatment3 1.421e-15 2.000e-01 0.000 1.0000
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for poisson family taken to be 1)
##
## Null deviance: 10.5814 on 8 degrees of freedom
## Residual deviance: 5.1291 on 4 degrees of freedom
## AIC: 56.761
##
## Number of Fisher Scoring iterations: 4
The function’s arguments can be accessed via args()
.
args(glm)
## function (formula, family = gaussian, data, weights, subset,
## na.action, start = NULL, etastart, mustart, offset, control = list(...),
## model = TRUE, method = "glm.fit", x = FALSE, y = TRUE, singular.ok = TRUE,
## contrasts = NULL, ...)
## NULL
How do we arrange for data to be made available in the R workspace?
We can either use built-in datasets, or we can load data from external sources.
# uncomment to list datasets in the datasets package
# data()
# uncomment to list datasets in all available packages
# data(package = .packages(all.available = TRUE))
Let’s take a look at three datasets:
swiss
head(swiss,6)
# uncomment for the corresponding help file
# ?swiss
volcano
## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13]
## [1,] 100 100 101 101 101 101 101 100 100 100 101 101 102
## [2,] 101 101 102 102 102 102 102 101 101 101 102 102 103
## [3,] 102 102 103 103 103 103 103 102 102 102 103 103 104
## [4,] 103 103 104 104 104 104 104 103 103 103 103 104 104
## [5,] 104 104 105 105 105 105 105 104 104 103 104 104 105
## [6,] 105 105 105 106 106 106 106 105 105 104 104 105 105
## [7,] 105 106 106 107 107 107 107 106 106 105 105 106 106
## [8,] 106 107 107 108 108 108 108 107 107 106 106 107 108
## [9,] 107 108 108 109 109 109 109 108 108 107 108 108 110
## [10,] 108 109 109 110 110 110 110 109 109 108 110 110 113
## [11,] 109 110 110 111 111 111 111 110 110 110 112 114 118
## [12,] 110 110 111 113 112 111 113 112 112 114 116 119 121
## [13,] 110 111 113 115 114 113 114 114 115 117 119 121 124
## [14,] 111 113 115 117 116 115 116 117 117 119 121 124 126
## [15,] 114 115 117 117 117 118 119 119 120 121 124 126 128
## [16,] 116 118 118 118 120 121 121 122 122 123 125 128 130
## [17,] 118 120 120 121 122 123 124 124 125 126 127 129 132
## [18,] 120 121 122 123 124 125 126 127 127 128 130 132 134
## [19,] 120 122 125 126 126 127 128 129 130 130 132 134 136
## [20,] 121 124 126 128 129 129 130 131 132 133 135 137 139
## [21,] 122 125 127 130 130 131 133 134 135 136 137 140 143
## [22,] 122 125 128 130 132 133 135 136 137 139 140 143 147
## [23,] 123 126 129 131 133 135 137 138 139 141 143 147 150
## [24,] 124 127 130 132 135 137 138 140 142 144 147 149 154
## [25,] 123 128 131 133 136 138 140 142 144 146 149 151 154
## [26,] 123 127 131 134 136 138 140 142 144 147 149 151 154
## [27,] 120 124 128 131 134 137 139 142 144 146 149 151 153
## [28,] 118 121 125 129 132 134 137 140 142 145 147 149 151
## [29,] 117 120 121 125 129 132 135 138 140 143 145 147 149
## [30,] 115 118 120 122 126 130 133 136 138 141 143 145 148
## [31,] 114 116 118 120 122 127 131 133 136 138 141 143 146
## [32,] 115 114 116 118 120 122 127 129 132 136 139 141 143
## [33,] 113 113 114 116 118 120 122 125 129 133 136 138 141
## [34,] 111 112 113 114 116 118 120 122 126 130 133 136 139
## [35,] 110 112 113 113 114 116 118 120 123 127 131 134 137
## [36,] 109 110 111 112 114 116 118 119 120 124 128 131 136
## [37,] 108 109 111 112 114 116 117 118 120 121 125 128 132
## [38,] 108 109 111 113 114 116 117 118 119 120 122 126 130
## [39,] 107 108 111 112 114 115 116 117 119 120 121 124 128
## [40,] 107 108 110 112 113 113 115 116 118 120 122 125 128
## [41,] 107 108 109 111 113 114 116 117 119 120 122 125 128
## [42,] 108 109 110 112 114 115 116 117 119 120 122 126 129
## [43,] 109 110 111 113 115 116 117 118 120 121 123 126 129
## [44,] 110 111 112 113 116 117 118 119 120 122 125 127 130
## [45,] 111 112 113 114 116 117 118 119 120 123 125 128 130
## [46,] 111 112 113 115 117 118 118 120 121 124 126 128 131
## [47,] 112 113 114 116 117 118 119 120 122 124 127 129 132
## [48,] 113 114 115 116 117 119 119 120 122 125 127 129 132
## [49,] 113 114 115 117 118 119 120 121 123 125 127 130 132
## [50,] 114 115 116 117 118 119 120 121 123 126 128 130 133
## [51,] 115 116 117 118 119 120 121 121 123 126 128 131 134
## [52,] 115 116 117 118 119 120 121 122 123 125 128 131 134
## [53,] 114 115 116 116 118 119 120 121 122 126 129 132 135
## [54,] 113 114 115 116 117 118 119 120 123 126 129 132 135
## [55,] 112 113 114 115 116 117 119 120 122 126 130 133 136
## [56,] 111 112 114 115 116 117 118 120 122 125 131 134 137
## [57,] 111 112 113 115 115 116 117 119 121 126 131 135 138
## [58,] 112 113 113 114 115 116 117 119 122 127 132 135 139
## [59,] 112 113 114 114 116 117 118 120 122 128 132 136 139
## [60,] 112 114 114 115 116 117 119 120 122 128 133 136 140
## [61,] 113 114 115 116 116 117 118 120 123 129 133 137 140
## [62,] 114 115 115 116 117 118 118 120 123 129 133 137 140
## [63,] 114 115 116 117 117 119 118 120 123 128 132 136 139
## [64,] 115 116 116 117 118 119 119 120 124 128 132 136 139
## [65,] 115 116 117 118 118 119 120 123 125 128 131 135 138
## [66,] 116 117 118 118 119 120 122 123 125 128 131 134 137
## [67,] 116 117 118 119 120 121 123 124 126 128 130 133 137
## [68,] 117 118 119 119 120 121 123 124 126 128 129 131 135
## [69,] 117 118 119 120 120 121 123 124 125 126 128 129 132
## [70,] 116 117 118 120 120 121 122 123 124 125 126 128 130
## [71,] 114 115 116 117 119 119 120 121 122 123 125 127 129
## [72,] 112 113 114 115 116 116 117 119 120 122 124 126 127
## [73,] 109 111 112 112 113 113 113 114 116 119 121 123 124
## [74,] 106 107 108 108 109 110 110 112 113 114 117 119 120
## [75,] 104 105 105 106 106 107 108 108 109 109 111 115 116
## [76,] 102 103 103 104 104 105 106 106 107 108 109 111 112
## [77,] 101 102 103 103 104 105 105 106 106 107 108 109 109
## [78,] 100 101 102 102 103 103 104 104 105 106 106 107 106
## [79,] 100 101 101 102 102 103 103 104 104 105 105 105 105
## [80,] 99 100 101 102 102 103 103 103 104 104 104 104 103
## [81,] 99 100 100 101 101 102 102 102 103 103 103 103 102
## [82,] 99 100 100 100 101 101 101 102 102 103 102 102 101
## [83,] 99 99 99 99 100 100 101 101 102 102 101 101 101
## [84,] 98 99 99 99 99 100 100 101 101 102 101 100 100
## [85,] 98 98 98 99 99 99 100 100 101 101 100 100 99
## [86,] 97 98 98 98 99 99 99 100 100 100 100 100 99
## [87,] 97 97 97 98 98 99 99 99 100 100 100 99 99
## [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24]
## [1,] 102 102 102 103 104 103 102 101 101 102 103
## [2,] 103 103 103 104 105 104 103 102 102 103 105
## [3,] 104 104 104 105 106 105 104 104 105 106 107
## [4,] 104 105 105 106 107 106 106 106 107 108 110
## [5,] 105 105 106 107 108 108 108 109 110 112 114
## [6,] 106 106 107 109 110 110 112 113 115 116 118
## [7,] 107 108 109 111 113 114 116 118 120 121 122
## [8,] 108 110 113 115 117 118 120 122 124 125 127
## [9,] 111 113 116 118 120 123 125 127 129 130 132
## [10,] 116 118 120 122 125 127 129 133 136 138 140
## [11,] 121 123 125 127 129 133 137 141 143 145 146
## [12,] 124 127 129 133 138 143 146 149 149 151 153
## [13,] 126 129 133 140 145 150 154 155 155 157 159
## [14,] 128 132 137 143 151 156 161 161 162 163 165
## [15,] 131 137 143 150 156 160 163 165 168 170 171
## [16,] 134 141 147 152 156 160 165 168 170 174 176
## [17,] 135 142 149 153 157 161 166 170 174 178 180
## [18,] 137 142 151 155 158 162 169 172 176 181 183
## [19,] 139 145 152 157 160 167 172 175 178 181 185
## [20,] 143 150 154 159 164 170 173 176 179 184 186
## [21,] 147 154 158 162 166 171 174 177 181 186 189
## [22,] 152 157 161 164 168 172 175 179 182 186 190
## [23,] 156 161 164 167 170 173 177 181 184 187 188
## [24,] 157 161 165 168 171 175 178 181 184 186 187
## [25,] 157 160 164 168 172 175 178 181 183 184 184
## [26,] 157 160 164 168 171 174 178 180 181 181 182
## [27,] 156 160 163 167 171 174 178 180 180 180 180
## [28,] 155 159 163 166 169 173 177 179 180 180 180
## [29,] 153 157 160 163 166 171 174 177 179 180 180
## [30,] 151 154 157 160 163 168 171 174 177 179 179
## [31,] 148 151 154 157 160 164 168 171 174 178 178
## [32,] 146 148 151 153 156 160 164 167 172 174 176
## [33,] 143 146 149 150 153 156 160 165 170 173 176
## [34,] 142 145 147 148 151 155 158 163 168 173 176
## [35,] 141 143 145 148 150 154 157 161 166 171 176
## [36,] 140 142 145 147 150 153 157 160 165 170 174
## [37,] 138 142 144 147 149 153 156 160 164 170 174
## [38,] 135 139 143 147 149 152 156 160 164 169 173
## [39,] 133 137 141 145 149 152 156 160 164 168 172
## [40,] 132 136 140 145 148 150 155 160 164 167 170
## [41,] 132 137 141 144 146 149 152 157 162 166 168
## [42,] 133 137 141 143 146 148 151 155 160 164 167
## [43,] 133 138 141 143 146 148 150 155 159 163 165
## [44,] 133 138 141 143 146 148 150 154 159 162 163
## [45,] 134 139 141 144 146 148 151 154 158 161 164
## [46,] 135 139 142 144 146 148 151 155 160 164 165
## [47,] 135 139 142 144 146 149 152 157 162 167 169
## [48,] 135 139 142 144 147 149 154 159 164 169 170
## [49,] 135 139 142 145 148 150 156 161 166 170 170
## [50,] 136 139 142 145 148 152 157 161 166 168 170
## [51,] 136 139 142 145 149 152 157 161 163 164 166
## [52,] 137 139 142 145 149 152 156 159 159 160 162
## [53,] 137 140 143 146 149 152 155 156 157 158 159
## [54,] 138 140 143 146 148 151 153 154 156 157 157
## [55,] 138 141 143 146 148 150 152 154 155 155 155
## [56,] 139 142 144 146 148 150 152 153 153 153 153
## [57,] 140 142 144 146 148 150 151 151 151 151 151
## [58,] 141 143 145 147 149 150 150 150 150 150 150
## [59,] 141 144 146 147 149 150 150 150 150 150 150
## [60,] 142 144 146 148 150 150 150 150 150 150 150
## [61,] 142 144 146 149 150 150 150 150 150 150 150
## [62,] 143 145 147 150 150 150 150 150 150 150 150
## [63,] 142 145 148 150 150 150 150 150 150 150 150
## [64,] 142 145 148 150 150 150 150 150 150 150 150
## [65,] 141 145 148 150 150 150 150 150 150 150 150
## [66,] 141 145 148 149 150 150 150 150 150 150 150
## [67,] 140 144 145 147 148 149 150 149 149 147 146
## [68,] 139 142 143 145 146 147 147 147 146 144 142
## [69,] 137 140 142 143 143 144 144 144 143 141 139
## [70,] 134 139 140 141 141 141 141 141 140 138 136
## [71,] 133 136 134 134 136 138 138 137 137 135 133
## [72,] 129 129 128 127 129 132 133 133 133 133 131
## [73,] 125 124 123 123 123 125 127 129 129 128 128
## [74,] 121 119 117 117 117 118 120 123 124 125 125
## [75,] 114 113 112 111 110 111 113 116 119 122 122
## [76,] 110 109 108 108 108 108 109 110 112 116 117
## [77,] 107 106 106 105 105 105 106 107 108 109 110
## [78,] 106 106 105 105 104 103 103 104 105 107 108
## [79,] 106 105 105 104 103 102 101 102 103 104 106
## [80,] 104 104 104 104 102 101 101 102 103 104 105
## [81,] 103 103 104 103 102 101 101 101 102 103 104
## [82,] 102 102 103 103 101 101 100 101 101 102 103
## [83,] 101 101 102 102 101 100 100 101 101 101 103
## [84,] 100 101 101 101 100 100 100 100 101 101 101
## [85,] 99 100 100 100 100 100 100 100 101 101 101
## [86,] 99 99 100 100 100 100 100 100 100 101 101
## [87,] 99 99 99 100 100 100 100 100 100 101 101
## [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35]
## [1,] 104 104 105 107 107 107 108 108 110 110 110
## [2,] 106 106 107 109 110 110 110 110 111 112 113
## [3,] 108 110 111 113 114 115 114 115 116 118 119
## [4,] 111 114 117 118 117 119 120 121 122 124 125
## [5,] 115 118 121 122 121 123 128 131 129 130 131
## [6,] 119 121 124 126 126 129 134 137 137 136 136
## [7,] 123 125 127 129 130 135 140 142 142 142 141
## [8,] 128 129 131 134 135 141 146 147 146 146 145
## [9,] 134 135 137 139 142 146 152 152 151 151 150
## [10,] 141 142 148 150 151 156 158 159 158 157 158
## [11,] 148 150 154 156 159 161 162 163 164 163 164
## [12,] 154 157 159 160 163 165 166 167 168 168 168
## [13,] 161 162 164 165 167 168 169 170 172 174 172
## [14,] 166 167 168 170 171 173 175 177 179 178 177
## [15,] 172 173 174 175 177 179 180 182 183 183 183
## [16,] 179 180 181 181 182 182 183 184 186 187 187
## [17,] 182 183 184 184 185 186 186 187 189 189 189
## [18,] 184 186 187 188 189 189 189 189 190 190 191
## [19,] 186 188 190 191 192 193 193 192 192 191 192
## [20,] 189 190 191 192 193 194 195 194 193 192 191
## [21,] 190 190 191 192 191 191 190 189 188 189 190
## [22,] 190 190 190 189 187 184 184 183 182 182 183
## [23,] 190 189 187 185 183 179 176 174 174 174 174
## [24,] 187 184 184 181 179 175 171 169 168 168 168
## [25,] 185 183 180 177 174 170 167 165 164 164 164
## [26,] 183 181 178 173 169 166 163 161 161 160 160
## [27,] 180 180 175 171 167 162 160 158 157 157 157
## [28,] 180 179 174 169 166 161 158 156 154 153 153
## [29,] 180 179 172 168 164 160 157 154 151 149 150
## [30,] 179 176 171 167 164 160 156 153 149 148 149
## [31,] 179 177 173 169 165 161 157 154 151 149 150
## [32,] 177 176 173 170 166 162 159 157 154 153 154
## [33,] 176 176 173 172 169 165 163 160 158 157 158
## [34,] 177 177 176 174 171 169 166 164 161 161 162
## [35,] 178 178 178 176 174 172 170 167 167 167 166
## [36,] 178 179 179 178 178 176 174 171 170 170 170
## [37,] 178 180 180 179 179 178 176 172 170 170 170
## [38,] 177 180 180 180 180 179 178 174 170 170 168
## [39,] 176 179 180 180 180 179 178 174 170 168 166
## [40,] 174 177 179 179 178 176 176 173 169 166 164
## [41,] 171 173 175 175 173 172 172 171 168 165 162
## [42,] 168 169 170 170 169 168 167 168 166 163 160
## [43,] 166 167 168 168 166 165 164 161 160 159 158
## [44,] 164 166 166 166 165 163 161 159 157 156 155
## [45,] 166 167 168 166 165 163 161 158 156 154 152
## [46,] 168 169 169 168 166 163 160 158 156 153 151
## [47,] 170 170 170 168 165 163 161 159 157 155 151
## [48,] 170 170 170 170 168 165 163 161 158 155 151
## [49,] 170 170 170 170 169 166 163 161 159 155 151
## [50,] 170 170 170 168 166 164 163 160 159 155 151
## [51,] 168 167 166 164 163 161 160 158 156 152 149
## [52,] 162 161 161 160 159 158 157 155 153 150 148
## [53,] 159 159 158 158 157 155 153 151 150 149 147
## [54,] 157 157 156 155 154 152 150 149 148 147 146
## [55,] 155 155 154 152 152 150 148 147 146 145 145
## [56,] 153 153 153 151 149 147 146 144 144 143 143
## [57,] 151 151 151 150 148 146 144 142 141 141 142
## [58,] 150 150 150 149 147 144 142 141 140 140 140
## [59,] 150 150 150 149 146 143 141 140 140 139 139
## [60,] 150 150 150 148 145 142 140 138 138 138 137
## [61,] 150 150 150 147 143 141 139 137 136 136 135
## [62,] 150 150 148 145 142 139 138 136 135 134 134
## [63,] 150 150 147 144 141 139 136 135 134 133 132
## [64,] 150 149 146 143 140 138 135 134 133 131 131
## [65,] 150 147 145 142 139 137 134 132 131 130 129
## [66,] 148 145 143 141 138 135 133 130 129 128 127
## [67,] 144 141 139 136 133 131 129 128 127 126 125
## [68,] 140 138 135 133 130 128 127 126 125 124 123
## [69,] 137 135 133 130 128 127 126 125 123 122 121
## [70,] 134 133 131 129 127 125 124 123 122 120 119
## [71,] 132 130 129 127 125 124 122 121 120 119 117
## [72,] 129 127 126 125 124 122 121 119 118 117 116
## [73,] 127 125 124 123 122 121 119 118 117 116 114
## [74,] 125 123 121 120 120 119 118 117 116 115 114
## [75,] 122 121 120 119 118 118 117 116 115 114 113
## [76,] 117 118 118 118 117 116 116 115 114 113 112
## [77,] 111 113 114 115 115 115 114 113 112 111 110
## [78,] 110 111 111 112 112 113 113 112 111 110 108
## [79,] 107 110 111 111 111 112 112 112 110 107 107
## [80,] 107 110 111 111 111 111 111 111 108 106 105
## [81,] 106 109 110 111 111 111 110 110 107 105 103
## [82,] 105 109 110 110 111 110 110 109 106 105 100
## [83,] 104 107 109 109 110 110 109 108 105 102 100
## [84,] 103 106 107 109 109 109 109 107 104 101 100
## [85,] 102 105 106 109 108 109 107 105 102 100 100
## [86,] 101 103 104 105 106 105 104 101 100 100 99
## [87,] 100 100 100 100 100 100 100 100 100 100 99
## [,36] [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46]
## [1,] 110 110 110 110 110 108 108 108 107 107 108
## [2,] 114 116 115 114 112 110 110 110 109 108 109
## [3,] 119 121 121 120 118 116 114 112 111 110 110
## [4,] 126 127 127 126 124 122 120 117 116 113 111
## [5,] 131 132 132 131 130 128 126 122 119 115 114
## [6,] 135 136 136 136 135 133 129 126 122 118 116
## [7,] 140 140 140 140 139 137 134 129 125 121 118
## [8,] 144 144 144 143 142 141 139 135 130 126 122
## [9,] 149 148 148 146 145 143 142 139 135 131 127
## [10,] 158 154 151 149 148 146 144 141 137 134 130
## [11,] 164 160 157 154 151 149 146 144 140 137 133
## [12,] 168 166 162 159 157 154 152 149 144 140 136
## [13,] 172 171 169 166 163 161 158 153 148 143 140
## [14,] 176 176 174 171 169 165 161 156 152 148 144
## [15,] 183 180 178 177 172 168 164 160 156 152 148
## [16,] 184 184 181 180 176 172 168 165 161 157 153
## [17,] 189 189 186 182 179 175 171 168 165 162 157
## [18,] 190 190 188 186 183 180 175 171 168 165 161
## [19,] 191 191 190 190 187 184 181 177 172 169 165
## [20,] 191 191 191 190 190 188 184 181 177 173 169
## [21,] 190 191 190 190 190 189 186 184 181 177 173
## [22,] 183 183 184 185 186 187 186 185 184 181 177
## [23,] 174 176 177 179 180 182 183 182 181 181 180
## [24,] 169 170 172 174 177 178 179 180 181 181 180
## [25,] 165 166 168 171 175 176 178 180 181 180 180
## [26,] 161 163 165 168 173 176 178 179 180 181 180
## [27,] 158 159 162 166 170 175 177 178 180 181 181
## [28,] 154 156 159 163 169 173 175 178 180 181 180
## [29,] 150 154 158 164 169 174 178 180 180 180 180
## [30,] 151 155 158 163 170 173 177 179 180 180 180
## [31,] 152 155 159 166 171 175 177 179 180 180 179
## [32,] 155 158 161 169 172 174 176 178 178 178 178
## [33,] 159 161 166 170 170 173 175 176 178 176 173
## [34,] 164 165 167 170 170 171 173 173 173 170 168
## [35,] 168 170 169 168 167 168 168 168 168 167 165
## [36,] 168 167 166 164 163 161 162 163 163 163 161
## [37,] 168 166 164 162 160 157 156 157 158 158 156
## [38,] 167 165 163 161 157 154 153 152 152 152 149
## [39,] 165 163 161 158 154 150 149 148 146 145 143
## [40,] 163 161 159 155 152 148 145 143 141 140 139
## [41,] 160 158 156 153 149 145 142 139 138 137 136
## [42,] 158 155 153 150 147 143 140 137 136 134 133
## [43,] 155 152 149 147 144 141 138 135 134 132 130
## [44,] 153 150 146 143 140 138 136 133 132 130 129
## [45,] 150 146 142 139 137 135 133 131 130 129 128
## [46,] 148 145 142 139 137 135 132 130 129 127 126
## [47,] 148 145 141 139 136 134 132 130 128 127 126
## [48,] 148 145 142 139 137 135 132 131 128 126 125
## [49,] 148 146 143 140 138 135 134 132 130 127 125
## [50,] 148 146 143 141 138 136 134 132 130 128 125
## [51,] 147 144 143 141 139 136 134 132 130 128 125
## [52,] 146 145 143 142 140 137 134 131 129 126 124
## [53,] 146 145 144 142 141 138 135 132 128 125 122
## [54,] 145 144 142 141 140 139 136 132 129 125 121
## [55,] 143 142 141 140 140 140 137 133 129 125 120
## [56,] 142 141 140 140 140 140 138 134 130 123 120
## [57,] 141 140 140 140 140 140 140 136 132 126 120
## [58,] 140 140 140 140 140 140 140 137 133 128 120
## [59,] 139 140 140 140 140 140 140 137 133 129 121
## [60,] 138 140 140 140 140 140 140 137 134 130 122
## [61,] 136 138 140 140 140 140 139 136 134 130 123
## [62,] 134 136 138 137 138 139 137 134 132 125 122
## [63,] 132 134 134 134 134 135 133 131 128 124 120
## [64,] 131 131 131 131 131 130 127 124 122 119 117
## [65,] 128 128 128 128 128 126 123 121 119 116 114
## [66,] 126 125 125 125 124 123 120 118 116 114 111
## [67,] 124 123 123 122 121 120 118 116 114 112 108
## [68,] 122 121 120 119 118 117 115 114 112 110 106
## [69,] 120 119 117 116 115 114 112 111 108 107 105
## [70,] 118 117 116 114 112 111 108 109 106 106 100
## [71,] 116 115 114 112 110 109 108 107 105 105 100
## [72,] 114 113 112 110 109 108 106 106 105 100 100
## [73,] 113 112 110 109 108 107 106 105 100 100 100
## [74,] 113 111 109 109 107 106 105 100 100 100 96
## [75,] 112 111 108 108 106 105 100 100 100 96 96
## [76,] 111 110 107 107 105 100 100 100 97 96 96
## [77,] 108 108 106 105 100 100 100 97 97 96 96
## [78,] 107 106 105 100 100 100 98 97 97 96 96
## [79,] 106 105 102 100 100 99 98 97 97 96 96
## [80,] 105 102 101 100 99 99 98 97 97 96 96
## [81,] 104 100 100 99 99 98 98 97 97 96 96
## [82,] 102 100 99 99 99 98 98 97 97 96 96
## [83,] 100 99 99 99 98 98 98 97 96 96 96
## [84,] 99 99 99 98 98 98 97 96 96 96 96
## [85,] 99 99 98 98 98 97 96 96 96 96 95
## [86,] 99 98 98 97 97 97 96 96 96 95 95
## [87,] 99 98 97 97 97 96 96 96 95 95 95
## [,47] [,48] [,49] [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57]
## [1,] 108 108 108 108 107 107 107 107 106 106 105
## [2,] 109 109 109 108 108 108 108 107 107 106 106
## [3,] 110 110 109 109 109 109 108 108 107 107 106
## [4,] 110 110 110 109 109 109 109 108 108 107 107
## [5,] 112 110 110 110 110 110 109 109 108 107 107
## [6,] 115 113 111 110 110 110 110 109 108 108 108
## [7,] 116 114 112 110 110 110 111 110 109 109 108
## [8,] 118 116 114 112 112 113 112 110 110 109 109
## [9,] 122 119 117 115 115 115 114 112 110 110 109
## [10,] 125 122 120 118 117 117 115 113 111 110 110
## [11,] 129 126 124 121 119 118 116 114 112 111 110
## [12,] 133 131 128 125 122 119 117 115 113 111 110
## [13,] 137 134 131 128 125 120 118 116 114 112 110
## [14,] 140 138 135 131 127 123 119 117 115 113 111
## [15,] 144 141 138 134 130 126 121 117 114 112 110
## [16,] 149 145 142 138 133 129 125 120 115 111 110
## [17,] 152 149 145 141 137 131 125 120 116 111 110
## [18,] 157 152 149 145 141 134 127 121 116 112 110
## [19,] 161 156 152 147 143 139 131 123 119 115 111
## [20,] 165 160 155 149 145 142 136 129 123 118 114
## [21,] 169 164 158 152 148 144 140 134 125 118 115
## [22,] 173 169 163 157 149 145 141 136 130 119 116
## [23,] 176 171 166 160 152 147 142 138 133 126 121
## [24,] 179 174 167 161 155 148 144 139 134 128 121
## [25,] 179 177 170 163 157 150 144 139 134 128 121
## [26,] 180 175 173 166 159 152 145 139 134 127 121
## [27,] 180 178 175 169 160 154 148 140 134 128 121
## [28,] 180 179 175 170 160 154 149 142 135 128 122
## [29,] 178 177 175 170 161 153 148 142 135 129 123
## [30,] 178 175 173 171 162 154 147 141 136 130 124
## [31,] 176 174 171 168 159 151 146 141 135 129 124
## [32,] 175 172 169 162 156 149 144 140 134 128 123
## [33,] 171 168 164 158 153 146 140 137 132 127 121
## [34,] 165 163 160 155 149 143 138 134 130 125 119
## [35,] 163 160 156 152 146 140 136 131 128 122 118
## [36,] 160 157 153 148 142 136 130 127 124 120 117
## [37,] 153 151 149 144 139 130 127 124 121 118 115
## [38,] 148 147 144 140 134 128 125 122 119 117 114
## [39,] 143 143 140 136 130 126 123 120 118 115 112
## [40,] 139 138 136 132 128 124 121 118 116 114 111
## [41,] 135 133 131 129 126 122 119 117 114 112 110
## [42,] 132 130 129 127 125 121 118 115 112 110 110
## [43,] 129 128 126 124 122 120 117 113 111 110 110
## [44,] 128 125 124 122 120 119 117 114 111 110 110
## [45,] 127 125 123 121 120 118 116 113 111 110 110
## [46,] 125 124 123 120 120 117 116 114 112 110 110
## [47,] 124 123 122 120 119 117 116 114 112 111 109
## [48,] 124 122 121 120 119 117 115 113 111 110 109
## [49,] 123 121 120 120 119 116 114 112 110 110 108
## [50,] 123 121 120 120 118 116 113 111 110 110 109
## [51,] 122 120 120 119 117 115 113 110 110 109 107
## [52,] 122 120 119 117 115 113 111 110 109 109 107
## [53,] 120 118 117 115 113 112 110 109 108 108 106
## [54,] 118 116 115 113 111 110 109 108 108 107 106
## [55,] 117 115 111 110 110 109 108 107 107 106 105
## [56,] 118 111 110 110 110 108 107 106 108 105 105
## [57,] 115 110 110 110 109 107 106 105 107 105 104
## [58,] 117 110 110 110 108 106 105 105 106 105 104
## [59,] 118 110 110 109 107 106 105 105 105 104 104
## [60,] 118 110 110 108 106 105 103 104 104 104 104
## [61,] 119 113 109 108 106 104 103 104 104 104 103
## [62,] 117 114 109 107 105 103 102 104 104 103 103
## [63,] 116 113 110 107 104 102 102 103 103 103 102
## [64,] 115 112 109 106 104 101 102 103 103 102 102
## [65,] 112 110 108 105 103 101 103 103 103 102 102
## [66,] 109 107 106 104 102 100 101 101 102 102 101
## [67,] 107 105 103 102 100 100 100 100 101 101 100
## [68,] 105 102 101 100 100 100 100 100 100 100 100
## [69,] 100 100 100 100 100 100 100 99 99 99 99
## [70,] 100 100 100 100 99 99 99 99 99 99 99
## [71,] 100 100 100 99 99 99 98 98 98 98 98
## [72,] 100 98 98 98 98 98 98 97 97 97 97
## [73,] 97 97 97 97 97 97 97 96 96 96 96
## [74,] 96 96 96 96 96 96 96 96 96 96 96
## [75,] 96 96 96 96 96 96 96 96 96 96 96
## [76,] 96 96 96 96 96 96 96 96 96 96 96
## [77,] 96 96 96 96 96 96 96 96 96 96 96
## [78,] 96 96 96 96 96 96 96 96 96 96 96
## [79,] 96 96 96 96 96 96 96 96 96 96 96
## [80,] 96 96 96 96 96 96 96 96 96 96 96
## [81,] 96 96 96 96 96 96 96 96 95 95 95
## [82,] 96 96 96 96 95 95 95 95 95 95 95
## [83,] 96 96 95 95 95 95 95 95 95 94 94
## [84,] 95 95 95 95 95 95 95 94 94 94 94
## [85,] 95 95 95 95 95 94 94 94 94 94 94
## [86,] 95 95 95 94 94 94 94 94 94 94 94
## [87,] 95 94 94 94 94 94 94 94 94 94 94
## [,58] [,59] [,60] [,61]
## [1,] 105 104 104 103
## [2,] 105 105 104 104
## [3,] 106 105 105 104
## [4,] 106 106 105 105
## [5,] 107 106 106 105
## [6,] 107 107 106 106
## [7,] 108 107 107 106
## [8,] 108 108 107 106
## [9,] 109 108 107 107
## [10,] 109 108 107 107
## [11,] 109 108 107 106
## [12,] 109 108 107 106
## [13,] 109 108 107 105
## [14,] 110 108 106 105
## [15,] 110 108 106 104
## [16,] 110 108 106 104
## [17,] 110 108 106 104
## [18,] 110 108 106 104
## [19,] 110 108 106 105
## [20,] 110 108 108 107
## [21,] 111 110 108 107
## [22,] 112 110 108 106
## [23,] 115 110 106 105
## [24,] 115 110 106 105
## [25,] 115 110 108 107
## [26,] 115 110 109 108
## [27,] 115 110 110 109
## [28,] 116 111 110 110
## [29,] 116 113 112 110
## [30,] 117 115 112 110
## [31,] 119 116 113 110
## [32,] 118 115 112 110
## [33,] 117 113 111 110
## [34,] 116 112 110 109
## [35,] 114 110 110 109
## [36,] 113 110 110 109
## [37,] 112 110 110 109
## [38,] 110 110 109 109
## [39,] 110 110 109 109
## [40,] 110 110 109 108
## [41,] 110 109 108 107
## [42,] 110 108 107 107
## [43,] 110 108 107 107
## [44,] 109 108 107 107
## [45,] 109 108 107 106
## [46,] 108 107 106 106
## [47,] 107 106 106 105
## [48,] 106 105 105 104
## [49,] 106 105 104 104
## [50,] 106 105 104 104
## [51,] 106 105 104 104
## [52,] 106 105 104 104
## [53,] 105 105 104 104
## [54,] 105 104 104 104
## [55,] 105 104 104 103
## [56,] 104 104 103 103
## [57,] 104 104 103 103
## [58,] 104 103 103 103
## [59,] 103 103 103 102
## [60,] 103 103 102 102
## [61,] 103 102 102 101
## [62,] 102 102 101 101
## [63,] 102 102 101 100
## [64,] 102 101 100 100
## [65,] 101 100 100 100
## [66,] 100 100 100 100
## [67,] 100 100 100 100
## [68,] 99 99 99 99
## [69,] 99 99 99 98
## [70,] 98 98 98 97
## [71,] 97 97 97 97
## [72,] 97 97 97 96
## [73,] 96 96 96 96
## [74,] 96 96 96 96
## [75,] 96 96 96 96
## [76,] 96 96 96 96
## [77,] 96 96 96 96
## [78,] 96 96 96 96
## [79,] 96 96 96 95
## [80,] 96 96 95 95
## [81,] 95 95 95 95
## [82,] 95 95 95 94
## [83,] 94 94 94 94
## [84,] 94 94 94 94
## [85,] 94 94 94 94
## [86,] 94 94 94 94
## [87,] 94 94 94 94
# uncomment for the corresponding help file
# ?volcano
InsectSprays
# uncomment for the corresponding help file
# ?InsectSprays
Data <- read.csv("path_name/file_name", header=TRUE, sep=",")
#CSV fileData <- read.table("path_name/file_name", sep="\t", header=TRUE)
#tab separatedData <- read.table(file = "clipboard", sep="\t", header=TRUE)
#clipboardData <- read.csv("http://dns/path_name/file")
#web# Read in the file car.csv found in the folder 'Data' and save to: car.data
car.data <- read.csv("Data/car.csv", header=TRUE, sep=",")
head(car.data,6)
# uncomment to try to get access to the help file
# ?car.data
So what can we actually do with R?
# creating a vector of a sequence of numbers
1:3
## [1] 1 2 3
# assigning this vector to a variable
x <- 1:3
# displaying the vector
x
## [1] 1 2 3
# another assignment
y = 4:6
# another way to display, for another assignment
(z = 7:9)
## [1] 7 8 9
# assignment of non-sequential numbers
(w <- c(12,-9))
## [1] 12 -9
# assignment of mixed objects
(v = c(w,"pamplemousse"))
## [1] "12" "-9" "pamplemousse"
(u = t(matrix(1:10,ncol=5))) # assignment of a matrix
## [,1] [,2]
## [1,] 1 2
## [2,] 3 4
## [3,] 5 6
## [4,] 7 8
## [5,] 9 10
# test if an object is of a certain type - I
is.numeric(x)
## [1] TRUE
is.character(x)
## [1] FALSE
is.vector(x)
## [1] TRUE
is.matrix(x)
## [1] FALSE
is.data.frame(x)
## [1] FALSE
# test if an object is of a certain type - II
is.character(w)
## [1] FALSE
is.character(v)
## [1] TRUE
is.data.frame(swiss)
## [1] TRUE
# set an object as a specific type
as.numeric(x)
## [1] 1 2 3
as.character(x)
## [1] "1" "2" "3"
as.vector(x)
## [1] 1 2 3
as.matrix(x)
## [,1]
## [1,] 1
## [2,] 2
## [3,] 3
as.data.frame(x)
# combine vectors into single vector
c(y,z)
## [1] 4 5 6 7 8 9
# convert vectors to matrix
cbind(x,y)
## x y
## [1,] 1 4
## [2,] 2 5
## [3,] 3 6
rbind(x,y)
## [,1] [,2] [,3]
## x 1 2 3
## y 4 5 6
# convert vectors to data.frame
data.frame(x,y)
# convert matrix to vector
as.vector(u)
## [1] 1 3 5 7 9 2 4 6 8 10
# convert matrix to data frame
as.data.frame(u)
# convert data frame to matrix
(swiss_matrix=as.matrix(swiss))
## Fertility Agriculture Examination Education Catholic
## Courtelary 80.2 17.0 15 12 9.96
## Delemont 83.1 45.1 6 9 84.84
## Franches-Mnt 92.5 39.7 5 5 93.40
## Moutier 85.8 36.5 12 7 33.77
## Neuveville 76.9 43.5 17 15 5.16
## Porrentruy 76.1 35.3 9 7 90.57
## Broye 83.8 70.2 16 7 92.85
## Glane 92.4 67.8 14 8 97.16
## Gruyere 82.4 53.3 12 7 97.67
## Sarine 82.9 45.2 16 13 91.38
## Veveyse 87.1 64.5 14 6 98.61
## Aigle 64.1 62.0 21 12 8.52
## Aubonne 66.9 67.5 14 7 2.27
## Avenches 68.9 60.7 19 12 4.43
## Cossonay 61.7 69.3 22 5 2.82
## Echallens 68.3 72.6 18 2 24.20
## Grandson 71.7 34.0 17 8 3.30
## Lausanne 55.7 19.4 26 28 12.11
## La Vallee 54.3 15.2 31 20 2.15
## Lavaux 65.1 73.0 19 9 2.84
## Morges 65.5 59.8 22 10 5.23
## Moudon 65.0 55.1 14 3 4.52
## Nyone 56.6 50.9 22 12 15.14
## Orbe 57.4 54.1 20 6 4.20
## Oron 72.5 71.2 12 1 2.40
## Payerne 74.2 58.1 14 8 5.23
## Paysd'enhaut 72.0 63.5 6 3 2.56
## Rolle 60.5 60.8 16 10 7.72
## Vevey 58.3 26.8 25 19 18.46
## Yverdon 65.4 49.5 15 8 6.10
## Conthey 75.5 85.9 3 2 99.71
## Entremont 69.3 84.9 7 6 99.68
## Herens 77.3 89.7 5 2 100.00
## Martigwy 70.5 78.2 12 6 98.96
## Monthey 79.4 64.9 7 3 98.22
## St Maurice 65.0 75.9 9 9 99.06
## Sierre 92.2 84.6 3 3 99.46
## Sion 79.3 63.1 13 13 96.83
## Boudry 70.4 38.4 26 12 5.62
## La Chauxdfnd 65.7 7.7 29 11 13.79
## Le Locle 72.7 16.7 22 13 11.22
## Neuchatel 64.4 17.6 35 32 16.92
## Val de Ruz 77.6 37.6 15 7 4.97
## ValdeTravers 67.6 18.7 25 7 8.65
## V. De Geneve 35.0 1.2 37 53 42.34
## Rive Droite 44.7 46.6 16 29 50.43
## Rive Gauche 42.8 27.7 22 29 58.33
## Infant.Mortality
## Courtelary 22.2
## Delemont 22.2
## Franches-Mnt 20.2
## Moutier 20.3
## Neuveville 20.6
## Porrentruy 26.6
## Broye 23.6
## Glane 24.9
## Gruyere 21.0
## Sarine 24.4
## Veveyse 24.5
## Aigle 16.5
## Aubonne 19.1
## Avenches 22.7
## Cossonay 18.7
## Echallens 21.2
## Grandson 20.0
## Lausanne 20.2
## La Vallee 10.8
## Lavaux 20.0
## Morges 18.0
## Moudon 22.4
## Nyone 16.7
## Orbe 15.3
## Oron 21.0
## Payerne 23.8
## Paysd'enhaut 18.0
## Rolle 16.3
## Vevey 20.9
## Yverdon 22.5
## Conthey 15.1
## Entremont 19.8
## Herens 18.3
## Martigwy 19.4
## Monthey 20.2
## St Maurice 17.8
## Sierre 16.3
## Sion 18.1
## Boudry 20.3
## La Chauxdfnd 20.5
## Le Locle 18.9
## Neuchatel 23.0
## Val de Ruz 20.0
## ValdeTravers 19.5
## V. De Geneve 18.0
## Rive Droite 18.2
## Rive Gauche 19.3
What if we’re interested in writing our own functions in R?
The template for all functions is a block of code that looks like:
my.function <- function(arg1,arg2, ..., argn) {
# what my.function does, typically involving the arguments
}
Here are some simple examples:
# Function my.product which computes the product of two arguments x and y
my.product <- function (x,y) {
x*y
}
# call my.product for x=12 and y=-2
my.product(12,-2)
## [1] -24
my.product(x=12,y=-2)
## [1] -24
my.product(y=-2,x=12)
## [1] -24
my.product(-2,12) ## ok, because the product is commutative
## [1] -24
# Function my.ratio which computes the quotient x / y
my.quotient <- function (x,y) {
x/y
}
# call my.quotient for x=12 and y=-2
my.quotient(12,-2)
## [1] -6
my.quotient(x=12,y=-2)
## [1] -6
my.quotient(y=-2,x=12)
## [1] -6
my.quotient(-2,12) ## what's happening here?
## [1] -0.1666667
# call my.quotient for x=12 and y=0
my.quotient(12,0)
## [1] Inf
Let’s take a look at the swiss dataset in detail.
swiss
DATASET # Display the first few entries of the dataset
head(swiss,8) # setting a different number of observations, 10 in this case
# Display the last few entries of the dataset
tail(swiss,6)
# Structure of the dataset
str(swiss)
## 'data.frame': 47 obs. of 6 variables:
## $ Fertility : num 80.2 83.1 92.5 85.8 76.9 76.1 83.8 92.4 82.4 82.9 ...
## $ Agriculture : num 17 45.1 39.7 36.5 43.5 35.3 70.2 67.8 53.3 45.2 ...
## $ Examination : int 15 6 5 12 17 9 16 14 12 16 ...
## $ Education : int 12 9 5 7 15 7 7 8 7 13 ...
## $ Catholic : num 9.96 84.84 93.4 33.77 5.16 ...
## $ Infant.Mortality: num 22.2 22.2 20.2 20.3 20.6 26.6 23.6 24.9 21 24.4 ...
# Display a specific column as a data frame
swiss$Education # extracting a specific colum with the $ operator
## [1] 12 9 5 7 15 7 7 8 7 13 6 12 7 12 5 2 8 28 20 9 10 3 12
## [24] 6 1 8 3 10 19 8 2 6 2 6 3 9 3 13 12 11 13 32 7 7 53 29
## [47] 29
#swiss_matrix$Education # this cannot be done to a matrix
swiss_matrix[,4]
## Courtelary Delemont Franches-Mnt Moutier Neuveville
## 12 9 5 7 15
## Porrentruy Broye Glane Gruyere Sarine
## 7 7 8 7 13
## Veveyse Aigle Aubonne Avenches Cossonay
## 6 12 7 12 5
## Echallens Grandson Lausanne La Vallee Lavaux
## 2 8 28 20 9
## Morges Moudon Nyone Orbe Oron
## 10 3 12 6 1
## Payerne Paysd'enhaut Rolle Vevey Yverdon
## 8 3 10 19 8
## Conthey Entremont Herens Martigwy Monthey
## 2 6 2 6 3
## St Maurice Sierre Sion Boudry La Chauxdfnd
## 9 3 13 12 11
## Le Locle Neuchatel Val de Ruz ValdeTravers V. De Geneve
## 13 32 7 7 53
## Rive Droite Rive Gauche
## 29 29
# Displaying specific entries, rows, and columns using matrix notation
swiss[1,1] # 1st row, 1st column
## [1] 80.2
swiss[1,] # 1st row
swiss[,2] # 2nd column
## [1] 17.0 45.1 39.7 36.5 43.5 35.3 70.2 67.8 53.3 45.2 64.5 62.0 67.5 60.7
## [15] 69.3 72.6 34.0 19.4 15.2 73.0 59.8 55.1 50.9 54.1 71.2 58.1 63.5 60.8
## [29] 26.8 49.5 85.9 84.9 89.7 78.2 64.9 75.9 84.6 63.1 38.4 7.7 16.7 17.6
## [43] 37.6 18.7 1.2 46.6 27.7
swiss[c(2,4),] # 2nd and 4th rows
swiss[,c(2,4)] # 2nd and 4th columns
swiss[,-2] # all rows without the 2nd column
swiss[-3,] # all columns without the 3rd row
# column names
colnames(swiss)
## [1] "Fertility" "Agriculture" "Examination"
## [4] "Education" "Catholic" "Infant.Mortality"
# row names
rownames(swiss)
## [1] "Courtelary" "Delemont" "Franches-Mnt" "Moutier"
## [5] "Neuveville" "Porrentruy" "Broye" "Glane"
## [9] "Gruyere" "Sarine" "Veveyse" "Aigle"
## [13] "Aubonne" "Avenches" "Cossonay" "Echallens"
## [17] "Grandson" "Lausanne" "La Vallee" "Lavaux"
## [21] "Morges" "Moudon" "Nyone" "Orbe"
## [25] "Oron" "Payerne" "Paysd'enhaut" "Rolle"
## [29] "Vevey" "Yverdon" "Conthey" "Entremont"
## [33] "Herens" "Martigwy" "Monthey" "St Maurice"
## [37] "Sierre" "Sion" "Boudry" "La Chauxdfnd"
## [41] "Le Locle" "Neuchatel" "Val de Ruz" "ValdeTravers"
## [45] "V. De Geneve" "Rive Droite" "Rive Gauche"
# structure of the data frame
str(swiss)
## 'data.frame': 47 obs. of 6 variables:
## $ Fertility : num 80.2 83.1 92.5 85.8 76.9 76.1 83.8 92.4 82.4 82.9 ...
## $ Agriculture : num 17 45.1 39.7 36.5 43.5 35.3 70.2 67.8 53.3 45.2 ...
## $ Examination : int 15 6 5 12 17 9 16 14 12 16 ...
## $ Education : int 12 9 5 7 15 7 7 8 7 13 ...
## $ Catholic : num 9.96 84.84 93.4 33.77 5.16 ...
## $ Infant.Mortality: num 22.2 22.2 20.2 20.3 20.6 26.6 23.6 24.9 21 24.4 ...
# summary statistics
summary(swiss) # summary statistics of the data frame (5pt-summary + mean for numeric variables )
## Fertility Agriculture Examination Education
## Min. :35.00 Min. : 1.20 Min. : 3.00 Min. : 1.00
## 1st Qu.:64.70 1st Qu.:35.90 1st Qu.:12.00 1st Qu.: 6.00
## Median :70.40 Median :54.10 Median :16.00 Median : 8.00
## Mean :70.14 Mean :50.66 Mean :16.49 Mean :10.98
## 3rd Qu.:78.45 3rd Qu.:67.65 3rd Qu.:22.00 3rd Qu.:12.00
## Max. :92.50 Max. :89.70 Max. :37.00 Max. :53.00
## Catholic Infant.Mortality
## Min. : 2.150 Min. :10.80
## 1st Qu.: 5.195 1st Qu.:18.15
## Median : 15.140 Median :20.00
## Mean : 41.144 Mean :19.94
## 3rd Qu.: 93.125 3rd Qu.:21.70
## Max. :100.000 Max. :26.60
library(psych)
describe(swiss) # matrix of data fame statistics: n, mean, sd, median, min, max, range, skew, kurtosis, se, + others
cor(swiss) # correlation matrix of the data
## Fertility Agriculture Examination Education Catholic
## Fertility 1.0000000 0.35307918 -0.6458827 -0.66378886 0.4636847
## Agriculture 0.3530792 1.00000000 -0.6865422 -0.63952252 0.4010951
## Examination -0.6458827 -0.68654221 1.0000000 0.69841530 -0.5727418
## Education -0.6637889 -0.63952252 0.6984153 1.00000000 -0.1538589
## Catholic 0.4636847 0.40109505 -0.5727418 -0.15385892 1.0000000
## Infant.Mortality 0.4165560 -0.06085861 -0.1140216 -0.09932185 0.1754959
## Infant.Mortality
## Fertility 0.41655603
## Agriculture -0.06085861
## Examination -0.11402160
## Education -0.09932185
## Catholic 0.17549591
## Infant.Mortality 1.00000000
# Contrast: dataset with categorical variables
summary(InsectSprays) # count for categorical variables
## count spray
## Min. : 0.00 A:12
## 1st Qu.: 3.00 B:12
## Median : 7.00 C:12
## Mean : 9.50 D:12
## 3rd Qu.:14.25 E:12
## Max. :26.00 F:12
table(InsectSprays) # joint empirical distribution ... not really useful here
## spray
## count A B C D E F
## 0 0 0 2 0 0 0
## 1 0 0 4 0 2 0
## 2 0 0 2 1 1 0
## 3 0 0 2 2 4 0
## 4 0 0 1 2 1 0
## 5 0 0 0 5 2 0
## 6 0 0 0 1 2 0
## 7 1 1 1 0 0 0
## 9 0 0 0 0 0 1
## 10 2 0 0 0 0 1
## 11 0 2 0 0 0 1
## 12 1 0 0 1 0 0
## 13 1 1 0 0 0 2
## 14 3 1 0 0 0 0
## 15 0 0 0 0 0 2
## 16 0 1 0 0 0 1
## 17 1 3 0 0 0 0
## 19 0 1 0 0 0 0
## 20 2 0 0 0 0 0
## 21 0 2 0 0 0 0
## 22 0 0 0 0 0 1
## 23 1 0 0 0 0 0
## 24 0 0 0 0 0 1
## 26 0 0 0 0 0 2
str(InsectSprays)
## 'data.frame': 72 obs. of 2 variables:
## $ count: num 10 7 20 14 14 12 10 23 17 20 ...
## $ spray: Factor w/ 6 levels "A","B","C","D",..: 1 1 1 1 1 1 1 1 1 1 ...
describe(InsectSprays) # look at the statistics for the categorical variable
# cor(InsectSprays) # uncomment to see what happens if there are categorical variables
# number of rows/observations
nrow(swiss)
## [1] 47
# summary of a single feature
summary(swiss$Fertility)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 35.00 64.70 70.40 70.14 78.45 92.50
# finding all observations for which a feature takes on a value greater than a threshold
swiss$Fertility>50
## [1] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [12] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [23] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [34] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [45] FALSE FALSE FALSE
#summary of a logical vector
summary(swiss$Fertility>50)
## Mode FALSE TRUE
## logical 3 44
# historical provinces for which Fertility was > 50
swiss[swiss$Fertility>50,]
# number of such historical cantons
nrow(swiss[swiss$Fertility>50,]) # should be at most as large as the number of observations
## [1] 44
# historical provinces data where Fertility is in the top 50%
swiss[swiss$Fertility>median(swiss$Fertility),]
# Fertiliy and Education variables for historical cantons where Fertility is in the top 50%
swiss[swiss$Fertility>median(swiss$Fertility),c(1,4)] # matrix option
swiss[swiss$Fertility>median(swiss$Fertility),c("Fertility","Education")] # data frame call
# historical canton(s) data where Fertility is maximal
swiss[swiss$Fertility == max(swiss$Fertility),]
# find the historical cantons for which the first variable is in the top 50%
swiss$var1 <- swiss[,1]>median(swiss[,1])
# find the historical cantons for which the fourth variable is in the top 50%
swiss$var4 <- swiss[,4]>median(swiss[,4])
# distribution of cantons about the median of the first variable
table(swiss$var1)
##
## FALSE TRUE
## 24 23
# distribution of cantons about the median of the fourth variable
table(swiss$var4)
##
## FALSE TRUE
## 25 22
# what's going on here? rows = first variable, columns = second variable
table(swiss$var1,swiss$var4)
##
## FALSE TRUE
## FALSE 8 16
## TRUE 17 6
NA
values in R
can create some havoc. Be careful!
# create a dataset
# by picking 100 values (with replacement) among the values {1,2,3,4,NA}
test = sample(c(1:4,NA),100, replace=TRUE)
summary(test) # 5pt summary + mean + number of NAs
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 1.000 2.000 2.000 2.347 3.000 4.000 28
mean(test) # mean of test data without removal of the NAs
## [1] NA
# mean of test data with removal of the NAs
mean(test, na.rm=TRUE)
## [1] 2.347222
# median of test data with removal of the NAs
median(test, na.rm=TRUE)
## [1] 2
# minimum of test data with removal of the NAs
min(test, na.rm=TRUE)
## [1] 1
# maximum of test data with removal of the NAs
max(test, na.rm=TRUE)
## [1] 4
# quantiles of test data with removal of the NAs
quantile(test, na.rm=TRUE)
## 0% 25% 50% 75% 100%
## 1 2 2 3 4