LAB1
Pedro Sanchez Sanchez
2026-10-11
LAB 1
Ejercicio 1
Utilizando las funciones citadas en este Laboratorio, comprobad qué paquetes tenéis instalados en vuestra versión de RStudio e instalad el paquete MASS y el paquete Survival y comprobad la información que contienen.
Paquetes instalados
installed.packages()## Package
## abind "abind"
## backports "backports"
## base64enc "base64enc"
## bit "bit"
## bit64 "bit64"
## broom "broom"
## bslib "bslib"
## cachem "cachem"
## car "car"
## carData "carData"
## cellranger "cellranger"
## checkmate "checkmate"
## cli "cli"
## clipr "clipr"
## colorspace "colorspace"
## cowplot "cowplot"
## cpp11 "cpp11"
## crayon "crayon"
## data.table "data.table"
## DBI "DBI"
## Deriv "Deriv"
## digest "digest"
## doBy "doBy"
## dplyr "dplyr"
## e1071 "e1071"
## effects "effects"
## estimability "estimability"
## evaluate "evaluate"
## farver "farver"
## fastmap "fastmap"
## fontawesome "fontawesome"
## forcats "forcats"
## forecast "forecast"
## Formula "Formula"
## fracdiff "fracdiff"
## fs "fs"
## generics "generics"
## ggplot2 "ggplot2"
## glue "glue"
## gridExtra "gridExtra"
## gtable "gtable"
## haven "haven"
## highr "highr"
## Hmisc "Hmisc"
## hms "hms"
## htmlTable "htmlTable"
## htmltools "htmltools"
## htmlwidgets "htmlwidgets"
## insight "insight"
## isoband "isoband"
## jquerylib "jquerylib"
## jsonlite "jsonlite"
## knitr "knitr"
## labeling "labeling"
## lifecycle "lifecycle"
## lme4 "lme4"
## lmtest "lmtest"
## magrittr "magrittr"
## MASS "MASS"
## MatrixModels "MatrixModels"
## memoise "memoise"
## mime "mime"
## minqa "minqa"
## mitools "mitools"
## modelr "modelr"
## nloptr "nloptr"
## nortest "nortest"
## numDeriv "numDeriv"
## pbkrtest "pbkrtest"
## pillar "pillar"
## pkgconfig "pkgconfig"
## prettyunits "prettyunits"
## progress "progress"
## proxy "proxy"
## purrr "purrr"
## quantreg "quantreg"
## R6 "R6"
## rappdirs "rappdirs"
## rbibutils "rbibutils"
## Rcmdr "Rcmdr"
## RcmdrMisc "RcmdrMisc"
## RColorBrewer "RColorBrewer"
## Rcpp "Rcpp"
## RcppArmadillo "RcppArmadillo"
## RcppEigen "RcppEigen"
## Rdpack "Rdpack"
## readr "readr"
## readstata13 "readstata13"
## readxl "readxl"
## reformulas "reformulas"
## relimp "relimp"
## rematch "rematch"
## renv "renv"
## rlang "rlang"
## rmarkdown "rmarkdown"
## rstudioapi "rstudioapi"
## S7 "S7"
## sandwich "sandwich"
## sass "sass"
## scales "scales"
## SparseM "SparseM"
## stringi "stringi"
## stringr "stringr"
## survey "survey"
## survival "survival"
## tcltk2 "tcltk2"
## TeachingDemos "TeachingDemos"
## tibble "tibble"
## tidyr "tidyr"
## tidyselect "tidyselect"
## timeDate "timeDate"
## tinytex "tinytex"
## tzdb "tzdb"
## urca "urca"
## utf8 "utf8"
## vctrs "vctrs"
## viridisLite "viridisLite"
## vroom "vroom"
## withr "withr"
## writexl "writexl"
## xfun "xfun"
## yaml "yaml"
## zoo "zoo"
## base "base"
## boot "boot"
## class "class"
## cluster "cluster"
## codetools "codetools"
## compiler "compiler"
## datasets "datasets"
## foreign "foreign"
## graphics "graphics"
## grDevices "grDevices"
## grid "grid"
## KernSmooth "KernSmooth"
## lattice "lattice"
## MASS "MASS"
## Matrix "Matrix"
## methods "methods"
## mgcv "mgcv"
## nlme "nlme"
## nnet "nnet"
## parallel "parallel"
## rpart "rpart"
## spatial "spatial"
## splines "splines"
## stats "stats"
## stats4 "stats4"
## survival "survival"
## tcltk "tcltk"
## tools "tools"
## utils "utils"
## LibPath
## abind "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## backports "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## base64enc "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## bit "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## bit64 "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## broom "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## bslib "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## cachem "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## car "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## carData "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## cellranger "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## checkmate "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## cli "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## clipr "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## colorspace "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## cowplot "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## cpp11 "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## crayon "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## data.table "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## DBI "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## Deriv "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## digest "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## doBy "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## dplyr "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## e1071 "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## effects "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## estimability "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## evaluate "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## farver "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## fastmap "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## fontawesome "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## forcats "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## forecast "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## Formula "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## fracdiff "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## fs "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## generics "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## ggplot2 "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## glue "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## gridExtra "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## gtable "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## haven "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## highr "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## Hmisc "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## hms "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## htmlTable "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## htmltools "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## htmlwidgets "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## insight "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## isoband "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## jquerylib "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## jsonlite "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## knitr "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## labeling "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## lifecycle "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## lme4 "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## lmtest "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## magrittr "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## MASS "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## MatrixModels "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## memoise "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## mime "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## minqa "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## mitools "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## modelr "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## nloptr "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## nortest "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## numDeriv "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## pbkrtest "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## pillar "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## pkgconfig "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## prettyunits "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## progress "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## proxy "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## purrr "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## quantreg "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## R6 "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## rappdirs "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## rbibutils "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## Rcmdr "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## RcmdrMisc "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## RColorBrewer "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## Rcpp "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## RcppArmadillo "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## RcppEigen "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## Rdpack "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## readr "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## readstata13 "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## readxl "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## reformulas "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## relimp "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## rematch "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## renv "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## rlang "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## rmarkdown "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## rstudioapi "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## S7 "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## sandwich "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## sass "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## scales "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## SparseM "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## stringi "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## stringr "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## survey "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## survival "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## tcltk2 "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## TeachingDemos "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## tibble "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## tidyr "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## tidyselect "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## timeDate "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## tinytex "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## tzdb "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## urca "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## utf8 "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## vctrs "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## viridisLite "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## vroom "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## withr "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## writexl "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## xfun "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## yaml "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## zoo "/Users/pedro/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23"
## base "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## boot "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## class "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## cluster "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## codetools "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## compiler "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## datasets "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## foreign "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## graphics "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## grDevices "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## grid "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## KernSmooth "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## lattice "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## MASS "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## Matrix "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## methods "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## mgcv "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## nlme "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## nnet "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## parallel "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## rpart "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## spatial "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## splines "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## stats "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## stats4 "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## survival "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## tcltk "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## tools "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## utils "/Users/pedro/Library/Caches/org.R-project.R/R/renv/sandbox/macos/R-4.6/aarch64-apple-darwin23/46003b10"
## Version Priority
## abind "1.4-8" NA
## backports "1.5.1" NA
## base64enc "0.1-6" NA
## bit "4.6.0" NA
## bit64 "4.8.6" NA
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## bslib "0.12.0" NA
## cachem "1.1.0" NA
## car "3.1-5" NA
## carData "3.0-6" NA
## cellranger "1.1.0" NA
## checkmate "2.3.4" NA
## cli "3.6.6" NA
## clipr "0.8.1" NA
## colorspace "2.1-3" NA
## cowplot "1.2.0" NA
## cpp11 "0.5.5" NA
## crayon "1.5.3" NA
## data.table "1.18.6.1" NA
## DBI "1.3.0" NA
## Deriv "4.3.5" NA
## digest "0.6.39" NA
## doBy "4.7.2" NA
## dplyr "1.2.1" NA
## e1071 "1.7-17" NA
## effects "4.2-5" NA
## estimability "2.0.0" NA
## evaluate "1.0.5" NA
## farver "2.1.2" NA
## fastmap "1.2.0" NA
## fontawesome "0.5.3" NA
## forcats "1.0.1" NA
## forecast "9.0.2" NA
## Formula "1.2-6" NA
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## generics "0.1.4" NA
## ggplot2 "4.0.3" NA
## glue "1.8.1" NA
## gridExtra "2.3.1" NA
## gtable "0.3.6" NA
## haven "2.5.5" NA
## highr "0.12" NA
## Hmisc "5.3-0" NA
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## htmlTable "2.5.0" NA
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## writexl "2.0.1" NA
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## class "7.3-23" "recommended"
## cluster "2.1.8.2" "recommended"
## codetools "0.2-20" "recommended"
## compiler "4.6.1" "base"
## datasets "4.6.1" "base"
## foreign "0.8-91" "recommended"
## graphics "4.6.1" "base"
## grDevices "4.6.1" "base"
## grid "4.6.1" "base"
## KernSmooth "2.23-26" "recommended"
## lattice "0.22-9" "recommended"
## MASS "7.3-65" "recommended"
## Matrix "1.7-5" "recommended"
## methods "4.6.1" "base"
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## parallel "4.6.1" "base"
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## spatial "7.3-18" "recommended"
## splines "4.6.1" "base"
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## survival "3.8-6" "recommended"
## tcltk "4.6.1" "base"
## tools "4.6.1" "base"
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## haven "R (>= 3.6)"
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## Hmisc "R (>= 4.2.0)"
## hms NA
## htmlTable "R (>= 4.1)"
## htmltools "R (>= 2.14.1)"
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## lme4 "R (>= 3.6), Matrix, methods, stats"
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## MatrixModels "R (>= 3.6.0)"
## memoise NA
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## modelr "R (>= 3.2)"
## nloptr NA
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## R6 "R (>= 3.6)"
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## rbibutils "R (>= 2.10)"
## Rcmdr "R (>= 3.5.0), grDevices, graphics, methods, stats, utils,\nsplines, RcmdrMisc (>= 2.10.2), car (>= 3.1-0), effects (>=\n4.0-3)"
## RcmdrMisc "R (>= 3.5.0), utils, car (>= 3.0-0), sandwich"
## RColorBrewer "R (>= 2.0.0)"
## Rcpp "R (>= 3.5.0)"
## RcppArmadillo "R (>= 3.3.0)"
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## S7 "R (>= 3.5.0)"
## sandwich "R (>= 3.0.0)"
## sass NA
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## SparseM "R (>= 2.15), methods"
## stringi "R (>= 3.4)"
## stringr "R (>= 4.1.0)"
## survey "R (>= 4.1.0), grid, methods, Matrix, survival"
## survival "R (>= 4.1.0)"
## tcltk2 "R (>= 4.2.0), tcltk"
## TeachingDemos NA
## tibble "R (>= 3.4.0)"
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## vroom "R (>= 4.1)"
## withr "R (>= 3.6.0)"
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## boot "R (>= 3.0.0), graphics, stats"
## class "R (>= 3.0.0), stats, utils"
## cluster "R (>= 3.5.0)"
## codetools "R (>= 2.1)"
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## foreign "R (>= 4.0.0)"
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## grid NA
## KernSmooth "R (>= 2.5.0), stats"
## lattice "R (>= 4.0.0)"
## MASS "R (>= 4.4.0), grDevices, graphics, stats, utils"
## Matrix "R (>= 4.4), methods"
## methods NA
## mgcv "R (>= 4.4.0), nlme (>= 3.1-64)"
## nlme "R (>= 3.6.0)"
## nnet "R (>= 3.0.0), stats, utils"
## parallel NA
## rpart "R (>= 2.15.0), graphics, stats, grDevices"
## spatial "R (>= 3.0.0), graphics, stats, utils"
## splines NA
## stats NA
## stats4 NA
## survival "R (>= 3.5.0)"
## tcltk NA
## tools NA
## utils NA
## Imports
## abind "methods, utils"
## backports NA
## base64enc NA
## bit NA
## bit64 "bit (>= 4.0.0), graphics, methods, stats, utils"
## broom "backports, cli, dplyr (>= 1.0.0), generics (>= 0.0.2), glue,\nlifecycle, purrr, rlang (>= 1.1.0), stringr, tibble (>= 3.0.0),\ntidyr (>= 1.0.0)"
## bslib "base64enc, cachem, fastmap (>= 1.1.1), grDevices, htmltools\n(>= 0.5.8), jquerylib (>= 0.1.3), jsonlite, lifecycle, memoise\n(>= 2.0.1), mime, rlang, sass (>= 0.4.9)"
## cachem "rlang, fastmap (>= 1.2.0)"
## car "abind, Formula, MASS, mgcv, nnet, pbkrtest (>= 0.4-4),\nquantreg, grDevices, utils, stats, graphics, lme4 (>=\n1.1-27.1), nlme, scales"
## carData NA
## cellranger "rematch, tibble"
## checkmate "backports (>= 1.1.0), utils"
## cli "utils"
## clipr "utils"
## colorspace "graphics, grDevices, stats"
## cowplot "ggplot2 (>= 3.5.2), grid, gtable, grDevices, methods, rlang,\nscales"
## cpp11 NA
## crayon "grDevices, methods, utils"
## data.table "methods"
## DBI NA
## Deriv "methods"
## digest "utils"
## doBy "boot, broom, cowplot, Deriv, dplyr, forecast, ggplot2, MASS,\nMatrix, modelr, rlang, purrr, tibble, tidyr,"
## dplyr "cli (>= 3.6.2), generics, glue (>= 1.3.2), lifecycle (>=\n1.0.5), magrittr (>= 1.5), methods, pillar (>= 1.9.0), R6,\nrlang (>= 1.1.7), tibble (>= 3.2.0), tidyselect (>= 1.2.0),\nutils, vctrs (>= 0.7.1)"
## e1071 "graphics, grDevices, class, stats, methods, utils, proxy"
## effects "lme4, nnet, lattice, grid, colorspace, graphics, grDevices,\nstats, survey, utils, estimability (>= 1.4.1), insight"
## estimability NA
## evaluate NA
## farver NA
## fastmap NA
## fontawesome "rlang (>= 1.0.6), htmltools (>= 0.5.1.1)"
## forcats "cli (>= 3.4.0), glue, lifecycle, magrittr, rlang (>= 1.0.0),\ntibble"
## forecast "colorspace, fracdiff, generics (>= 0.1.2), ggplot2 (>= 3.4.0),\ngraphics, lmtest, magrittr, nnet, parallel, Rcpp (>= 0.12.4),\nstats, timeDate, urca, withr, zoo"
## Formula NA
## fracdiff "stats"
## fs "methods"
## generics "methods"
## ggplot2 "cli, grDevices, grid, gtable (>= 0.3.6), isoband, lifecycle (>\n1.0.1), rlang (>= 1.1.0), S7, scales (>= 1.4.0), stats, vctrs\n(>= 0.6.0), withr (>= 2.5.0)"
## glue "methods"
## gridExtra "gtable, grid, grDevices, graphics, utils"
## gtable "cli, glue, grid, lifecycle, rlang (>= 1.1.0), stats"
## haven "cli (>= 3.0.0), forcats (>= 0.2.0), hms, lifecycle, methods,\nreadr (>= 0.1.0), rlang (>= 0.4.0), tibble, tidyselect, vctrs\n(>= 0.3.0)"
## highr "xfun (>= 0.18)"
## Hmisc "methods, ggplot2, cluster, rpart, nnet, foreign, gtable, grid,\ngridExtra, data.table, htmlTable (>= 1.11.0), viridisLite,\nhtmltools, base64enc, colorspace, rmarkdown, knitr, Formula"
## hms "cli, lifecycle, methods, pkgconfig, rlang (>= 1.0.2), vctrs\n(>= 0.3.8)"
## htmlTable "stringr, knitr (>= 1.6), magrittr (>= 1.5), methods,\ncheckmate, htmlwidgets, htmltools, rstudioapi (>= 0.6)"
## htmltools "base64enc, digest, fastmap (>= 1.1.0), grDevices, rlang (>=\n1.0.0), utils"
## htmlwidgets "grDevices, htmltools (>= 0.5.7), jsonlite (>= 0.9.16), knitr\n(>= 1.8), rmarkdown, yaml"
## insight "methods, stats, utils"
## isoband "cli, grid, rlang, utils"
## jquerylib "htmltools"
## jsonlite NA
## knitr "evaluate (>= 0.15), highr (>= 0.11), methods, tools, xfun (>=\n0.52), yaml (>= 2.1.19)"
## labeling "stats, graphics"
## lifecycle "cli (>= 3.4.0), rlang (>= 1.1.0)"
## lme4 "MASS, Rdpack, boot, graphics, grid, lattice, minqa (>=\n1.1.15), nlme (>= 3.1-123), nloptr (>= 1.0.4), parallel,\nreformulas (>= 0.4.3.1), splines, utils"
## lmtest "graphics"
## magrittr NA
## MASS "methods"
## MatrixModels "stats, methods, Matrix (>= 1.6-0), Matrix(< 1.8-0)"
## memoise "rlang (>= 0.4.10), cachem"
## mime "tools"
## minqa "Rcpp (>= 0.9.10)"
## mitools "DBI, methods, stats"
## modelr "broom, magrittr, purrr (>= 0.2.2), rlang (>= 1.0.6), tibble,\ntidyr (>= 0.8.0), tidyselect, vctrs"
## nloptr NA
## nortest "stats"
## numDeriv NA
## pbkrtest "broom, dplyr, MASS, methods, numDeriv, Matrix (>= 1.2.3), doBy\n(>= 4.6.22)"
## pillar "cli (>= 2.3.0), glue, lifecycle, rlang (>= 1.0.2), utf8 (>=\n1.1.0), utils, vctrs (>= 0.5.0)"
## pkgconfig "utils"
## prettyunits NA
## progress "crayon, hms, prettyunits, R6"
## proxy "stats, utils"
## purrr "cli (>= 3.6.1), lifecycle (>= 1.0.3), magrittr (>= 1.5.0),\nrlang (>= 1.1.1), vctrs (>= 0.6.3)"
## quantreg "methods, graphics, Matrix, MatrixModels, survival, MASS"
## R6 NA
## rappdirs NA
## rbibutils "utils, tools"
## Rcmdr "abind, lme4, relimp (>= 1.0-5), TeachingDemos, tcltk, tcltk2\n(>= 1.2-6), tools"
## RcmdrMisc "abind, colorspace, Hmisc (>= 4.1-0), MASS, e1071, foreign,\nhaven, readstata13, readxl, graphics, grDevices, stats,\nnortest, lattice"
## RColorBrewer NA
## Rcpp "methods, utils"
## RcppArmadillo "Rcpp (>= 1.1.1), stats, utils, methods"
## RcppEigen "Rcpp (>= 0.11.0), stats, utils"
## Rdpack "tools, utils, rbibutils (> 2.4)"
## readr "cli, clipr, crayon, glue, hms (>= 0.4.1), lifecycle, methods,\nR6, rlang, tibble, utils, vroom (>= 1.7.0), withr"
## readstata13 "Rcpp (>= 0.11.5)"
## readxl "cellranger, tibble (>= 2.0.1), utils"
## reformulas "stats, methods, Matrix, Rdpack"
## relimp "stats, utils"
## rematch NA
## renv "utils"
## rlang "utils"
## rmarkdown "bslib (>= 0.2.5.1), evaluate (>= 0.13), fontawesome (>=\n0.5.0), htmltools (>= 0.5.1), jquerylib, jsonlite, knitr (>=\n1.50), methods, tinytex (>= 0.31), tools, utils, xfun (>=\n0.36), yaml (>= 2.1.19)"
## rstudioapi NA
## S7 "utils"
## sandwich "stats, utils, zoo"
## sass "fs (>= 1.2.4), rlang (>= 0.4.10), htmltools (>= 0.5.1), R6,\nrappdirs"
## scales "cli, farver (>= 2.0.3), glue, labeling, lifecycle, R6,\nRColorBrewer, rlang (>= 1.1.0), viridisLite"
## SparseM "graphics, stats, utils"
## stringi "tools, utils, stats"
## stringr "cli, glue (>= 1.6.1), lifecycle (>= 1.0.3), magrittr, rlang\n(>= 1.0.0), stringi (>= 1.5.3), vctrs (>= 0.4.0)"
## survey "stats, graphics, splines, lattice, minqa, numDeriv, mitools\n(>= 2.4), Rcpp (>= 0.12.8)"
## survival "graphics, Matrix, methods, splines, stats, utils"
## tcltk2 NA
## TeachingDemos NA
## tibble "cli, lifecycle (>= 1.0.0), magrittr, methods, pillar (>=\n1.8.1), pkgconfig, rlang (>= 1.0.2), utils, vctrs (>= 0.5.0)"
## tidyr "cli (>= 3.4.1), dplyr (>= 1.1.0), glue, lifecycle (>= 1.0.3),\nmagrittr, purrr (>= 1.0.1), rlang (>= 1.1.1), stringr (>=\n1.5.0), tibble (>= 2.1.1), tidyselect (>= 1.2.1), utils, vctrs\n(>= 0.5.2)"
## tidyselect "cli (>= 3.3.0), glue (>= 1.3.0), lifecycle (>= 1.0.3), rlang\n(>= 1.0.4), vctrs (>= 0.5.2), withr"
## timeDate "graphics, utils, stats"
## tinytex "xfun (>= 0.48)"
## tzdb NA
## urca "nlme, graphics, stats"
## utf8 NA
## vctrs "cli (>= 3.4.0), glue, lifecycle (>= 1.0.3), rlang (>= 1.1.7)"
## viridisLite NA
## vroom "bit64, cli (>= 3.2.0), crayon, glue, hms, lifecycle (>=\n1.0.3), methods, rlang (>= 1.1.0), stats, tibble (>= 2.0.0),\ntidyselect, tzdb (>= 0.1.1), vctrs (>= 0.2.0), withr"
## withr "graphics, grDevices"
## writexl NA
## xfun "grDevices, stats, tools"
## yaml NA
## zoo "utils, graphics, grDevices, lattice (>= 0.20-27)"
## base NA
## boot NA
## class "MASS"
## cluster "graphics, grDevices, stats, utils"
## codetools NA
## compiler NA
## datasets NA
## foreign "methods, utils, stats"
## graphics "grDevices"
## grDevices NA
## grid "grDevices, utils"
## KernSmooth NA
## lattice "grid, grDevices, graphics, stats, utils"
## MASS "methods"
## Matrix "grDevices, graphics, grid, lattice, stats, utils"
## methods "utils, stats"
## mgcv "methods, stats, graphics, Matrix, splines, utils"
## nlme "graphics, stats, utils, lattice"
## nnet NA
## parallel "tools, compiler"
## rpart NA
## spatial NA
## splines "graphics, stats"
## stats "utils, grDevices, graphics"
## stats4 "graphics, methods, stats"
## survival "graphics, Matrix, methods, splines, stats, utils"
## tcltk "utils"
## tools NA
## utils NA
## LinkingTo
## abind NA
## backports NA
## base64enc NA
## bit NA
## bit64 NA
## broom NA
## bslib NA
## cachem NA
## car NA
## carData NA
## cellranger NA
## checkmate NA
## cli NA
## clipr NA
## colorspace NA
## cowplot NA
## cpp11 NA
## crayon NA
## data.table NA
## DBI NA
## Deriv "Rcpp"
## digest NA
## doBy NA
## dplyr NA
## e1071 NA
## effects NA
## estimability NA
## evaluate NA
## farver NA
## fastmap NA
## fontawesome NA
## forcats NA
## forecast "Rcpp (>= 0.12.4), RcppArmadillo (>= 0.2.35)"
## Formula NA
## fracdiff NA
## fs NA
## generics NA
## ggplot2 NA
## glue NA
## gridExtra NA
## gtable NA
## haven "cpp11"
## highr NA
## Hmisc NA
## hms NA
## htmlTable NA
## htmltools NA
## htmlwidgets NA
## insight NA
## isoband "cpp11"
## jquerylib NA
## jsonlite NA
## knitr NA
## labeling NA
## lifecycle NA
## lme4 "Matrix (>= 1.5-0), Rcpp (>= 1.1.1-1.1), RcppEigen (>=\n0.3.3.9.4)"
## lmtest NA
## magrittr NA
## MASS NA
## MatrixModels NA
## memoise NA
## mime NA
## minqa "Rcpp"
## mitools NA
## modelr NA
## nloptr NA
## nortest NA
## numDeriv NA
## pbkrtest NA
## pillar NA
## pkgconfig NA
## prettyunits NA
## progress NA
## proxy NA
## purrr "cli"
## quantreg NA
## R6 NA
## rappdirs NA
## rbibutils NA
## Rcmdr NA
## RcmdrMisc NA
## RColorBrewer NA
## Rcpp NA
## RcppArmadillo "Rcpp"
## RcppEigen "Rcpp"
## Rdpack NA
## readr "cpp11, tzdb (>= 0.1.1)"
## readstata13 "Rcpp"
## readxl "cpp11 (>= 0.5.5), progress"
## reformulas NA
## relimp NA
## rematch NA
## renv NA
## rlang NA
## rmarkdown NA
## rstudioapi NA
## S7 NA
## sandwich NA
## sass NA
## scales NA
## SparseM NA
## stringi NA
## stringr NA
## survey "Rcpp, RcppArmadillo"
## survival NA
## tcltk2 NA
## TeachingDemos NA
## tibble NA
## tidyr "cpp11 (>= 0.4.0)"
## tidyselect NA
## timeDate NA
## tinytex NA
## tzdb "cpp11 (>= 0.5.2)"
## urca NA
## utf8 NA
## vctrs NA
## viridisLite NA
## vroom "cpp11 (>= 0.2.0), progress (>= 1.2.3), tzdb (>= 0.1.1)"
## withr NA
## writexl NA
## xfun NA
## yaml NA
## zoo NA
## base NA
## boot NA
## class NA
## cluster NA
## codetools NA
## compiler NA
## datasets NA
## foreign NA
## graphics NA
## grDevices NA
## grid NA
## KernSmooth NA
## lattice NA
## MASS NA
## Matrix NA
## methods NA
## mgcv NA
## nlme NA
## nnet NA
## parallel NA
## rpart NA
## spatial NA
## splines NA
## stats NA
## stats4 NA
## survival NA
## tcltk NA
## tools NA
## utils NA
## Suggests
## abind NA
## backports NA
## base64enc NA
## bit "testthat (>= 3.0.0), roxygen2, knitr, markdown, rmarkdown,\nmicrobenchmark, bit64 (>= 4.0.0), ff (>= 4.0.0)"
## bit64 "patrick (>= 0.3.0), testthat (>= 3.3.0), withr"
## broom "AER, AUC, bbmle, betareg (>= 3.2-1), biglm, binGroup, boot,\nbtergm (>= 1.10.6), car (>= 3.1-2), carData, caret, cluster,\ncmprsk, coda, covr, drc, e1071, emmeans, epiR (>= 2.0.85), ergm\n(>= 3.10.4), fixest (>= 0.9.0), gam (>= 1.15), gee, geepack,\nggplot2, glmnet, glmnetUtils, gmm, Hmisc, interp, irlba,\njoineRML, Kendall, knitr, ks, Lahman, lavaan (>= 0.6.18),\nleaps, lfe, lm.beta, lme4, lmodel2, lmtest (>= 0.9.38),\nlsmeans, maps, margins, MASS, mclust, mediation, metafor, mfx,\nmgcv, mlogit, modeldata, modeltests (>= 0.1.6), muhaz,\nmultcomp, network, nnet, ordinal, plm, poLCA, psych, quantreg,\nrmarkdown, robust, robustbase, rsample, sandwich, spatialreg,\nspdep (>= 1.1), speedglm, spelling, stats4, survey, survival\n(>= 3.6-4), systemfit, testthat (>= 3.0.0), tseries, vars, zoo"
## bslib "brand.yml, bsicons, curl, fontawesome, future, ggplot2,\nknitr, lattice, magrittr, rappdirs, rmarkdown (>= 2.7), shiny\n(>= 1.11.1.9000), testthat, thematic, tools, utils, withr, yaml"
## cachem "testthat"
## car "alr4, boot, coxme, effects, knitr, leaps, lmtest, Matrix,\nMatrixModels, ordinal, plotrix, mvtnorm, rgl (>= 0.111.3), rio,\nsandwich, SparseM, survival, survey"
## carData "car (>= 3.0-0)"
## cellranger "covr, testthat (>= 1.0.0), knitr, rmarkdown"
## checkmate "R6, fastmatch, data.table (>= 1.9.8), devtools, ggplot2,\nknitr, magrittr, microbenchmark, rmarkdown, testthat (>=\n3.0.4), tinytest (>= 1.1.0), tibble"
## cli "callr, covr, crayon, digest, glue (>= 1.6.0), grDevices,\nhtmltools, htmlwidgets, knitr, methods, processx, ps (>=\n1.3.4.9000), rlang (>= 1.0.2.9003), rmarkdown, rprojroot,\nrstudioapi, testthat (>= 3.2.0), tibble, whoami, withr"
## clipr "covr, knitr, rmarkdown, rstudioapi (>= 0.5), testthat (>=\n2.0.0)"
## colorspace "datasets, utils, KernSmooth, MASS, kernlab, mvtnorm, vcd,\ntcltk, shiny, shinyjs, ggplot2, dplyr, scales, grid, png, jpeg,\nknitr, rmarkdown, RColorBrewer, rcartocolor, scico, viridis,\nwesanderson"
## cowplot "Cairo, covr, dplyr, forcats, gridGraphics (>= 0.4-0), knitr,\nlattice, magick, maps, PASWR, patchwork, rmarkdown, ragg,\ntestthat (>= 1.0.0), tidyr, vdiffr (>= 0.3.0), VennDiagram"
## cpp11 "bench, brio, callr, cli, covr, decor, desc, ggplot2, glue,\nknitr, lobstr, mockery, progress, rmarkdown, scales, Rcpp,\ntestthat (>= 3.2.0), tibble, utils, vctrs, withr"
## crayon "mockery, rstudioapi, testthat, withr"
## data.table "bit64 (>= 4.0.0), bit (>= 4.0.4), R.utils (>= 2.13.0), xts,\nzoo (>= 1.8-1), yaml, knitr, markdown"
## DBI "arrow, blob, callr, covr, DBItest (>= 1.8.2), dbplyr,\ndownlit, dplyr, glue, hms, knitr, magrittr, nanoarrow (>=\n0.3.0.1), otel, otelsdk, RMariaDB, rmarkdown, rprojroot,\nRSQLite (>= 1.1-2), testthat (>= 3.0.0), vctrs, xml2"
## Deriv "testthat (>= 0.11.0)"
## digest "tinytest, simplermarkdown, rbenchmark"
## doBy "geepack, knitr, lme4, markdown, rmarkdown, multcomp,\nmicrobenchmark, pbkrtest (>= 0.5.2), survival, testthat (>=\n2.1.0)"
## dplyr "broom, covr, DBI, dbplyr (>= 2.2.1), ggplot2, knitr, Lahman,\nlobstr, nycflights13, purrr, rmarkdown, RSQLite, stringi (>=\n1.7.6), testthat (>= 3.1.5), tidyr (>= 1.3.0), withr"
## e1071 "cluster, mlbench, nnet, randomForest, rpart, SparseM, xtable,\nMatrix, MASS, slam"
## effects "pbkrtest (>= 0.4-4), nlme, MASS, poLCA, heplots, splines,\nordinal, car, knitr, betareg, alr4, robustlmm"
## estimability "knitr, rmarkdown"
## evaluate "callr, covr, ggplot2 (>= 3.3.6), lattice, methods, pkgload,\nragg (>= 1.4.0), rlang (>= 1.1.5), knitr, testthat (>= 3.0.0),\nwithr"
## farver "covr, testthat (>= 3.0.0)"
## fastmap "testthat (>= 2.1.1)"
## fontawesome "covr, dplyr (>= 1.0.8), gt (>= 0.9.0), knitr (>= 1.31),\ntestthat (>= 3.0.0), rsvg"
## forcats "covr, dplyr, ggplot2, knitr, readr, rmarkdown, testthat (>=\n3.0.0), withr"
## forecast "forecTheta, knitr, methods, rmarkdown, rticles, scales,\nseasonal, testthat (>= 3.3.0), uroot"
## Formula "knitr, rmarkdown"
## fracdiff "longmemo, forecast, urca"
## fs "covr, crayon, knitr, pillar (>= 1.0.0), rmarkdown, spelling,\ntestthat (>= 3.0.0), tibble (>= 1.1.0), vctrs (>= 0.3.0), withr"
## generics "covr, pkgload, testthat (>= 3.0.0), tibble, withr"
## ggplot2 "broom, covr, dplyr, ggplot2movies, hexbin, Hmisc, hms, knitr,\nmapproj, maps, MASS, mgcv, multcomp, munsell, nlme, profvis,\nquantreg, quarto, ragg (>= 1.2.6), RColorBrewer, roxygen2,\nrpart, sf (>= 0.7-3), svglite (>= 2.1.2), testthat (>= 3.1.5),\ntibble, vdiffr (>= 1.0.6), xml2"
## glue "crayon, DBI (>= 1.2.0), dplyr, knitr, rlang, rmarkdown,\nRSQLite, testthat (>= 3.2.0), vctrs (>= 0.3.0), waldo (>=\n0.5.3), withr"
## gridExtra "ggplot2, egg, lattice, knitr, testthat"
## gtable "covr, ggplot2, knitr, profvis, rmarkdown, testthat (>= 3.0.0)"
## haven "covr, crayon, fs, knitr, pillar (>= 1.4.0), rmarkdown,\ntestthat (>= 3.0.0), utf8"
## highr "knitr, markdown, testit"
## Hmisc "survival, qreport, acepack, chron, rms, mice, rstudioapi,\ntables, plotly (>= 4.5.6), rlang, VGAM, leaps, pcaPP, digest,\nparallel, polspline, abind, kableExtra, rio, lattice,\nlatticeExtra, gt, sparkline, jsonlite, htmlwidgets, qs2,\ngetPass, keyring, safer, htm2txt, boot"
## hms "crayon, lubridate, pillar (>= 1.1.0), testthat (>= 3.0.0)"
## htmlTable "testthat, XML, xml2, Hmisc, rmarkdown, chron, lubridate,\ntibble, purrr, tidyselect, glue, rlang, tidyr (>= 0.7.2), dplyr\n(>= 0.7.4)"
## htmltools "Cairo, markdown, ragg, shiny, testthat, withr"
## htmlwidgets "testthat"
## insight "AER, afex, aod, ape, BayesFactor, bayestestR, bbmle, BSDA,\nbdsmatrix, betareg, biglm, BH, blavaan (>= 0.5-5), blme, boot,\nbrms, broom, car, carData, censReg, cgam, clubSandwich, cobalt,\ncoxme, cplm, crch, curl, datawizard (>= 1.2.0), dbarts,\neffectsize, emmeans, epiR, estimatr, feisr, fixest (>= 0.11.2),\nfungible, fwb, gam, gamlss, gamlss.data, gamm4, gbm, gee,\ngeepack, geoR, GLMMadaptive, glmmTMB (>= 1.1.12), glmtoolbox,\ngmnl, grDevices, gt, httptest2, httr2, interp, ivreg, JM,\nknitr, lavaan, lavaSearch2, lcmm, lfe, lme4, lmerTest, lmtest,\nlogistf, logitr, marginaleffects (>= 0.29.0), MASS, Matrix,\nmclogit, mclust, MCMCglmm, merTools, metaBMA, metadat, metafor,\nmetaplus, mgcv, mhurdle, mice (>= 3.17.0), mlogit, mmrm,\nmodelbased (>= 0.9.0), multgee, MuMIn, mvtnorm, nestedLogit,\nnlme, nnet, nonnest2, ordinal, panelr, parameters (>= 0.28.0),\nparsnip, pbkrtest, performance, phylolm, plm, PROreg (>=\n1.3.0), pscl, psych, quantreg, Rcpp, RcppEigen, reformulas,\nrecipes, rmarkdown, rms, robustbase, robustlmm, rpart, rstanarm\n(>= 2.21.1), rstantools (>= 2.1.0), rstpm2, rstudioapi,\nRWiener, sandwich, sdmTMB, sampleSelection, serp, speedglm,\nsplines, statmod, survey, survival, svylme, testthat,\ntidymodels, tinytable (>= 0.13.0), TMB, truncreg, tune,\ntweedie, VGAM, WeightIt, withr, workflows"
## isoband "covr, ggplot2, knitr, magick, bench, rmarkdown, sf, testthat\n(>= 3.0.0), xml2"
## jquerylib "testthat"
## jsonlite "httr, vctrs, testthat, knitr, rmarkdown, R.rsp, sf"
## knitr "bslib, DBI (>= 0.4-1), digest, formatR, gifski, gridSVG,\nhtmlwidgets (>= 0.7), jpeg, JuliaCall (>= 0.11.1), magick,\nlitedown (>= 0.10), otel, otelsdk, png, ragg (>= 1.5.0),\nreticulate (>= 1.4), rgl (>= 0.95.1201), rlang, rmarkdown,\nsass, showtext, styler (>= 1.2.0), targets (>= 0.6.0), testit,\ntibble, tikzDevice (>= 0.10), tinytex (>= 0.56), webshot,\nrstudioapi, svglite"
## labeling NA
## lifecycle "covr, knitr, lintr (>= 3.1.0), rmarkdown, testthat (>=\n3.0.1), tibble, tidyverse, tools, vctrs, withr, xml2"
## lme4 "DHARMa, HSAUR3, MEMSS, car, dfoptim, future.apply, gamm4,\nggplot2, glmmTMB, gridExtra, knitr, merDeriv, mgcv, mlmRev,\nnumDeriv, optimx (>= 2013.8.6), pbkrtest, performance,\nrmarkdown, rr2, see, semEff, statmod, testthat (>= 0.8.1),\ntibble"
## lmtest "car, strucchange, sandwich, dynlm, stats4, survival, AER"
## magrittr "covr, knitr, rlang, rmarkdown, testthat"
## MASS "lattice, nlme, nnet, survival"
## MatrixModels NA
## memoise "digest, aws.s3, covr, googleAuthR, googleCloudStorageR, httr,\ntestthat"
## mime NA
## minqa NA
## mitools "RODBC, foreign"
## modelr "compiler, covr, ggplot2, testthat (>= 3.0.0)"
## nloptr "knitr, rmarkdown, covr, tinytest"
## nortest NA
## numDeriv NA
## pbkrtest "nlme, markdown, knitr"
## pillar "bit64, DBI, debugme, DiagrammeR, dplyr, formattable, ggplot2,\nknitr, lubridate, nanotime, nycflights13, palmerpenguins,\nrmarkdown, scales, stringi, survival, testthat (>= 3.1.1),\ntibble, units (>= 0.7.2), vdiffr, withr"
## pkgconfig "covr, testthat, disposables (>= 1.0.3)"
## prettyunits "codetools, covr, testthat"
## progress "Rcpp, testthat (>= 3.0.0), withr"
## proxy "cba"
## purrr "carrier (>= 0.3.0), covr, dplyr (>= 0.7.8), httr, knitr,\nlubridate, mirai (>= 2.5.1), rmarkdown, testthat (>= 3.0.0),\ntibble, tidyselect"
## quantreg "interp, rgl, logspline, nor1mix, Formula, zoo, R.rsp, conquer"
## R6 "lobstr, testthat (>= 3.0.0)"
## rappdirs "covr, roxygen2, testthat (>= 3.2.0), withr"
## rbibutils "testthat"
## Rcmdr "aplpack, boot, colorspace, e1071, foreign, grid, Hmisc,\nknitr, lattice, leaps, lmtest, markdown, MASS, mgcv, multcomp\n(>= 0.991-2), nlme, nnet, nortest, readxl, rgl (>= 0.110.2),\nrmarkdown (>= 0.9.5), sem (>= 2.1-1)"
## RcmdrMisc "boot, datasets, carData"
## RColorBrewer NA
## Rcpp "tinytest, inline, rbenchmark, pkgKitten (>= 0.1.2)"
## RcppArmadillo "tinytest, Matrix (>= 1.3.0), pkgKitten, reticulate, slam"
## RcppEigen "Matrix, inline, tinytest, pkgKitten, microbenchmark"
## Rdpack "grDevices, testthat, rstudioapi, rprojroot, gbRd"
## readr "covr, curl, datasets, knitr, rmarkdown, spelling, stringi,\ntestthat (>= 3.2.0), tzdb (>= 0.1.1), waldo, xml2"
## readstata13 "testthat, knitr, rmarkdown, curl, png, expss, labelled"
## readxl "covr, knitr, rmarkdown, testthat (>= 3.1.6), withr"
## reformulas "lme4, tinytest, glmmTMB, Formula"
## relimp "tcltk, nnet, MASS, Rcmdr"
## rematch "covr, testthat"
## renv "BiocManager, cli, compiler, covr, cpp11, curl, devtools,\ngenerics, gitcreds, jsonlite, jsonvalidate, knitr, miniUI,\nmodules, packrat, pak, pkgload, R6, remotes, reticulate,\nrmarkdown, rstudioapi, shiny, testthat, uuid, waldo, yaml,\nwebfakes"
## rlang "cli (>= 3.1.0), covr, crayon, desc, fs, glue, knitr,\nmagrittr, methods, pillar, pkgload, rmarkdown, stats, testthat\n(>= 3.3.2), tibble, usethis, vctrs (>= 0.2.3), withr"
## rmarkdown "digest, dygraphs, fs, rsconnect, downlit (>= 0.4.0), katex\n(>= 1.4.0), sass (>= 0.4.0), shiny (>= 1.6.0), testthat (>=\n3.0.3), tibble, vctrs, cleanrmd, withr (>= 2.4.2), xml2"
## rstudioapi "testthat, knitr, rmarkdown, clipr, covr, curl, jsonlite, R6,\nwithr"
## S7 "bench, callr, covr, knitr, methods, rmarkdown, testthat (>=\n3.2.0), tibble"
## sandwich "AER, car, geepack, lattice, lme4, lmtest, MASS, multiwayvcov,\nparallel, pcse, plm, pscl, scatterplot3d, stats4, strucchange,\nsurvival"
## sass "testthat, knitr, rmarkdown, withr, shiny, curl"
## scales "bit64, covr, dichromat, ggplot2, hms (>= 0.5.0), stringi,\ntestthat (>= 3.0.0)"
## SparseM "knitr"
## stringi NA
## stringr "covr, dplyr, gt, htmltools, htmlwidgets, knitr, rmarkdown,\ntestthat (>= 3.0.0), tibble"
## survey "foreign, MASS, KernSmooth, hexbin, RSQLite, quantreg,\nparallel, CompQuadForm, DBI, AER, SUMMER (>= 1.4.0), R.rsp,\nknitr, testthat (>= 3.0.0)"
## survival NA
## tcltk2 "utils, covr, knitr, rmarkdown"
## TeachingDemos "tkrplot, lattice, MASS, rgl, tcltk, tcltk2, png, ggplot2,\nlogspline, spData, sf"
## tibble "bench, bit64, blob, brio, callr, DiagrammeR, dplyr, evaluate,\nformattable, ggplot2, here, hms, htmltools, knitr, lubridate,\nnycflights13, pkgload, purrr, rmarkdown, stringi, testthat (>=\n3.0.2), tidyr, withr"
## tidyr "covr, data.table, knitr, readr, repurrrsive (>= 1.1.0),\nrmarkdown, testthat (>= 3.0.0)"
## tidyselect "covr, crayon, dplyr, knitr, magrittr, rmarkdown, stringr,\ntestthat (>= 3.1.1), tibble (>= 2.1.3)"
## timeDate "RUnit"
## tinytex "testit, rstudioapi"
## tzdb "covr, testthat (>= 3.0.0)"
## urca NA
## utf8 "cli, covr, knitr, rlang, rmarkdown, testthat (>= 3.0.0),\nwithr"
## vctrs "bit64, covr, crayon, dplyr (>= 0.8.5), generics, knitr,\npillar (>= 1.4.4), pkgdown (>= 2.0.1), rmarkdown, testthat (>=\n3.0.0), tibble (>= 3.1.3), waldo (>= 0.2.0), withr, xml2,\nzeallot"
## viridisLite "hexbin (>= 1.27.0), ggplot2 (>= 1.0.1), testthat, covr"
## vroom "archive, bench (>= 1.1.0), covr, curl, dplyr, forcats, fs,\nggplot2, knitr, patchwork, prettyunits, purrr, rmarkdown,\nrstudioapi, scales, spelling, testthat (>= 2.1.0), tidyr,\nutils, waldo, xml2"
## withr "callr, DBI, knitr, methods, rlang, rmarkdown (>= 2.12),\nRSQLite, testthat (>= 3.0.0)"
## writexl "grDevices, graphics, spelling, readxl, nycflights13, testthat\n(>= 3.2.0), xml2, bit64, knitr, rmarkdown"
## xfun "testit, parallel, codetools, methods, rstudioapi, tinytex (>=\n0.30), mime, litedown (>= 0.6), commonmark, knitr (>= 1.50),\nremotes, pak, curl, xml2, jsonlite, magick, yaml, data.table,\nqs2"
## yaml "knitr, rmarkdown, testthat (>= 3.0.0)"
## zoo "AER, coda, chron, ggplot2 (>= 3.5.0), knitr, mondate, scales,\nstinepack, strucchange, timeDate, timeSeries (>= 4021.104),\ntinyplot, tis, tseries, xts"
## base "methods"
## boot "MASS, survival"
## class NA
## cluster "MASS, Matrix"
## codetools NA
## compiler NA
## datasets NA
## foreign NA
## graphics NA
## grDevices "KernSmooth"
## grid NA
## KernSmooth "MASS, carData"
## lattice "KernSmooth, MASS, latticeExtra, colorspace"
## MASS "lattice, nlme, nnet, survival"
## Matrix "MASS, datasets, sfsmisc, tools"
## methods "codetools"
## mgcv "parallel, survival, MASS"
## nlme "MASS, SASmixed"
## nnet "MASS"
## parallel "methods"
## rpart "survival"
## spatial "MASS"
## splines "Matrix, methods"
## stats "MASS, Matrix, SuppDists, methods, stats4"
## stats4 NA
## survival NA
## tcltk NA
## tools "codetools, methods, xml2, curl, commonmark, knitr, xfun, mathjaxr, V8, bibtex"
## utils "methods, xml2, commonmark, knitr, jsonlite"
## Enhances
## abind NA
## backports NA
## base64enc "png"
## bit NA
## bit64 NA
## broom NA
## bslib NA
## cachem NA
## car NA
## carData NA
## cellranger NA
## checkmate NA
## cli NA
## clipr NA
## colorspace NA
## cowplot NA
## cpp11 NA
## crayon NA
## data.table NA
## DBI NA
## Deriv NA
## digest NA
## doBy NA
## dplyr NA
## e1071 NA
## effects NA
## estimability NA
## evaluate NA
## farver NA
## fastmap NA
## fontawesome NA
## forcats NA
## forecast NA
## Formula NA
## fracdiff NA
## fs NA
## generics NA
## ggplot2 "sp"
## glue NA
## gridExtra NA
## gtable NA
## haven NA
## highr NA
## Hmisc NA
## hms NA
## htmlTable NA
## htmltools "knitr"
## htmlwidgets "shiny (>= 1.1)"
## insight NA
## isoband NA
## jquerylib NA
## jsonlite NA
## knitr NA
## labeling NA
## lifecycle NA
## lme4 NA
## lmtest NA
## magrittr NA
## MASS NA
## MatrixModels NA
## memoise NA
## mime NA
## minqa NA
## mitools NA
## modelr NA
## nloptr NA
## nortest NA
## numDeriv NA
## pbkrtest NA
## pillar NA
## pkgconfig NA
## prettyunits NA
## progress NA
## proxy NA
## purrr NA
## quantreg NA
## R6 NA
## rappdirs NA
## rbibutils NA
## Rcmdr NA
## RcmdrMisc NA
## RColorBrewer NA
## Rcpp NA
## RcppArmadillo NA
## RcppEigen NA
## Rdpack NA
## readr NA
## readstata13 NA
## readxl NA
## reformulas NA
## relimp NA
## rematch NA
## renv NA
## rlang "winch"
## rmarkdown NA
## rstudioapi NA
## S7 NA
## sandwich NA
## sass NA
## scales NA
## SparseM NA
## stringi NA
## stringr NA
## survey NA
## survival NA
## tcltk2 NA
## TeachingDemos "manipulate, R2wd"
## tibble NA
## tidyr NA
## tidyselect NA
## timeDate NA
## tinytex NA
## tzdb NA
## urca NA
## utf8 NA
## vctrs NA
## viridisLite NA
## vroom NA
## withr NA
## writexl NA
## xfun NA
## yaml NA
## zoo NA
## base "chron, date, round"
## boot NA
## class NA
## cluster "mvoutlier, fpc, ellipse, sfsmisc"
## codetools NA
## compiler NA
## datasets NA
## foreign NA
## graphics "vcd"
## grDevices NA
## grid NA
## KernSmooth NA
## lattice "chron, zoo"
## MASS NA
## Matrix "SparseM, graph"
## methods NA
## mgcv NA
## nlme NA
## nnet NA
## parallel "snow, Rmpi, mirai, parallelly"
## rpart NA
## spatial NA
## splines NA
## stats "Kendall, coin, multcomp, pcaPP, pspearman, robustbase"
## stats4 NA
## survival NA
## tcltk NA
## tools NA
## utils NA
## License License_is_FOSS
## abind "MIT + file LICENSE" NA
## backports "GPL-2 | GPL-3" NA
## base64enc "GPL-2 | GPL-3" NA
## bit "GPL-2 | GPL-3" NA
## bit64 "GPL-2 | GPL-3" NA
## broom "MIT + file LICENSE" NA
## bslib "MIT + file LICENSE" NA
## cachem "MIT + file LICENSE" NA
## car "GPL (>= 2)" NA
## carData "GPL (>= 2)" NA
## cellranger "MIT + file LICENSE" NA
## checkmate "BSD_3_clause + file LICENSE" NA
## cli "MIT + file LICENSE" NA
## clipr "GPL-3" NA
## colorspace "BSD_3_clause + file LICENSE" NA
## cowplot "GPL-2" NA
## cpp11 "MIT + file LICENSE" NA
## crayon "MIT + file LICENSE" NA
## data.table "MPL-2.0 | file LICENSE" NA
## DBI "LGPL (>= 2.1)" NA
## Deriv "GPL (>= 3)" NA
## digest "GPL (>= 2)" NA
## doBy "GPL (>= 2)" NA
## dplyr "MIT + file LICENSE" NA
## e1071 "GPL-2 | GPL-3" NA
## effects "GPL (>= 2)" NA
## estimability "GPL (>= 3)" NA
## evaluate "MIT + file LICENSE" NA
## farver "MIT + file LICENSE" NA
## fastmap "MIT + file LICENSE" NA
## fontawesome "MIT + file LICENSE" NA
## forcats "MIT + file LICENSE" NA
## forecast "GPL-3" NA
## Formula "GPL-2 | GPL-3" NA
## fracdiff "GPL (>= 2)" NA
## fs "MIT + file LICENSE" NA
## generics "MIT + file LICENSE" NA
## ggplot2 "MIT + file LICENSE" NA
## glue "MIT + file LICENSE" NA
## gridExtra "GPL (>= 2)" NA
## gtable "MIT + file LICENSE" NA
## haven "MIT + file LICENSE" NA
## highr "GPL" NA
## Hmisc "GPL (>= 2)" NA
## hms "MIT + file LICENSE" NA
## htmlTable "GPL (>= 3)" NA
## htmltools "GPL (>= 2)" NA
## htmlwidgets "MIT + file LICENSE" NA
## insight "GPL-3" NA
## isoband "MIT + file LICENSE" NA
## jquerylib "MIT + file LICENSE" NA
## jsonlite "MIT + file LICENSE" NA
## knitr "GPL" NA
## labeling "MIT + file LICENSE | Unlimited" NA
## lifecycle "MIT + file LICENSE" NA
## lme4 "GPL (>= 2)" NA
## lmtest "GPL-2 | GPL-3" NA
## magrittr "MIT + file LICENSE" NA
## MASS "GPL-2 | GPL-3" NA
## MatrixModels "GPL (>= 2)" NA
## memoise "MIT + file LICENSE" NA
## mime "GPL" NA
## minqa "GPL-2" NA
## mitools "GPL-2" NA
## modelr "GPL-3" NA
## nloptr "LGPL (>= 3)" NA
## nortest "GPL (>= 2)" NA
## numDeriv "GPL-2" NA
## pbkrtest "GPL (>= 2)" NA
## pillar "MIT + file LICENSE" NA
## pkgconfig "MIT + file LICENSE" NA
## prettyunits "MIT + file LICENSE" NA
## progress "MIT + file LICENSE" NA
## proxy "GPL-2 | GPL-3" NA
## purrr "MIT + file LICENSE" NA
## quantreg "GPL (>= 2)" NA
## R6 "MIT + file LICENSE" NA
## rappdirs "MIT + file LICENSE" NA
## rbibutils "GPL-2" NA
## Rcmdr "GPL (>= 2)" NA
## RcmdrMisc "GPL (>= 3)" NA
## RColorBrewer "Apache License 2.0" NA
## Rcpp "GPL (>= 2)" NA
## RcppArmadillo "GPL (>= 2)" NA
## RcppEigen "GPL (>= 2) | file LICENSE" NA
## Rdpack "GPL (>= 2)" NA
## readr "MIT + file LICENSE" NA
## readstata13 "GPL-2 | file LICENSE" NA
## readxl "MIT + file LICENSE" NA
## reformulas "GPL-3" NA
## relimp "GPL (>= 2)" NA
## rematch "MIT + file LICENSE" NA
## renv "MIT + file LICENSE" NA
## rlang "MIT + file LICENSE" NA
## rmarkdown "MIT + file LICENSE" NA
## rstudioapi "MIT + file LICENSE" NA
## S7 "MIT + file LICENSE" NA
## sandwich "GPL-2 | GPL-3" NA
## sass "MIT + file LICENSE" NA
## scales "MIT + file LICENSE" NA
## SparseM "GPL (>= 2)" NA
## stringi "file LICENSE" "yes"
## stringr "MIT + file LICENSE" NA
## survey "GPL-2 | GPL-3" NA
## survival "LGPL (>= 2)" NA
## tcltk2 "LGPL-3" NA
## TeachingDemos "Artistic-2.0" NA
## tibble "MIT + file LICENSE" NA
## tidyr "MIT + file LICENSE" NA
## tidyselect "MIT + file LICENSE" NA
## timeDate "GPL (>= 2)" NA
## tinytex "MIT + file LICENSE" NA
## tzdb "MIT + file LICENSE" NA
## urca "GPL (>= 2)" NA
## utf8 "Apache License (== 2.0) | file LICENSE" NA
## vctrs "MIT + file LICENSE" NA
## viridisLite "MIT + file LICENSE" NA
## vroom "MIT + file LICENSE" NA
## withr "MIT + file LICENSE" NA
## writexl "BSD_2_clause + file LICENSE" NA
## xfun "MIT + file LICENSE" NA
## yaml "BSD_3_clause + file LICENSE" NA
## zoo "GPL-2 | GPL-3" NA
## base "Part of R 4.6.1" NA
## boot "Unlimited" NA
## class "GPL-2 | GPL-3" NA
## cluster "GPL (>= 2)" NA
## codetools "GPL" NA
## compiler "Part of R 4.6.1" NA
## datasets "Part of R 4.6.1" NA
## foreign "GPL (>= 2)" NA
## graphics "Part of R 4.6.1" NA
## grDevices "Part of R 4.6.1" NA
## grid "Part of R 4.6.1" NA
## KernSmooth "Unlimited" NA
## lattice "GPL (>= 2)" NA
## MASS "GPL-2 | GPL-3" NA
## Matrix "GPL (>= 2) | file LICENCE" NA
## methods "Part of R 4.6.1" NA
## mgcv "GPL (>= 2)" NA
## nlme "GPL (>= 2)" NA
## nnet "GPL-2 | GPL-3" NA
## parallel "Part of R 4.6.1" NA
## rpart "GPL-2 | GPL-3" NA
## spatial "GPL-2 | GPL-3" NA
## splines "Part of R 4.6.1" NA
## stats "Part of R 4.6.1" NA
## stats4 "Part of R 4.6.1" NA
## survival "LGPL (>= 2)" NA
## tcltk "Part of R 4.6.1" NA
## tools "Part of R 4.6.1" NA
## utils "Part of R 4.6.1" NA
## License_restricts_use OS_type MD5sum NeedsCompilation
## abind NA NA NA "no"
## backports NA NA NA "yes"
## base64enc NA NA NA "yes"
## bit NA NA NA "yes"
## bit64 NA NA NA "yes"
## broom NA NA NA "no"
## bslib NA NA NA "no"
## cachem NA NA NA "yes"
## car NA NA NA "no"
## carData NA NA NA "no"
## cellranger NA NA NA "no"
## checkmate NA NA NA "yes"
## cli NA NA NA "yes"
## clipr NA NA NA "no"
## colorspace NA NA NA "yes"
## cowplot NA NA NA "no"
## cpp11 NA NA NA "no"
## crayon NA NA NA "no"
## data.table NA NA NA "yes"
## DBI NA NA NA "no"
## Deriv NA NA NA "yes"
## digest NA NA NA "yes"
## doBy NA NA NA "no"
## dplyr NA NA NA "yes"
## e1071 NA NA NA "yes"
## effects NA NA NA "no"
## estimability NA NA NA "no"
## evaluate NA NA NA "no"
## farver NA NA NA "yes"
## fastmap NA NA NA "yes"
## fontawesome NA NA NA "no"
## forcats NA NA NA "no"
## forecast NA NA NA "yes"
## Formula NA NA NA "no"
## fracdiff NA NA NA "yes"
## fs NA NA NA "yes"
## generics NA NA NA "no"
## ggplot2 NA NA NA "no"
## glue NA NA NA "yes"
## gridExtra NA NA NA "no"
## gtable NA NA NA "no"
## haven NA NA NA "yes"
## highr NA NA NA "no"
## Hmisc NA NA NA "yes"
## hms NA NA NA "no"
## htmlTable NA NA NA "no"
## htmltools NA NA NA "yes"
## htmlwidgets NA NA NA "no"
## insight NA NA NA "no"
## isoband NA NA NA "yes"
## jquerylib NA NA NA "no"
## jsonlite NA NA NA "yes"
## knitr NA NA NA "no"
## labeling NA NA NA "no"
## lifecycle NA NA NA "no"
## lme4 NA NA NA "yes"
## lmtest NA NA NA "yes"
## magrittr NA NA NA "yes"
## MASS NA NA NA "yes"
## MatrixModels NA NA NA "no"
## memoise NA NA NA "no"
## mime NA NA NA "yes"
## minqa NA NA NA "yes"
## mitools NA NA NA "no"
## modelr NA NA NA "no"
## nloptr NA NA NA "yes"
## nortest NA NA NA "no"
## numDeriv NA NA NA "no"
## pbkrtest NA NA NA "no"
## pillar NA NA NA "no"
## pkgconfig NA NA NA "no"
## prettyunits NA NA NA "no"
## progress NA NA NA "no"
## proxy NA NA NA "yes"
## purrr NA NA NA "yes"
## quantreg NA NA NA "yes"
## R6 NA NA NA "no"
## rappdirs NA NA NA "yes"
## rbibutils NA NA NA "yes"
## Rcmdr NA NA NA "no"
## RcmdrMisc NA NA NA "no"
## RColorBrewer NA NA NA "no"
## Rcpp NA NA NA "yes"
## RcppArmadillo NA NA NA "yes"
## RcppEigen NA NA NA "yes"
## Rdpack NA NA NA "no"
## readr NA NA NA "yes"
## readstata13 NA NA NA "yes"
## readxl NA NA NA "yes"
## reformulas NA NA NA "no"
## relimp NA NA NA "no"
## rematch NA NA NA "no"
## renv NA NA NA "no"
## rlang NA NA NA "yes"
## rmarkdown NA NA NA "no"
## rstudioapi NA NA NA "no"
## S7 NA NA NA "yes"
## sandwich NA NA NA "no"
## sass NA NA NA "yes"
## scales NA NA NA "no"
## SparseM NA NA NA "yes"
## stringi NA NA NA "yes"
## stringr NA NA NA "no"
## survey NA NA NA "yes"
## survival NA NA NA "yes"
## tcltk2 NA NA NA "no"
## TeachingDemos NA NA NA "no"
## tibble NA NA NA "yes"
## tidyr NA NA NA "yes"
## tidyselect NA NA NA "yes"
## timeDate NA NA NA "no"
## tinytex NA NA NA "no"
## tzdb NA NA NA "yes"
## urca NA NA NA "yes"
## utf8 NA NA NA "yes"
## vctrs NA NA NA "yes"
## viridisLite NA NA NA "no"
## vroom NA NA NA "yes"
## withr NA NA NA "no"
## writexl NA NA NA "yes"
## xfun NA NA NA "yes"
## yaml NA NA NA "yes"
## zoo NA NA NA "yes"
## base NA NA NA NA
## boot NA NA NA "no"
## class NA NA NA "yes"
## cluster NA NA NA "yes"
## codetools NA NA NA "no"
## compiler NA NA NA NA
## datasets NA NA NA NA
## foreign NA NA NA "yes"
## graphics NA NA NA "yes"
## grDevices NA NA NA "yes"
## grid NA NA NA "yes"
## KernSmooth NA NA NA "yes"
## lattice NA NA NA "yes"
## MASS NA NA NA "yes"
## Matrix NA NA NA "yes"
## methods NA NA NA "yes"
## mgcv NA NA NA "yes"
## nlme NA NA NA "yes"
## nnet NA NA NA "yes"
## parallel NA NA NA "yes"
## rpart NA NA NA "yes"
## spatial NA NA NA "yes"
## splines NA NA NA "yes"
## stats NA NA NA "yes"
## stats4 NA NA NA NA
## survival NA NA NA "yes"
## tcltk NA NA NA "yes"
## tools NA NA NA "yes"
## utils NA NA NA "yes"
## Built
## abind "R 4.6.0; ; 2026-09-25 01:29:58 UTC; unix"
## backports "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:32:50 UTC; unix"
## base64enc "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:29:58 UTC; unix"
## bit "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:32:53 UTC; unix"
## bit64 "R 4.6.0; aarch64-apple-darwin20; 2026-09-24 05:28:53 UTC; unix"
## broom "R 4.6.0; ; 2026-09-25 01:43:30 UTC; unix"
## bslib "R 4.6.0; ; 2026-09-24 11:31:31 UTC; unix"
## cachem "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:32:18 UTC; unix"
## car "R 4.6.0; ; 2026-09-25 01:50:12 UTC; unix"
## carData "R 4.6.0; ; 2026-09-25 01:29:58 UTC; unix"
## cellranger "R 4.6.0; ; 2026-09-24 21:08:29 UTC; unix"
## checkmate "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:33:25 UTC; unix"
## cli "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:29:59 UTC; unix"
## clipr "R 4.6.0; ; 2026-09-25 01:32:25 UTC; unix"
## colorspace "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:32:21 UTC; unix"
## cowplot "R 4.6.0; ; 2026-09-25 01:36:48 UTC; unix"
## cpp11 "R 4.6.0; ; 2026-09-25 01:32:04 UTC; unix"
## crayon "R 4.6.0; ; 2026-09-25 01:32:02 UTC; unix"
## data.table "R 4.6.0; aarch64-apple-darwin20; 2026-09-24 09:05:27 UTC; unix"
## DBI "R 4.6.0; ; 2026-09-25 01:29:59 UTC; unix"
## Deriv "R 4.6.0; aarch64-apple-darwin20; 2026-09-24 05:29:18 UTC; unix"
## digest "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:29:58 UTC; unix"
## doBy "R 4.6.0; ; 2026-09-25 01:46:15 UTC; unix"
## dplyr "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:39:13 UTC; unix"
## e1071 "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:35:16 UTC; unix"
## effects "R 4.6.0; ; 2026-04-28 22:04:05 UTC; unix"
## estimability "R 4.6.0; ; 2026-09-25 01:29:58 UTC; unix"
## evaluate "R 4.6.0; ; 2026-09-25 01:32:54 UTC; unix"
## farver "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:29:57 UTC; unix"
## fastmap "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:29:57 UTC; unix"
## fontawesome "R 4.6.0; ; 2026-09-25 01:34:27 UTC; unix"
## forcats "R 4.6.0; ; 2026-09-25 01:38:59 UTC; unix"
## forecast "R 4.6.0; aarch64-apple-darwin20; 2026-09-24 02:23:21 UTC; unix"
## Formula "R 4.6.0; ; 2026-09-24 11:26:47 UTC; unix"
## fracdiff "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:32:33 UTC; unix"
## fs "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:32:35 UTC; unix"
## generics "R 4.6.0; ; 2026-09-25 01:32:23 UTC; unix"
## ggplot2 "R 4.6.0; ; 2026-09-25 01:35:14 UTC; unix"
## glue "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:29:58 UTC; unix"
## gridExtra "R 4.6.0; ; 2026-09-25 01:35:47 UTC; unix"
## gtable "R 4.6.0; ; 2026-09-25 01:34:23 UTC; unix"
## haven "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:44:22 UTC; unix"
## highr "R 4.6.0; ; 2026-09-25 01:30:54 UTC; unix"
## Hmisc "R 4.6.0; aarch64-apple-darwin20; 2026-09-24 05:40:18 UTC; unix"
## hms "R 4.6.0; ; 2026-09-25 01:37:37 UTC; unix"
## htmlTable "R 4.6.0; ; 2026-09-25 01:41:20 UTC; unix"
## htmltools "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:32:20 UTC; unix"
## htmlwidgets "R 4.6.0; ; 2026-09-25 01:38:57 UTC; unix"
## insight "R 4.6.0; ; 2026-09-24 02:10:28 UTC; unix"
## isoband "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:34:04 UTC; unix"
## jquerylib "R 4.6.0; ; 2026-09-25 01:34:39 UTC; unix"
## jsonlite "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:29:58 UTC; unix"
## knitr "R 4.6.0; ; 2026-09-24 05:31:31 UTC; unix"
## labeling "R 4.6.0; ; 2026-09-25 01:32:20 UTC; unix"
## lifecycle "R 4.6.0; ; 2026-09-25 01:32:34 UTC; unix"
## lme4 "R 4.6.0; aarch64-apple-darwin20; 2026-09-24 12:42:51 UTC; unix"
## lmtest "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:35:22 UTC; unix"
## magrittr "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:32:24 UTC; unix"
## MASS "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:32:56 UTC; unix"
## MatrixModels "R 4.6.0; ; 2026-09-25 01:37:12 UTC; unix"
## memoise "R 4.6.0; ; 2026-09-25 01:32:46 UTC; unix"
## mime "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:32:02 UTC; unix"
## minqa "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:33:19 UTC; unix"
## mitools "R 4.6.0; ; 2026-09-24 05:27:25 UTC; unix"
## modelr "R 4.6.0; ; 2026-09-25 01:44:42 UTC; unix"
## nloptr "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:32:40 UTC; unix"
## nortest "R 4.6.0; ; 2026-06-17 18:42:54 UTC; unix"
## numDeriv "R 4.6.0; ; 2026-09-25 01:32:45 UTC; unix"
## pbkrtest "R 4.6.0; ; 2026-09-25 01:48:19 UTC; unix"
## pillar "R 4.6.0; ; 2026-09-25 01:35:30 UTC; unix"
## pkgconfig "R 4.6.0; ; 2026-09-25 01:32:46 UTC; unix"
## prettyunits "R 4.6.0; ; 2026-09-25 01:33:06 UTC; unix"
## progress "R 4.6.0; ; 2026-09-25 01:39:18 UTC; unix"
## proxy "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:34:02 UTC; unix"
## purrr "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:35:53 UTC; unix"
## quantreg "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:37:51 UTC; unix"
## R6 "R 4.6.0; ; 2026-09-25 01:32:21 UTC; unix"
## rappdirs "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:33:05 UTC; unix"
## rbibutils "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:33:06 UTC; unix"
## Rcmdr "R 4.6.0; ; 2026-09-26 04:34:11 UTC; unix"
## RcmdrMisc "R 4.6.0; ; 2026-06-17 05:46:47 UTC; unix"
## RColorBrewer "R 4.6.0; ; 2026-09-25 01:29:58 UTC; unix"
## Rcpp "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:32:19 UTC; unix"
## RcppArmadillo "R 4.6.0; aarch64-apple-darwin20; 2026-09-24 04:54:36 UTC; unix"
## RcppEigen "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:34:21 UTC; unix"
## Rdpack "R 4.6.0; ; 2026-09-25 01:33:36 UTC; unix"
## readr "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:42:55 UTC; unix"
## readstata13 "R 4.6.0; aarch64-apple-darwin20; 2026-07-06 14:53:52 UTC; unix"
## readxl "R 4.6.0; aarch64-apple-darwin20; 2026-09-23 04:15:20 UTC; unix"
## reformulas "R 4.6.0; ; 2026-09-25 01:36:45 UTC; unix"
## relimp "R 4.6.0; ; 2026-06-17 18:47:00 UTC; unix"
## rematch "R 4.6.0; ; 2026-09-24 21:06:17 UTC; unix"
## renv "R 4.6.1; ; 2026-09-29 16:27:17 UTC; unix"
## rlang "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:31:50 UTC; unix"
## rmarkdown "R 4.6.1; ; 2026-10-03 16:48:15 UTC; unix"
## rstudioapi "R 4.6.0; ; 2026-09-25 01:32:58 UTC; unix"
## S7 "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:32:32 UTC; unix"
## sandwich "R 4.6.0; ; 2026-09-24 10:44:43 UTC; unix"
## sass "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:33:55 UTC; unix"
## scales "R 4.6.0; ; 2026-09-25 01:33:36 UTC; unix"
## SparseM "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:29:58 UTC; unix"
## stringi "R 4.6.0; aarch64-apple-darwin20; 2026-09-24 10:43:16 UTC; unix"
## stringr "R 4.6.0; ; 2026-09-25 01:36:00 UTC; unix"
## survey "R 4.6.0; aarch64-apple-darwin20; 2026-09-24 02:11:09 UTC; unix"
## survival "R 4.6.0; aarch64-apple-darwin20; 2026-09-24 03:49:45 UTC; unix"
## tcltk2 "R 4.6.0; ; 2026-04-28 22:04:52 UTC; unix"
## TeachingDemos "R 4.6.0; ; 2026-09-24 21:13:11 UTC; unix"
## tibble "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:37:04 UTC; unix"
## tidyr "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:41:38 UTC; unix"
## tidyselect "R 4.6.0; ; 2026-09-25 01:35:42 UTC; unix"
## timeDate "R 4.6.0; ; 2026-09-25 01:32:02 UTC; unix"
## tinytex "R 4.6.0; ; 2026-09-24 02:43:17 UTC; unix"
## tzdb "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:32:27 UTC; unix"
## urca "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:33:21 UTC; unix"
## utf8 "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:33:36 UTC; unix"
## vctrs "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:34:28 UTC; unix"
## viridisLite "R 4.6.0; ; 2026-09-25 01:32:18 UTC; unix"
## vroom "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:40:58 UTC; unix"
## withr "R 4.6.0; ; 2026-09-25 01:30:56 UTC; unix"
## writexl "R 4.6.0; aarch64-apple-darwin20; 2026-08-22 05:02:17 UTC; unix"
## xfun "R 4.6.0; aarch64-apple-darwin20; 2026-09-24 03:01:36 UTC; unix"
## yaml "R 4.6.0; aarch64-apple-darwin20; 2026-09-25 01:30:57 UTC; unix"
## zoo "R 4.6.0; aarch64-apple-darwin20; 2026-09-26 04:30:27 UTC; unix"
## base "R 4.6.1; ; 2026-06-25 21:53:52 UTC; unix"
## boot "R 4.6.1; ; 2026-06-25 21:54:42 UTC; unix"
## class "R 4.6.1; aarch64-apple-darwin23; 2026-06-25 21:54:10 UTC; unix"
## cluster "R 4.6.1; aarch64-apple-darwin23; 2026-06-25 21:54:10 UTC; unix"
## codetools "R 4.6.1; ; 2026-06-25 21:54:07 UTC; unix"
## compiler "R 4.6.1; ; 2026-06-25 21:53:16 UTC; unix"
## datasets "R 4.6.1; ; 2026-06-25 21:53:43 UTC; unix"
## foreign "R 4.6.1; aarch64-apple-darwin23; 2026-06-25 21:54:07 UTC; unix"
## graphics "R 4.6.1; aarch64-apple-darwin23; 2026-06-25 21:53:33 UTC; unix"
## grDevices "R 4.6.1; aarch64-apple-darwin23; 2026-06-25 21:53:30 UTC; unix"
## grid "R 4.6.1; aarch64-apple-darwin23; 2026-06-25 21:53:49 UTC; unix"
## KernSmooth "R 4.6.1; aarch64-apple-darwin23; 2026-06-25 21:54:07 UTC; unix"
## lattice "R 4.6.1; aarch64-apple-darwin23; 2026-06-25 21:54:07 UTC; unix"
## MASS "R 4.6.1; aarch64-apple-darwin23; 2026-06-25 21:54:07 UTC; unix"
## Matrix "R 4.6.1; aarch64-apple-darwin23; 2026-06-25 21:54:11 UTC; unix"
## methods "R 4.6.1; aarch64-apple-darwin23; 2026-06-25 21:53:44 UTC; unix"
## mgcv "R 4.6.1; aarch64-apple-darwin23; 2026-06-25 21:54:32 UTC; unix"
## nlme "R 4.6.1; aarch64-apple-darwin23; 2026-06-25 21:54:11 UTC; unix"
## nnet "R 4.6.1; aarch64-apple-darwin23; 2026-06-25 21:54:07 UTC; unix"
## parallel "R 4.6.1; aarch64-apple-darwin23; 2026-06-25 21:53:52 UTC; unix"
## rpart "R 4.6.1; aarch64-apple-darwin23; 2026-06-25 21:54:07 UTC; unix"
## spatial "R 4.6.1; aarch64-apple-darwin23; 2026-06-25 21:54:07 UTC; unix"
## splines "R 4.6.1; aarch64-apple-darwin23; 2026-06-25 21:53:51 UTC; unix"
## stats "R 4.6.1; aarch64-apple-darwin23; 2026-06-25 21:53:35 UTC; unix"
## stats4 "R 4.6.1; ; 2026-06-25 21:53:51 UTC; unix"
## survival "R 4.6.1; aarch64-apple-darwin23; 2026-06-25 21:54:33 UTC; unix"
## tcltk "R 4.6.1; aarch64-apple-darwin23; 2026-06-25 21:53:51 UTC; unix"
## tools "R 4.6.1; aarch64-apple-darwin23; 2026-06-25 21:53:16 UTC; unix"
## utils "R 4.6.1; aarch64-apple-darwin23; 2026-06-25 21:53:27 UTC; unix"
## Published
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## foreign NA
## graphics NA
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## lattice NA
## MASS NA
## Matrix NA
## methods NA
## mgcv NA
## nlme NA
## nnet NA
## parallel NA
## rpart NA
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## splines NA
## stats NA
## stats4 NA
## survival NA
## tcltk NA
## tools NA
## utils NAInstalación de MASS
El paquete MASS puede instalarse mediante
install.packages("MASS")
install.packages("MASS")## The following package(s) will be installed:
## - MASS [7.3-66]
## These packages will be installed into "~/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23".
##
## # Installing packages --------------------------------------------------------
## [32m✔[0m MASS 7.3-66 [linked from cache]
## Successfully installed 1 package in 1.4 milliseconds.Información sobre MASS
help(package = "MASS")Instalación de survival
install.packages("survival")## The following package(s) will be installed:
## - survival [3.8-12]
## These packages will be installed into "~/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23".
##
## # Installing packages --------------------------------------------------------
## [32m✔[0m survival 3.8-12 [linked from cache]
## Successfully installed 1 package in 1.2 milliseconds.Información sobre survival
help(package = "survival")Información sobre Rcmdr
help(package = "Rcmdr")Ejercicio 2
Importad un archivo de texto y buscad un summary() de tres variables que escojáis.
Importad un archivo «.csv» y buscad un fivenum() de dos variables que os parezcan relevantes para el estudio.
Se utiliza el dataset Auto MPG del UCI Machine Learning Repository,
que contiene información sobre consumo y características de automóviles.
if (!dir.exists("data")) {
dir.create("data")
}
url <- "https://archive.ics.uci.edu/ml/machine-learning-databases/auto-mpg/auto-mpg.data"
if (!file.exists("data/auto-mpg.txt")) {
download.file(
url,
destfile = "data/auto-mpg.txt"
)
}Importamos los datos:
columnas <- c(
"mpg", "cylinders", "displacement", "horsepower",
"weight", "acceleration", "model_year",
"origin", "car_name"
)
autos <- read.table(
"data/auto-mpg.txt",
header = FALSE,
col.names = columnas,
na.strings = "?"
)
head(autos)## mpg cylinders displacement horsepower weight acceleration model_year origin
## 1 18 8 307 130 3504 12.0 70 1
## 2 15 8 350 165 3693 11.5 70 1
## 3 18 8 318 150 3436 11.0 70 1
## 4 16 8 304 150 3433 12.0 70 1
## 5 17 8 302 140 3449 10.5 70 1
## 6 15 8 429 198 4341 10.0 70 1
## car_name
## 1 chevrolet chevelle malibu
## 2 buick skylark 320
## 3 plymouth satellite
## 4 amc rebel sst
## 5 ford torino
## 6 ford galaxie 500Seleccionamos las variables mpg, horsepower
y weight:
summary(autos[c("mpg", "horsepower", "weight")])## mpg horsepower weight
## Min. : 9.00 Min. : 46.0 Min. :1613
## 1st Qu.:17.50 1st Qu.: 75.0 1st Qu.:2224
## Median :23.00 Median : 93.5 Median :2804
## Mean :23.51 Mean :104.5 Mean :2970
## 3rd Qu.:29.00 3rd Qu.:126.0 3rd Qu.:3608
## Max. :46.60 Max. :230.0 Max. :5140
## NAs :6b) Importación de un archivo CSV
Descargamos el dataset Auto MPG en formato CSV:
url_csv <- "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/mpg.csv"
if (!file.exists("data/mpg.csv")) {
download.file(
url_csv,
destfile = "data/mpg.csv"
)
}Importamos el archivo CSV:
autos_csv <- read.csv("data/mpg.csv")Comprobamos los datos importados:
head(autos_csv)## mpg cylinders displacement horsepower weight acceleration model_year origin
## 1 18 8 307 130 3504 12.0 70 usa
## 2 15 8 350 165 3693 11.5 70 usa
## 3 18 8 318 150 3436 11.0 70 usa
## 4 16 8 304 150 3433 12.0 70 usa
## 5 17 8 302 140 3449 10.5 70 usa
## 6 15 8 429 198 4341 10.0 70 usa
## name
## 1 chevrolet chevelle malibu
## 2 buick skylark 320
## 3 plymouth satellite
## 4 amc rebel sst
## 5 ford torino
## 6 ford galaxie 500Consultamos los nombres de las variables:
names(autos_csv)## [1] "mpg" "cylinders" "displacement" "horsepower" "weight"
## [6] "acceleration" "model_year" "origin" "name"hacemos fivenum() de dos variables:
fivenum(autos_csv$mpg)## [1] 9.0 17.5 23.0 29.0 46.6fivenum(autos_csv$weight)## [1] 1613.0 2223.0 2803.5 3609.0 5140.0Ejercicio 3:
A partir del conjunto de datos anorexia del paquete MASS, que corresponden a los datos de cambio de peso de pacientes jóvenes con anorexia, mostrad los tipos de datos que contiene y comprobad si existen valores NA y NULL. Para la variable Treat, transformad los valores «CBT», «Cont» y «FT» en «Cogn Beh Tr», «Contr» y «Fam Tr», respectivamente.
Cargamos el paquete MASS y el conjunto de datos
anorexia.
library(MASS)data("anorexia")head(anorexia)## Treat Prewt Postwt
## 1 Cont 80.7 80.2
## 2 Cont 89.4 80.1
## 3 Cont 91.8 86.4
## 4 Cont 74.0 86.3
## 5 Cont 78.1 76.1
## 6 Cont 88.3 78.1Comprobamos la estructura del conjunto de datos:
str(anorexia)## 'data.frame': 72 obs. of 3 variables:
## $ Treat : Factor w/ 3 levels "CBT","Cont","FT": 2 2 2 2 2 2 2 2 2 2 ...
## $ Prewt : num 80.7 89.4 91.8 74 78.1 88.3 87.3 75.1 80.6 78.4 ...
## $ Postwt: num 80.2 80.1 86.4 86.3 76.1 78.1 75.1 86.7 73.5 84.6 ...Comprobación de valores NA
is.na(anorexia)## Treat Prewt Postwt
## 1 FALSE FALSE FALSE
## 2 FALSE FALSE FALSE
## 3 FALSE FALSE FALSE
## 4 FALSE FALSE FALSE
## 5 FALSE FALSE FALSE
## 6 FALSE FALSE FALSE
## 7 FALSE FALSE FALSE
## 8 FALSE FALSE FALSE
## 9 FALSE FALSE FALSE
## 10 FALSE FALSE FALSE
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## 64 FALSE FALSE FALSE
## 65 FALSE FALSE FALSE
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## 67 FALSE FALSE FALSE
## 68 FALSE FALSE FALSE
## 69 FALSE FALSE FALSE
## 70 FALSE FALSE FALSE
## 71 FALSE FALSE FALSE
## 72 FALSE FALSE FALSEverificamos el numero de valores NA
sum(is.na(anorexia))## [1] 0Comprobación de valores NULL
is.null(anorexia)## [1] FALSEverificamos el numero de valores NA
sum(is.null(anorexia))## [1] 0Comprobamos primero los valores de la variable Treat:
levels(anorexia$Treat)## [1] "CBT" "Cont" "FT"Renombramos los niveles:
anorexia$Treat <- factor(
anorexia$Treat,
levels = c("CBT", "Cont", "FT"),
labels = c("Cogn Beh Tr", "Contr", "Fam Tr")
)Comprobamos el resultado:
levels(anorexia$Treat)## [1] "Cogn Beh Tr" "Contr" "Fam Tr"Ejercicio 4:
- Exportad los datos biopsy del paquete MASS a un archivo «.csv»
library(MASS)data("biopsy")head(biopsy)## ID V1 V2 V3 V4 V5 V6 V7 V8 V9 class
## 1 1000025 5 1 1 1 2 1 3 1 1 benign
## 2 1002945 5 4 4 5 7 10 3 2 1 benign
## 3 1015425 3 1 1 1 2 2 3 1 1 benign
## 4 1016277 6 8 8 1 3 4 3 7 1 benign
## 5 1017023 4 1 1 3 2 1 3 1 1 benign
## 6 1017122 8 10 10 8 7 10 9 7 1 malignantExportamos el dataset en formato CSV:
if (!dir.exists("data")) {
dir.create("data")
}
write.csv(
biopsy,
file = "data/biopsy.csv",
row.names = FALSE
)
file.exists("data/biopsy.csv")## [1] TRUE- Exportad los datos melanoma del paquete MASS a archivos de tres diferentes formatos y comprobad que se han creado los diferentes archivos en los formatos y las rutas especificados. Podéis generar una captura de pantalla de su ubicación en la carpeta.
Cargamos el dataset:
data("Melanoma")
head(Melanoma)## time status sex age year thickness ulcer
## 1 10 3 1 76 1972 6.76 1
## 2 30 3 1 56 1968 0.65 0
## 3 35 2 1 41 1977 1.34 0
## 4 99 3 0 71 1968 2.90 0
## 5 185 1 1 52 1965 12.08 1
## 6 204 1 1 28 1971 4.84 1como queremos exporta a excel necesitamos “writexl”
renv::install("writexl")## The following package(s) will be installed:
## - writexl [2.0.1]
## These packages will be installed into "~/Work/r-learning/renv/library/macos/R-4.6/aarch64-apple-darwin23".
##
## # Installing packages --------------------------------------------------------
## [32m✔[0m writexl 2.0.1 [linked from cache]
## Successfully installed 1 package in 1.2 milliseconds.Exportamos los datos en tres formatos diferentes:
write.csv(
Melanoma,
"data/melanoma.csv",
row.names = FALSE
)
write.table(
Melanoma,
"data/melanoma.txt",
row.names = FALSE
)
writexl::write_xlsx(
Melanoma,
"data/melanoma.xlsx"
)Comprobamos que los archivos han sido creados:
archivos <- c(
"data/melanoma.csv",
"data/melanoma.txt",
"data/melanoma.xlsx"
)
file.exists(archivos)## [1] TRUE TRUE TRUEMostramos las rutas donde se han creado los archivos:
normalizePath(archivos)## [1] "/Users/pedro/Work/r-learning/data/melanoma.csv"
## [2] "/Users/pedro/Work/r-learning/data/melanoma.txt"
## [3] "/Users/pedro/Work/r-learning/data/melanoma.xlsx"- Generad un resumen (summary) de la variable age de melanoma y guardad la salida que os aparece en un documento .doc
mostramos el summary:
summary(Melanoma$age)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 4.00 42.00 54.00 52.46 65.00 95.00Ahora guardamos el resultado:
age_summary <- summary(Melanoma$age)
capture.output(
age_summary,
file = "data/melanoma_age_summary.doc"
)comprobamos que se ha creado:
file.exists("data/melanoma_age_summary.doc")## [1] TRUE- Buscad un data frame en algún repositorio de datos de Biomedicina, descargad un conjunto de datos en «.csv» e importad este fichero a un documento R Markdown usando el código o el menú de importación de **RStudio*
Descarga del dataset:
Primero comprobamos si existe la carpeta data. Si no
existe, la creamos.
if (!dir.exists("data")) {
dir.create("data")
}Definimos la URL y la ruta donde guardaremos el archivo:
url <- paste0(
"https://rioultf.users.greyc.fr/uci/files/",
"breast-cancer-wisconsin/",
"breast-cancer-wisconsin.csv"
)
archivo <- "data/breast_cancer.csv"Descargamos el archivo únicamente si todavía no existe:
if (!file.exists(archivo)) {
download.file(
url,
destfile = archivo,
mode = "wb"
)
}Comprobamos que el archivo existe y mostramos su ubicación:
file.exists(archivo)## [1] TRUEnormalizePath(archivo)## [1] "/Users/pedro/Work/r-learning/data/breast_cancer.csv"Importación del archivo CSV
Importamos el archivo como un data.frame:
breast_cancer <- read.csv(archivo)Comprobamos que los datos se han importado correctamente:
head(breast_cancer)## X2 X5 X1 X1.1 X1.2 X2.1 X1.3 X3 X1.4 X1.5
## 1 2 5 4 4 5 7 10 3 2 1
## 2 2 3 1 1 1 2 2 3 1 1
## 3 2 6 8 8 1 3 4 3 7 1
## 4 2 4 1 1 3 2 1 3 1 1
## 5 4 8 10 10 8 7 10 9 7 1
## 6 2 1 1 1 1 2 10 3 1 1dim(breast_cancer)## [1] 698 10str(breast_cancer)## 'data.frame': 698 obs. of 10 variables:
## $ X2 : int 2 2 2 2 4 2 2 2 2 2 ...
## $ X5 : int 5 3 6 4 8 1 2 2 4 1 ...
## $ X1 : int 4 1 8 1 10 1 1 1 2 1 ...
## $ X1.1: int 4 1 8 1 10 1 2 1 1 1 ...
## $ X1.2: int 5 1 1 3 8 1 1 1 1 1 ...
## $ X2.1: int 7 2 3 2 7 2 2 2 2 1 ...
## $ X1.3: chr "10" "2" "4" "1" ...
## $ X3 : int 3 3 3 3 9 3 3 1 2 3 ...
## $ X1.4: int 2 1 7 1 7 1 1 1 1 1 ...
## $ X1.5: int 1 1 1 1 1 1 1 5 1 1 ...Ejercicio 5:
En el siguiente ejemplo veremos cómo utilizar diferentes operadores sobre el conjunto de datos birthwt, así como también algunas funciones que nos permiten obtener más información de las variables:
- ¿Cuál es la edad máxima de las madres del conjunto de datos?
- ¿Cuál es la edad mínima de las madres del conjunto de datos?
- ¿Cuál es el rango de edad de las madres?
- ¿Fumaba la madre cuyo recién nacido era el de menor peso?
- ¿Cuánto pesó el recién nacido cuya madre tenía la edad máxima?
- Listad los pesos de los recién nacidos, cuyas madres visitarán menos de dos veces al médico durante el primer trimestre.
Cargamos el conjunto de datos birthwt del paquete
MASS.
data("birthwt", package = "MASS")
head(birthwt)## low age lwt race smoke ptl ht ui ftv bwt
## 85 0 19 182 2 0 0 0 1 0 2523
## 86 0 33 155 3 0 0 0 0 3 2551
## 87 0 20 105 1 1 0 0 0 1 2557
## 88 0 21 108 1 1 0 0 1 2 2594
## 89 0 18 107 1 1 0 0 1 0 2600
## 91 0 21 124 3 0 0 0 0 0 2622Comprobamos la estructura y los nombres de las variables:
str(birthwt)## 'data.frame': 189 obs. of 10 variables:
## $ low : int 0 0 0 0 0 0 0 0 0 0 ...
## $ age : int 19 33 20 21 18 21 22 17 29 26 ...
## $ lwt : int 182 155 105 108 107 124 118 103 123 113 ...
## $ race : int 2 3 1 1 1 3 1 3 1 1 ...
## $ smoke: int 0 0 1 1 1 0 0 0 1 1 ...
## $ ptl : int 0 0 0 0 0 0 0 0 0 0 ...
## $ ht : int 0 0 0 0 0 0 0 0 0 0 ...
## $ ui : int 1 0 0 1 1 0 0 0 0 0 ...
## $ ftv : int 0 3 1 2 0 0 1 1 1 0 ...
## $ bwt : int 2523 2551 2557 2594 2600 2622 2637 2637 2663 2665 ...names(birthwt)## [1] "low" "age" "lwt" "race" "smoke" "ptl" "ht" "ui" "ftv"
## [10] "bwt"- ¿Cuál es la edad máxima de las madres?
max(birthwt$age)## [1] 45- ¿Cuál es la edad mínima de las madres?
min(birthwt$age)## [1] 14- Rango de edad
range(birthwt$age)## [1] 14 45- ¿Fumaba la madre cuyo recién nacido era el de menor peso?
Buscamos el menor peso:
min(birthwt$bwt)## [1] 709Comprobamos el valor de smoke para la madre
correspondiente:
birthwt$smoke[birthwt$bwt == min(birthwt$bwt)]## [1] 1El resultado es 1, por lo que la madre sí
fumaba.
- ¿Cuánto pesó el recién nacido cuya madre tenía la edad máxima?
Buscamos la edad máxima de las madres:
max(birthwt$age)## [1] 45Obtenemos el peso del recién nacido cuya madre tenía esa edad:
birthwt$bwt[birthwt$age == max(birthwt$age)]## [1] 4990El recién nacido pesó 4990 gramos (4,99 kg).
- Listad los pesos de los recién nacidos cuyas madres visitaron menos de dos veces al médico durante el primer trimestre
Seleccionamos los pesos (bwt) de los recién nacidos
cuyas madres realizaron menos de dos visitas
(ftv < 2):
birthwt$bwt[birthwt$ftv < 2]## [1] 2523 2557 2600 2622 2637 2637 2663 2665 2722 2733 2751 2769 2769 2778 2807
## [16] 2821 2836 2863 2877 2906 2920 2920 2920 2948 2948 2977 2977 2922 3033 3062
## [31] 3062 3062 3062 3090 3090 3100 3104 3132 3175 3175 3203 3203 3203 3225 3225
## [46] 3232 3234 3260 3274 3317 3317 3331 3374 3374 3402 3416 3444 3459 3460 3473
## [61] 3544 3487 3544 3572 3572 3586 3600 3614 3614 3629 3637 3643 3651 3651 3651
## [76] 3651 3699 3728 3756 3770 3770 3770 3790 3799 3827 3884 3912 3940 3941 3941
## [91] 3969 3997 3997 4054 4054 4111 4174 4238 4593 4990 709 1135 1330 1474 1588
## [106] 1588 1701 1729 1790 1818 1885 1893 1899 1928 1936 1970 2055 2055 2084 2084
## [121] 2100 2125 2187 2187 2211 2225 2240 2240 2282 2296 2296 2325 2353 2353 2367
## [136] 2381 2381 2381 2410 2410 2410 2424 2442 2466 2466 2495 2495Ejercicio 6:
A partir del conjunto de datos anorexia trabajado en apartados anteriores, cread una matriz que tenga como columnas los valores de Prewt y Postwt, y cada fila sean los valores correspondientes para cada posición
matriz_pesos <- cbind(
Prewt = anorexia$Prewt,
Postwt = anorexia$Postwt
)
matriz_pesos## Prewt Postwt
## [1,] 80.7 80.2
## [2,] 89.4 80.1
## [3,] 91.8 86.4
## [4,] 74.0 86.3
## [5,] 78.1 76.1
## [6,] 88.3 78.1
## [7,] 87.3 75.1
## [8,] 75.1 86.7
## [9,] 80.6 73.5
## [10,] 78.4 84.6
## [11,] 77.6 77.4
## [12,] 88.7 79.5
## [13,] 81.3 89.6
## [14,] 78.1 81.4
## [15,] 70.5 81.8
## [16,] 77.3 77.3
## [17,] 85.2 84.2
## [18,] 86.0 75.4
## [19,] 84.1 79.5
## [20,] 79.7 73.0
## [21,] 85.5 88.3
## [22,] 84.4 84.7
## [23,] 79.6 81.4
## [24,] 77.5 81.2
## [25,] 72.3 88.2
## [26,] 89.0 78.8
## [27,] 80.5 82.2
## [28,] 84.9 85.6
## [29,] 81.5 81.4
## [30,] 82.6 81.9
## [31,] 79.9 76.4
## [32,] 88.7 103.6
## [33,] 94.9 98.4
## [34,] 76.3 93.4
## [35,] 81.0 73.4
## [36,] 80.5 82.1
## [37,] 85.0 96.7
## [38,] 89.2 95.3
## [39,] 81.3 82.4
## [40,] 76.5 72.5
## [41,] 70.0 90.9
## [42,] 80.4 71.3
## [43,] 83.3 85.4
## [44,] 83.0 81.6
## [45,] 87.7 89.1
## [46,] 84.2 83.9
## [47,] 86.4 82.7
## [48,] 76.5 75.7
## [49,] 80.2 82.6
## [50,] 87.8 100.4
## [51,] 83.3 85.2
## [52,] 79.7 83.6
## [53,] 84.5 84.6
## [54,] 80.8 96.2
## [55,] 87.4 86.7
## [56,] 83.8 95.2
## [57,] 83.3 94.3
## [58,] 86.0 91.5
## [59,] 82.5 91.9
## [60,] 86.7 100.3
## [61,] 79.6 76.7
## [62,] 76.9 76.8
## [63,] 94.2 101.6
## [64,] 73.4 94.9
## [65,] 80.5 75.2
## [66,] 81.6 77.8
## [67,] 82.1 95.5
## [68,] 77.6 90.7
## [69,] 83.5 92.5
## [70,] 89.9 93.8
## [71,] 86.0 91.7
## [72,] 87.3 98.0Ejercicio 7:
Copia el código siguiente en tu consola para generar un data frame con veinticinco registros y seis variables, y responde a los siguientes apartados:
Identificador <- c(
"I1","I2","I3","I4","I5","I6","I7","I8","I9","I10",
"I11","I12","I13","I14","I15","I16","I17","I18","I19","I20",
"I21","I22","I23","I24","I25"
)
Edad <- c(
23,24,21,22,23,25,26,24,21,22,
23,25,26,24,22,21,25,26,24,21,
25,27,26,22,29
)
Sexo <- c(
1,2,1,1,1,2,2,2,1,2,
1,2,2,2,1,1,1,2,2,2,
1,2,1,1,2
)
Peso <- c(
76.5,81.2,79.3,59.5,67.3,78.6,67.9,100.2,97.8,56.4,
65.4,67.5,87.4,99.7,87.6,93.4,65.4,73.7,85.1,61.2,
54.8,103.4,65.8,71.7,85.0
)
Alt <- c(
165,154,178,165,164,175,182,165,178,165,
158,183,184,164,189,167,182,179,165,158,
183,184,189,166,175
)
Fuma <- c(
"SÍ","NO","SÍ","SÍ","NO","NO","NO","SÍ","SÍ","SÍ",
"NO","NO","SÍ","SÍ","SÍ","SÍ","NO","NO","SÍ","SÍ",
"SÍ","NO","SÍ","NO","SÍ"
)
Trat_Pulmon <- data.frame(
Identificador,
Edad,
Sexo,
Peso,
Alt,
Fuma
)
Trat_Pulmon## Identificador Edad Sexo Peso Alt Fuma
## 1 I1 23 1 76.5 165 SÍ
## 2 I2 24 2 81.2 154 NO
## 3 I3 21 1 79.3 178 SÍ
## 4 I4 22 1 59.5 165 SÍ
## 5 I5 23 1 67.3 164 NO
## 6 I6 25 2 78.6 175 NO
## 7 I7 26 2 67.9 182 NO
## 8 I8 24 2 100.2 165 SÍ
## 9 I9 21 1 97.8 178 SÍ
## 10 I10 22 2 56.4 165 SÍ
## 11 I11 23 1 65.4 158 NO
## 12 I12 25 2 67.5 183 NO
## 13 I13 26 2 87.4 184 SÍ
## 14 I14 24 2 99.7 164 SÍ
## 15 I15 22 1 87.6 189 SÍ
## 16 I16 21 1 93.4 167 SÍ
## 17 I17 25 1 65.4 182 NO
## 18 I18 26 2 73.7 179 NO
## 19 I19 24 2 85.1 165 SÍ
## 20 I20 21 2 61.2 158 SÍ
## 21 I21 25 1 54.8 183 SÍ
## 22 I22 27 2 103.4 184 NO
## 23 I23 26 1 65.8 189 SÍ
## 24 I24 22 1 71.7 166 NO
## 25 I25 29 2 85.0 175 SÍ- Seleccionad los registros con edad > 22.
Trat_Pulmon[Trat_Pulmon$Edad > 22, ]## Identificador Edad Sexo Peso Alt Fuma
## 1 I1 23 1 76.5 165 SÍ
## 2 I2 24 2 81.2 154 NO
## 5 I5 23 1 67.3 164 NO
## 6 I6 25 2 78.6 175 NO
## 7 I7 26 2 67.9 182 NO
## 8 I8 24 2 100.2 165 SÍ
## 11 I11 23 1 65.4 158 NO
## 12 I12 25 2 67.5 183 NO
## 13 I13 26 2 87.4 184 SÍ
## 14 I14 24 2 99.7 164 SÍ
## 17 I17 25 1 65.4 182 NO
## 18 I18 26 2 73.7 179 NO
## 19 I19 24 2 85.1 165 SÍ
## 21 I21 25 1 54.8 183 SÍ
## 22 I22 27 2 103.4 184 NO
## 23 I23 26 1 65.8 189 SÍ
## 25 I25 29 2 85.0 175 SÍ- Seleccionad el elemento 3 de la columna 4 del conjunto de datos (contando el identificador).
Trat_Pulmon[3, 4]## [1] 79.3- Usad el comando subset() para seleccionar todas las filas que tienen una edad menor que 27 años y sin incluir la columna Alt.
Utilizamos la función subset():
subset(
Trat_Pulmon,
Edad < 27,
select = -Alt
)## Identificador Edad Sexo Peso Fuma
## 1 I1 23 1 76.5 SÍ
## 2 I2 24 2 81.2 NO
## 3 I3 21 1 79.3 SÍ
## 4 I4 22 1 59.5 SÍ
## 5 I5 23 1 67.3 NO
## 6 I6 25 2 78.6 NO
## 7 I7 26 2 67.9 NO
## 8 I8 24 2 100.2 SÍ
## 9 I9 21 1 97.8 SÍ
## 10 I10 22 2 56.4 SÍ
## 11 I11 23 1 65.4 NO
## 12 I12 25 2 67.5 NO
## 13 I13 26 2 87.4 SÍ
## 14 I14 24 2 99.7 SÍ
## 15 I15 22 1 87.6 SÍ
## 16 I16 21 1 93.4 SÍ
## 17 I17 25 1 65.4 NO
## 18 I18 26 2 73.7 NO
## 19 I19 24 2 85.1 SÍ
## 20 I20 21 2 61.2 SÍ
## 21 I21 25 1 54.8 SÍ
## 23 I23 26 1 65.8 SÍ
## 24 I24 22 1 71.7 NOEjercicio 8:
Incorporad el dataset ChickWeight que contiene información sobre el peso de 578 pollitos en gramos (weight), el tiempo desde la medición al nacer (Time), una variable identificadora de cada pollito (Chick) a partir del rango de peso y una variable factor con el tipo de dieta experimental que cada pollito recibió (Diet). a) Incorporad el conjunto de datos ChickWeight del paquete datasets a vuestro entorno b) c) de trabajo. Generad un gráfico de dispersión de la variable weight. Cread un diagrama de caja con la variable Time. Para más información sobre ChickWeight: https://rdrr.io/r/datasets/ChickWeight.html
- Incorporar el conjunto de datos ChickWeight:
Cargamos el conjunto de datos ChickWeight del paquete
datasets.
data("ChickWeight", package = "datasets")
head(ChickWeight)## weight Time Chick Diet
## 1 42 0 1 1
## 2 51 2 1 1
## 3 59 4 1 1
## 4 64 6 1 1
## 5 76 8 1 1
## 6 93 10 1 1Comprobamos su estructura y dimensiones:
str(ChickWeight)## Classes 'nfnGroupedData', 'nfGroupedData', 'groupedData' and 'data.frame': 578 obs. of 4 variables:
## $ weight: num 42 51 59 64 76 93 106 125 149 171 ...
## $ Time : num 0 2 4 6 8 10 12 14 16 18 ...
## $ Chick : Ord.factor w/ 50 levels "18"<"16"<"15"<..: 15 15 15 15 15 15 15 15 15 15 ...
## $ Diet : Factor w/ 4 levels "1","2","3","4": 1 1 1 1 1 1 1 1 1 1 ...
## - attr(*, "formula")=Class 'formula' language weight ~ Time | Chick
## .. ..- attr(*, ".Environment")=<environment: R_EmptyEnv>
## - attr(*, "outer")=Class 'formula' language ~Diet
## .. ..- attr(*, ".Environment")=<environment: R_EmptyEnv>
## - attr(*, "labels")=List of 2
## ..$ x: chr "Time"
## ..$ y: chr "Body weight"
## - attr(*, "units")=List of 2
## ..$ x: chr "(days)"
## ..$ y: chr "(gm)"dim(ChickWeight)## [1] 578 4- Gráfico de dispersión de la variable weight
Representamos el peso de los pollitos frente al índice de cada observación.
plot(
ChickWeight$weight,
main = "Gráfico de dispersión del peso de los pollitos",
xlab = "Índice de observación",
ylab = "Peso (gramos)",
pch = 19,
col = "blue"
)
- Diagrama de caja de la variable Time Representamos la distribución de los días transcurridos desde el nacimiento.
boxplot(
ChickWeight$Time,
main = "Diagrama de caja de Time",
ylab = "Días desde el nacimiento",
col = "lightblue"
)
Ejercicio 9:
A partir del conjunto de datos anorexia del paquete MASS, cread otro data frame que se llame anorexia_treat_df formado por Treat y por un vector nuevo calculado a partir de la diferencia Prewt-Postwt. De esta manera, nos quedará un data frame que contenga el tipo de tratamiento y el valor del peso ganado o perdido después de haber realizado el tratamiento. Seleccionad aquellos individuos que han ganado peso después del tratamiento y cread un nuevo conjunto llamado anorexia_treat_C_df que contenga solo los datos de aquellos que han seguido el tratamiento «Cont» y que han ganado peso después del tratamiento.
anorexia_treat_df <- data.frame(
Treat = anorexia$Treat,
diferencia_peso = anorexia$Prewt - anorexia$Postwt
)
head(anorexia_treat_df)## Treat diferencia_peso
## 1 Contr 0.5
## 2 Contr 9.3
## 3 Contr 5.4
## 4 Contr -12.3
## 5 Contr 2.0
## 6 Contr 10.2Selección de individuos que han ganado peso
anorexia_ganancia_df <- subset(
anorexia_treat_df,
diferencia_peso < 0
)
head(anorexia_ganancia_df)## Treat diferencia_peso
## 4 Contr -12.3
## 8 Contr -11.6
## 10 Contr -6.2
## 13 Contr -8.3
## 14 Contr -3.3
## 15 Contr -11.3Selección de individuos del tratamiento de control que han ganado peso
Utilizamos subset() para aplicar ambas condiciones.
anorexia_treat_C_df <- subset(
anorexia_treat_df,
Treat == "Contr" & diferencia_peso < 0
)
anorexia_treat_C_df## Treat diferencia_peso
## 4 Contr -12.3
## 8 Contr -11.6
## 10 Contr -6.2
## 13 Contr -8.3
## 14 Contr -3.3
## 15 Contr -11.3
## 21 Contr -2.8
## 22 Contr -0.3
## 23 Contr -1.8
## 24 Contr -3.7
## 25 Contr -15.9Comprobamos el número de individuos seleccionados:
nrow(anorexia_treat_C_df)## [1] 11