My R packages

Last updated on Jan 21, 2020 R

Upgrading R

The following assumes that RStudio is installed.

First, of course, download the latest R version from CRAN
install.packages("devtools")
Install the packages that you need. Here I suggest that you install packages that have lots of dependencies first – as this should install of all of the dependencies. … kind of top down install process.

My packages

Stage 1: My essential everyday packages

devtools
bookdown
tidyverse
bookdown

GIS and remote sensing

sf
raster
tmap
mapview
lidR (see below)
rgdal
gdalUtil

Statistics

car
lsr
nlme – Package to perform linear mixed effects model analysis
agricolae – Package for performing Tukey HSD
lsmeans – Package for doing pairwise tests wtih lme results
moments
psych

Machine Learning

caret
SuperLearner
mlr3
- mlr3learners
- mlr3viz

Model metrics

vip
vimp

Pretty

latex2exp
rmdformats – alternate reports look for rmarkdown
gridExtra

Parallel Processing

snow
doParallel

Install CRAN packages

plist <- c("devtools", "bookdown", "blogdown", "tidyverse")
plist <- append(plist, c("sf", "raster", "tmap", "mapview"))
plist <- append(plist, c("car", "lsr", "nlme", "moments",
                         "psych", "caret", "SuperLearner", "mlr3", "mlr3learners", "mlr3viz"))
plist <- append(plist, c("vip", "vimp"))
plist <- append(plist, c("latex2exp", "snow"))

lapply(plist, install.packages, character.only = TRUE)
lapply(plist, library, character.only = TRUE) ;rm(x)

Non-CRAN

GitHub

r-spatial/stars
Jean-Romain/rlas
Jean-Romain/lidR
clauswilke/gridtext
pzhaonet/mindr

Install these using remotes::install_github("author/package") Also a good practice to review the github site for any additional documentation.

gitList <- c("r-spatial/stars",
             "Jean-Romain/rlas", "Jean-Romain/lidR",
             "clauswilke/gridtext",
             "pzhaonet/mindr")

lapply(gitList, devtools::install_github, character.only = TRUE)

R packages update install