# Windows is sensitive to the order of installation
# of some of the packages so follow this order
# as noted below, on other systems this might be
# less of an issue but follow the instructions
# regardless
# First install the rlang packages which provides
# R functionalities needed by/for other packages
# in particular dplyr
install.packages("rlang")
# next install dplyr needed to manipulate
# tidy data as discussed in the R crash course
install.packages("dplyr")
# for convenient plotting we also install
# ggplot2 (this is not required but most plots shown
# are generated using ggplot)
install.packages("ggplot2")
install.packages("patchwork")
install.packages("hexbin")
install.packages("leaflet")
# to render markdown documents, install these packages
install.packages("rmarkdown", "knitr")
# to deal with relative paths in R markdown
# install the here package
install.packages("here")
# next up are the installs of the geospatial
# libraries, these can be installed in one
# go
install.packages(c("terra","tidyterra","sf","MODISTools"))
install.packages("geodata")
install.packages("signal")
install.packages("phenocamr")
install.packages("daymetr")
install.packages("rsample")
install.packages("parsnip")
install.packages("workflows")
install.packages("tune")
install.packages("dials")
install.packages("caret")
install.packages("GenSA")
install.packages("appeears")
install.packages("xgboost")Appendix A — Setup
A common Integrated Development Environment (IDE) for R is Rstudio by Posit.co. RStudio can be downloaded for free, and provides you with an interface in which a command line terminal, a text editor, a plotting window and file manager are combined. Many other features are also included.
You can download and install the RStudio IDE from the posit.co website:
https://posit.co/download/rstudio-desktop/
Select the correct download for your current operating system.
A.1 Required packages
To run this course a set of R packages is required. The below script lets you quickly install all of them, in the correct order.