My standard Rprofile

.Rprofile

#Including arch is useful for times that one might be running two versions of R on different architectures. e.g. on new M1 Macs
libDirectory <- paste(c("~/Rlibs/", R.Version()$minor, "/", R.Version()$arch, "/"),collapse="")
.libPaths(libDirectory)

#Taken from bioconductor. This removes the need for using biocLite to install packages, which would be at the top of my list of "Bad Things About R"
biocVersion <- "3.12"

biocMirror <- getOption("BioC_mirror", "https://bioconductor.org")
biocPaths <- c(BioCsoft = "bioc", BioCann = "data/annotation", BioCexp = "data/experiment")

biocRepos <- structure(paste(biocMirror, "packages", biocVersion, biocPaths, sep = "/"), names = names(biocPaths) )

options(
 repos = c(CRAN = "https://cran.rstudio.com",
          biocRepos),
 download.file.method = "libcurl")

# Use `export R_LOAD_PACKAGES="FALSE"` to skip loading packages
if(Sys.getenv("R_LOAD_PACKAGES") != "FALSE"){

  suppressPackageStartupMessages({

  ## Change colors when running R in the terminal
  if (isatty(stdout())){  if(require("colorout")){ setOutputColors256(verbose=FALSE) } }

	if(require(data.table)){
		options("datatable.print.class"= TRUE)
		setDTthreads(6)
	}

	require(ggplot2)
	require(magrittr)
	require(stringr)
  })
}