我喜欢保存我的R命令历史，并在每次运行R命令时都可用:

在shell或.bashrc中:

export R_HISTFILE=~/.Rhistory

在.Rprofile:

.Last <- function() {
        if (!any(commandArgs()=='--no-readline') && interactive()){
                require(utils)
                try(savehistory(Sys.getenv("R_HISTFILE")))
        }
}

这是我的。它不会帮助你着色，但我从ESS和Emacs…

options("width"=160)                # wide display with multiple monitors
options("digits.secs"=3)            # show sub-second time stamps

r <- getOption("repos")             # hard code the US repo for CRAN
r["CRAN"] <- "http://cran.us.r-project.org"
options(repos = r)
rm(r)

## put something this is your .Rprofile to customize the defaults
setHook(packageEvent("grDevices", "onLoad"),
        function(...) grDevices::X11.options(width=8, height=8, 
                                             xpos=0, pointsize=10, 
                                             #type="nbcairo"))  # Cairo device
                                             #type="cairo"))    # other Cairo dev
                                             type="xlib"))      # old default

## from the AER book by Zeileis and Kleiber
options(prompt="R> ", digits=4, show.signif.stars=FALSE)


options("pdfviewer"="okular")         # on Linux, use okular as the pdf viewer

下面是我发现的两个方便使用窗口的函数。

第一个将\s转换为/。

.repath <- function() {
   cat('Paste windows file path and hit RETURN twice')
   x <- scan(what = "")
   xa <- gsub('\\\\', '/', x)
   writeClipboard(paste(xa, collapse=" "))
   cat('Here\'s your de-windowsified path. (It\'s also on the clipboard.)\n', xa, '\n')
 }

第二个选项在一个新的资源管理器窗口中打开工作目录。

getw <- function() {
    suppressWarnings(shell(paste("explorer",  gsub('/', '\\\\', getwd()))))
}

Stephen Turner关于. rprofiles的帖子有几个有用的别名和启动函数。

我发现自己经常使用他的“ht”和“hh”。

#ht==headtail, i.e., show the first and last 10 items of an object
ht <- function(d) rbind(head(d,10),tail(d,10))

# Show the first 5 rows and first 5 columns of a data frame or matrix
hh <- function(d) d[1:5,1:5]

我的大部分个人函数和加载的库都在rfunction中。r脚本

source("c:\\data\\rprojects\\functions\\Rfunctions.r")


.First <- function(){
   cat("\n Rrrr! The statistics program for Pirates !\n\n")

  }

  .Last <- function(){
   cat("\n Rrrr! Avast Ye, YO HO!\n\n")

  }


#===============================================================
# Tinn-R: necessary packages
#===============================================================
library(utils)
necessary = c('svIDE', 'svIO', 'svSocket', 'R2HTML')
if(!all(necessary %in% installed.packages()[, 'Package']))
  install.packages(c('SciViews', 'R2HTML'), dep = T)

options(IDE = 'C:/Tinn-R/bin/Tinn-R.exe')
options(use.DDE = T)

library(svIDE)
library(svIO)
library(svSocket)
library(R2HTML)
guiDDEInstall()
shell(paste("mkdir C:\\data\\rplots\\plottemp", gsub('-','',Sys.Date()), sep=""))
pldir <- paste("C:\\data\\rplots\\plottemp", gsub('-','',Sys.Date()), sep="")

plot.str <-c('savePlot(paste(pldir,script,"\\BeachSurveyFreq.pdf",sep=""),type="pdf")')

这是我的。我总是使用主要的cran存储库，并且有代码可以使它很容易地获得开发包中的代码。

.First <- function() {
    library(graphics)
    options("repos" = c(CRAN = "http://cran.r-project.org/"))
    options("device" = "quartz")
}

packages <- list(
  "describedisplay" = "~/ggobi/describedisplay",
  "linval" = "~/ggobi/linval", 

  "ggplot2" =  "~/documents/ggplot/ggplot",
  "qtpaint" =  "~/documents/cranvas/qtpaint", 
  "tourr" =    "~/documents/tour/tourr", 
  "tourrgui" = "~/documents/tour/tourr-gui", 
  "prodplot" = "~/documents/categorical-grammar"
)

l <- function(pkg) {
  pkg <- tolower(deparse(substitute(pkg)))
  if (is.null(packages[[pkg]])) {
    path <- file.path("~/documents", pkg, pkg)
  } else {
    path <- packages[pkg]
  }

  source(file.path(path, "load.r"))  
}

test <- function(path) {
  path <- deparse(substitute(path))
  source(file.path("~/documents", path, path, "test.r"))  
}