我使用下面的方法让cacheSweave(或pgfSweave)在RStudio中使用“Compile PDF”按钮:

library(cacheSweave)
assignInNamespace("RweaveLatex", cacheSweave::cacheSweaveDriver, "utils")

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")')

下面是将表导出到LaTeX的一小段代码。它将我编写的许多报告的所有列名更改为数学模式。我的. r配置文件的其余部分是相当标准的，上面已经介绍了大部分内容。

# Puts $dollar signs in front and behind all column names col_{sub} -> $col_{sub}$

amscols<-function(x){
    colnames(x) <- paste("$", colnames(x), "$", sep = "")
    x
}

sink(file = 'R.log', split=T)

options(scipen=5)

.ls.objects <- function (pos = 1, pattern, order.by = "Size", decreasing=TRUE, head =     TRUE, n = 10) {
  # based on postings by Petr Pikal and David Hinds to the r-help list in 2004
  # modified by: Dirk Eddelbuettel (http://stackoverflow.com/questions/1358003/tricks-to-    manage-the-available-memory-in-an-r-session) 
  # I then gave it a few tweaks (show size as megabytes and use defaults that I like)
  # a data frame of the objects and their associated storage needs.
  napply <- function(names, fn) sapply(names, function(x)
          fn(get(x, pos = pos)))
  names <- ls(pos = pos, pattern = pattern)
  obj.class <- napply(names, function(x) as.character(class(x))[1])
  obj.mode <- napply(names, mode)
  obj.type <- ifelse(is.na(obj.class), obj.mode, obj.class)
  obj.size <- napply(names, object.size) / 10^6 # megabytes
  obj.dim <- t(napply(names, function(x)
            as.numeric(dim(x))[1:2]))
  vec <- is.na(obj.dim)[, 1] & (obj.type != "function")
  obj.dim[vec, 1] <- napply(names, length)[vec]
  out <- data.frame(obj.type, obj.size, obj.dim)
  names(out) <- c("Type", "Size", "Rows", "Columns")
  out <- out[order(out[[order.by]], decreasing=decreasing), ]
  if (head)
    out <- head(out, n)
  out
}

以下是我的想法:

.First <- function () {
  options(device="quartz")
}

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

# Slightly more flexible than as.Date
# my.as.Date("2009-01-01") == my.as.Date(2009, 1, 1) == as.Date("2009-01-01")
my.as.Date <- function (a, b=NULL, c=NULL, ...) {
  if (class(a) != "character")
    return (as.Date(sprintf("%d-%02d-%02d", a, b, c)))
  else
    return (as.Date(a))
}

# Some useful aliases
cd <- setwd
pwd <- getwd
lss <- dir
asd <- my.as.Date # examples: asd("2009-01-01") == asd(2009, 1, 1) == as.Date("2009-01-01")
last <- function (x, n=1, ...) tail(x, n=n, ...)

# Set proxy for all web requests
Sys.setenv(http_proxy="http://192.168.0.200:80/")

# Search RPATH for file <fn>.  If found, return full path to it
search.path <- function(fn,
     paths = strsplit(chartr("\\", "/", Sys.getenv("RPATH")), split =
                switch(.Platform$OS.type, windows = ";", ":"))[[1]]) {
  for(d in paths)
     if (file.exists(f <- file.path(d, fn)))
        return(f)
  return(NULL)
}

# If loading in an environment that doesn't respect my RPATH environment
# variable, set it here
if (Sys.getenv("RPATH") == "") {
  Sys.setenv(RPATH=file.path(path.expand("~"), "Library", "R", "source"))
}

# Load commonly used functions
if (interactive())
  source(search.path("afazio.r"))

# If no R_HISTFILE environment variable, set default
if (Sys.getenv("R_HISTFILE") == "") {
  Sys.setenv(R_HISTFILE=file.path("~", ".Rhistory"))
}

# Override q() to not save by default.
# Same as saying q("no")
q <- function (save="no", ...) {
  quit(save=save, ...)
}

# ---------- My Environments ----------
#
# Rather than starting R from within different directories, I prefer to
# switch my "environment" easily with these functions.  An "environment" is
# simply a directory that contains analysis of a particular topic.
# Example usage:
# > load.env("markets")  # Load US equity markets analysis environment
# > # ... edit some .r files in my environment
# > reload()             # Re-source .r/.R files in my environment
#
# On next startup of R, I will automatically be placed into the last
# environment I entered

# My current environment
.curr.env = NULL

# File contains name of the last environment I entered
.last.env.file = file.path(path.expand("~"), ".Rlastenv")

# Parent directory where all of my "environment"s are contained
.parent.env.dir = file.path(path.expand("~"), "Analysis")

# Create parent directory if it doesn't already exist
if (!file.exists(.parent.env.dir))
  dir.create(.parent.env.dir)

load.env <- function (string, save=TRUE) {
  # Load all .r/.R files in <.parent.env.dir>/<string>/
  cd(file.path(.parent.env.dir, string))
  for (file in lss()) {
    if (substr(file, nchar(file)-1, nchar(file)+1) %in% c(".r", ".R"))
      source(file)
  }
  .curr.env <<- string
  # Save current environment name to file
  if (save == TRUE) writeLines(.curr.env, .last.env.file)
  # Let user know environment switch was successful
  print (paste(" -- in ", string, " environment -- "))
}

# "reload" current environment.
reload <- resource <- function () {
  if (!is.null(.curr.env))
    load.env(.curr.env, save=FALSE)
  else
    print (" -- not in environment -- ")
}

# On startup, go straight to the environment I was last working in
if (interactive() && file.exists(.last.env.file)) {
  load.env(readLines(.last.env.file))
}

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