Function for using RM80 to detect/compare CSV data

RM80 <- function() {
require(plyr)
# RMF Media/ RMF Network Security 7:00 PM 3/20/2014. Tested on R 3.03
# Takes three CSV samples (One Control and Two Samples) from Aware Electronics RM-80 GM Counter.
# Configured to read data from "1 TBU per line" for any Time Base Unit
# Samples must have headers repleace with "Time" and "MicroRads_HR" like this:
#       Time MicroRads_HR
#1  41715.85        10.17
#2  41715.85        15.25
# ...

Hallquist script to show memory use...

A really nice script to show memory use of objects by Michael Hallquist :

showMemoryUse <- function(sort="size", decreasing=FALSE, limit) {

  objectList <- ls(parent.frame())

  oneKB <- 1024
  oneMB <- 1048576
  oneGB <- 1073741824

  memoryUse <- sapply(objectList, function(x) as.numeric(object.size(eval(parse(text=x)))))

  memListing <- sapply(memoryUse, function(size) {
        if (size >= oneGB) return(paste(round(size/oneGB,2), "GB"))
        else if (size >= oneMB) return(paste(round(size/oneMB,2), "MB"))
        else if (size >= oneKB) return(paste(round(size/oneKB,2), "kB"))
        else return(paste(size, "bytes"))
      })

  memListing <- data.frame(objectName=names(memListing),memorySize=memListing,row.names=NULL)

  if (sort=="alphabetical") memListing <- memListing[order(memListing$objectName,decreasing=decreasing),] 
  else memListing <- memListing[order(memoryUse,decreasing=decreasing),] #will run if sort not specified or "size"

  if(!missing(limit)) memListing <- memListing[1:limit,]

  print(memListing, row.names=FALSE)
  return(invisible(memListing))
}

Using Options in R

To list all options is R:

as.matrix(.Options[1:length(.Options)])
 > as.matrix(.Options[1:length(.Options)])