R: Tools: moving window statistics, GIF, Base64, ROC AUC, etc.

caTools-package {caTools} | R Documentation

## Tools: moving window statistics, GIF, Base64, ROC AUC, etc.

### Description

Contains several basic utility functions including: moving (rolling, running) window statistic functions, read/write for GIF and ENVI binary files, fast calculation of AUC, LogitBoost classifier, base64 encoder/decoder, round-off error free sum and cumsum, etc.

### Details

Package: | caTools
Version: | 1.17
Date: | April 21, 2014
Depends: | R (>= 2.2.0), bitops
Suggests: | MASS, rpart
License: | GPL=3

Index:

    LogitBoost              LogitBoost Classification Algorithm
    predict.LogitBoost      Prediction Based on LogitBoost Algorithm
    base64encode            Convert R vectors to/from the Base64 format
    colAUC                  Column-wise Area Under ROC Curve (AUC)
    combs                   All Combinations of k Elements from Vector v
    read.ENVI               Read and Write Binary Data in ENVI Format
    read.gif                Read and Write Images in GIF format
    runmean                 Mean of a Moving Window
    runmin                  Minimum and Maximum of Moving Windows
    runquantile             Quantile of Moving Window
    runmad                  Median Absolute Deviation of Moving Windows
    runsd                   Standard Deviation of Moving Windows
    sample.split            Split Data into Test and Train Set
    sumexact                Basic Sum Operations without Round-off Errors
    trapz                   Trapezoid Rule Numerical Integration

### Author(s)

Jarek Tuszynski <jaroslaw.w.tuszynski@saic.com>

### Examples

      # GIF image read & write
      write.gif( volcano, "volcano.gif", col=terrain.colors, flip=TRUE,
               scale="always", comment="Maunga Whau Volcano")
      y = read.gif("volcano.gif", verbose=TRUE, flip=TRUE)
      image(y$image, col=y$col, main=y$comment, asp=1)

      # test runmin, runmax and runmed
      k=25; n=200;
      x = rnorm(n,sd=30) + abs(seq(n)-n/4)
      col = c("black", "red", "green", "brown", "blue", "magenta", "cyan")
      plot(x, col=col[1], main = "Moving Window Analysis Functions (window size=25)")
      lines(runmin (x,k), col=col[2])
      lines(runmed (x,k), col=col[3])
      lines(runmean(x,k), col=col[4])
      lines(runmax (x,k), col=col[5])
      legend(0,.9*n, c("data", "runmin", "runmed", "runmean", "runmax"), col=col, lty=1 )

      # sum vs. sumexact
      x = c(1, 1e20, 1e40, -1e40, -1e20, -1)
      a = sum(x);         print(a)
      b = sumexact(x);    print(b)

[Package caTools version 1.17.1.2 Index]