Learn R Programming

HistogramTools (version 0.3.2)

Utility Functions for R Histograms

Description

Provides a number of utility functions useful for manipulating large histograms. This includes methods to trim, subset, merge buckets, merge histograms, convert to CDF, and calculate information loss due to binning. It also provides a protocol buffer representations of the default R histogram class to allow histograms over large data sets to be computed and manipulated in a MapReduce environment.

Copy Link

Version

Install

install.packages('HistogramTools')

Monthly Downloads

80

Version

0.3.2

License

Apache License 2.0

Maintainer

Murray Stokely

Last Published

July 29th, 2015

Functions in HistogramTools (0.3.2)

PreBinnedHistogram

PreBinnedHistogram
InformationLoss

Information Loss Metrics for Histograms
MergeBuckets

Merge adjacent buckets in a histogram to create a new histogram.
SubsetHistogram

Subset a histogram by removing some of the buckets.
histogramtools-package

HistogramTools package
AddHistograms

Aggregate histograms that have identical breaks.
IntersectHistograms

Intersect Histograms
ScaleHistogram

Scale Histogram Counts
ASH

Average Shifted Histograms From a Histogram.
PlotLog2ByteEcdf

Plot Binned Histogram and ECDF Data.
HistogramDistance

Histogram Distance Measures
dtracehistograms

Read Histograms from text DTrace output file.
PlotRelativeFrequency

Plot Relative Frequency Histogram
trimsparse

Trim the tails of a sparse histogram.
HistToEcdf

Empirical Cumulative Distribution Function From a Histogram.
as.Message

Convert R histograms to Protocol Buffer representation
quantile

Histogram Approximate Quantiles.
as.histogram

Convert histogram protocol buffers to histogram objects