HistogramTools v0.3.2


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Utility Functions for R Histograms

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.

Functions in HistogramTools

Name Description
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
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Last month downloads


Type Package
Date 2015-07-28
Copyright Copyright 2011 Google, Inc.
URL https://r-forge.r-project.org/projects/histogramtools/
Classification/ACM G.3
License Apache License 2.0
NeedsCompilation no
Packaged 2015-07-29 17:24:10 UTC; murraystokely
Repository CRAN
Date/Publication 2015-07-29 20:48:41

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