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pAnalysis (version 2.0)

Benchmarking and Rescaling R2 using Noise Percentile Analysis

Description

Provides the tools needed to benchmark the R2 value corresponding to a certain acceptable noise level while also providing a rescaling function based on that noise level yielding a new value of R2 we refer to as R2k which is independent of both the number of degrees of freedom and the noise distribution function.

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Version

Install

install.packages('pAnalysis')

Monthly Downloads

213

Version

2.0

License

GPL-2

Maintainer

Joseph G Kreke

Last Published

January 19th, 2016

Functions in pAnalysis (2.0)

plotpdf

Plot Several Probability Density Functions
pcdfs

R2 values with corresponding probability density and cumulative density functions.
plotcdf

Plot several Cumulative Density Functions
cap1

cap1
pAnalysis-package

\Sexpr[results=rd,stage=build]{tools:::Rd_package_title("#1")}pAnalysisBenchmarking and Rescaling R2 using Noise Percentile Analysis
R2p

Calculation of baseline noise level (R2p) at a single value of degrees of freedom (dof)
plotR2Equiv

Plotting Equivalent R2s across a range of degrees of freedom.
plotR2p

Plot several noise baselines (R2p)
R2k

Conversion of standard R2 to a noise/dof-independent value
R2pTable

Creates a table R2p values for combinations of degrees of freedom and percentiles
R2

R-squared
plotR2k

Plot R2k for a single measured R2 and a single noise percentile across a range of degrees of freedom