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ccrepe (version 1.8.2)

ccrepe_and_nc.score

Description

The CCREPE (Compositionality Corrected by REnormalizaion and PErmutation) package is designed to assess the significance of general similarity measures in compositional datasets. In microbial abundance data, for example, the total abundances of all microbes sum to one; CCREPE is designed to take this constraint into account when assigning p-values to similarity measures between the microbes. The package has two functions: ccrepe: Calculates similarity measures, p-values and q-values for relative abundances of bugs in one or two body sites using bootstrap and permutation matrices of the data. nc.score: Calculates species-level co-variation and co-exclusion patterns based on an extension of the checkerboard score to ordinal data.

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Version

Version

1.8.2

License

MIT + file LICENSE

Maintainer

Emma Schwager

Last Published

February 15th, 2017

Functions in ccrepe (1.8.2)

ccrepe-package

A package for analysis of sparse compositional data. Allows calculation of the similarity measure nc-score and calculation of compositionality-corrected p-values for arbitrary similarity scores (including user-defined) applied to compositional data.
ccrepe

Calculates compositionality-corrected p-values and q-values for compositional data using an arbitrary distance metric.
nc.score

nc.score
ccrepeSampleTestFunction

ccrepeSampleTestFunction - Simple example of a test measurent function to be used with ccrepe