ppcor: An R Package for a Fast Calculation to Semi-partial Correlation Coefficients

Lack of a general matrix formula hampers implementation of the semi-partial correlation, also known as part correlation, to the higher-order coefficient. This is because the higher-order semi-partial correlation calculation using a recursive formula requires an enormous number of recursive calculati...

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Bibliographic Details
Published inCommunications for statistical applications and methods Vol. 22; no. 6; p. 665
Main Author Kim, Seongho
Format Journal Article
LanguageEnglish
Published Korea (South) 01.11.2015
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Summary:Lack of a general matrix formula hampers implementation of the semi-partial correlation, also known as part correlation, to the higher-order coefficient. This is because the higher-order semi-partial correlation calculation using a recursive formula requires an enormous number of recursive calculations to obtain the correlation coefficients. To resolve this difficulty, we derive a general matrix formula of the semi-partial correlation for fast computation. The semi-partial correlations are then implemented on an R package along with the partial correlation. Owing to the general matrix formulas, users can readily calculate the coefficients of both partial and semi-partial correlations without computational burden. The package further provides users with the level of the statistical significance with its test statistic.
ISSN:2287-7843
DOI:10.5351/csam.2015.22.6.665