Dataset Information

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

ABSTRACT: 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 ppcor 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 ppcor further provides users with the level of the statistical significance with its test statistic.

SUBMITTER: Kim S

PROVIDER: S-EPMC4681537 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature

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Publications

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

Kim Seongho S

Communications for statistical applications and methods 20151130 6

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 ...[more]

PMID: 26688802

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Dataset Information

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

Publications

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

Similar Datasets

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