Seongho Kim
2015.11.1Communications for Statistical Applications and Methods
tlooto Summary
A general matrix formula is derived of the semi-partial correlation for fast computation and it is shown that users can readily calculate the coefficients of both partial and semi- partial correlations without computational burden.
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.
Citation format
KIM, Seongho. Ppcor: An r package for a fast calculation to semi-partial correlation coefficients. Communications for Statistical Applications and Methods, 2015, 22: 665–674.