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

被引:804
作者
Kim, Seongho [1 ]
机构
[1] Wayne State Univ, Sch Med, Karmanos Canc Inst, Biostat Core,Dept Oncol, 87 E Canfield St, Detroit, MI 48201 USA
基金
美国国家科学基金会;
关键词
correlation; partial correlation; part correlation; ppcor; semi-partial correlation;
D O I
10.5351/CSAM.2015.22.6.665
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
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.
引用
收藏
页码:665 / 674
页数:10
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