pearsontable: Pearson correlation heatmap

In edlansiaux/muinther: Mutual Information Theory and Correlation Computation for Numerous Variables

Pearson correlation heatmap

Description

Contingence table heatmap of Pearson coefficients and p-values. Studied variables can be binary or quantitative.Concerning Pearson correlation, it is a commonly formulated criticism that one may not establish a linear correlation between a series of quantitative variables and another one of qualitative variables . However, this concern is misguided in the case of dichotomous variables (i.e., taking binary values), for this correlation can be legitimately established using the point biserial correlation coefficient.

Usage

pearsontable(x)

Arguments

x	is the source data matrix/data frame

Author(s)

Joachim Forget, Jean-Luc Caut

References

1/ Lev, J. The point biserial coefficient of correlation. Ann. Math. Stat. 20, DOI: 10.1214/aoms/1177730103 (1949). 2/ Tate, R. Correlation between a discrete and a continuous variable. point-biserial correlation. The Annals Math. Stat. 25,DOI: 10.1214/aoms/1177728730 (1954) 3/ Kornbrot, D. Point biserial correlation. In Encyclopedia of Statistics in Behavioral Science, DOI: 10.1002/0470013192.bsa485 (American Cancer Society, 2005)

Examples

## Pearson correlation computation and visualization
pearsontable(docs_phenotype_file_1)

edlansiaux/muinther documentation built on Dec. 24, 2024, 4:46 p.m.