pearson.cor: Measure an impact of the covariates on the response using...

In rbvs: Ranking-Based Variable Selection

Description

Measure an impact of the covariates on the response using Pearson correlatio. This function evaluates the Pearson correlation coefficient between the response y and each column in the design matrix x over subsamples in subsamples.

Usage

pearson.cor(x, y, subsamples, ...)

Arguments

x	Matrix with n observations of p covariates in each row.
y	Response vector with n observations.
subsamples	Matrix with m indices of N subsamples in each column.
...	Not in use.

Value

Numeric p by N matrix with Pearson correlations evaluated for each subsample.

rbvs documentation built on May 2, 2019, 7:31 a.m.