PCAcorGroup: PCA first component correlation by 3 groups

Description Usage Arguments Value

View source: R/PCAcorGroup.R

Description

The function performs the partial correlation test done in function PCAcor for two datasets and using argument cov as set of controlling variables. This calculations are done by pulling away the individuals in three groups: "AA", "AB" & "BB".

Usage

1
PCAcorGroup(exprg1, exprg2, cov, group)

Arguments

exprg1

Dataframe with exon expression on a sample of individuals.

exprg2

The same as exprg1 but with the exon expression of another gene. Notice the number of rows in exprg1 & exprg2 can differ as different genes has different number of exons.

cov

The dataframe with the covariables due to conditions on the experiment.

Value

Returns the maximium absolute value of the differences in the partial correlation coefficient coming from each group.


isglobal-brge/co_splicing documentation built on May 18, 2019, 5:50 a.m.