dot-multivariable_analysis: Multivariable Cox-PH analyses of gene expression

In a3609640/eIF4F.analysis: A R package to analyze eIF4F subunits in human cancers

Multivariable Cox-PH analyses of gene expression

Description

This function generates univariable regression model of the gene expression within tumor samples and patient overall survival time TCGA.

Usage

.multivariable_analysis(df, covariate_names)

Arguments

covariate_names	gene names from the input argument of .plot_CoxPH_RNAseq_TCGA()
gene	gene names, passed gene_list argument from .plot_CoxPH_RNAseq_TCGA()
data	df1 generated inside .plot_CoxPH_RNAseq_TCGA()

Details

It should not be used directly, only inside .plot_CoxPH_RNAseq_TCGA() function.

Value

a table of multivariable Cox-PH

See Also

Other helper function for survival analysis: .KM_curve(), .univariable_analysis()

Examples

## Not run: 
.univariable_analysis(df = df1, covariate_names = EIF)

## End(Not run)

a3609640/eIF4F.analysis documentation built on Jan. 2, 2023, 11:19 p.m.