compare_exposures: Compares alternative exposures

In YAPSA: Yet Another Package for Signature Analysis

Description

Compares exposures computed by two alternative approaches for the same cohort

Usage

compare_exposures(in_exposures1_df, in_exposures2_df, deselect_flag = TRUE)

Arguments

in_exposures1_df	Numeric data frame with exposures, ideally the smaller exposure data is supplied first.
in_exposures2_df	Numeric data frame with exposures, ideally the bigger exposure data is supplied second.
deselect_flag	Wehther signatures absent in both exposure data frames should be removed.

Value

A list with entries merge_df, all_cor.coeff, all_p.value, cor.coeff_vector, p.value_vector, all_cor.test, and cor.test_list.

• merge_df: Merged molten input exposure data frames

• all_cor.coeff: Pearson correlation coefficient for all data points, i.e. taken all signatures together

• all_p.value: P-value of the Pearson test for all data points, i.e. taken all signatures together

• cor.coeff_vector: A vector of Pearson correlation coefficients evaluated for every signature independently

• p.value_vector: A vector of p-values of the Pearson tests evaluated for every signature independently

• all_cor.test: A data structure as returned by cor.test for all data points, i.e. taken all signatures together

• cor.test_list: A list of data structures as returned by cor.test, but evaluated for every signature independently

Examples

 NULL

YAPSA documentation built on Nov. 8, 2020, 4:59 p.m.