batch_wilcoxon: Batch to conduct wilcoxon test between two groups

In IOBR/IOBR: Immune Oncology Biological Research

Batch to conduct wilcoxon test between two groups

Description

The batch_wilcoxon function performs Wilcoxon rank-sum tests on a given data set to compare the distribution of a specified feature between two groups. It computes the p-values and ranks the significant features based on the p-values. The function returns a data frame with the feature names, p-values, adjusted p-values, logarithm of p-values, and a star rating based on the p-value ranges.

Usage

batch_wilcoxon(
  data,
  target = "group",
  feature = NULL,
  feature_manipulation = FALSE
)

Arguments

data	A data frame containing the input data for analysis.
target	The name of the column in the data frame that represents the group labels. The default value is "group".
feature	A character vector specifying the names of the features or variables to be analyzed. If NULL, all continuous features in the data frame will be used. Default value is NULL.
feature_manipulation	A logical value indicating whether feature manipulation is required. If TRUE, a custom feature manipulation function will be applied to the data. Default value is FALSE.

Value

statistical result

Author(s)

Dongqiang Zeng

Examples

# Loading TCGA-STAD microenvironment signature data
data("sig_stad", package = "IOBR")
# Finding microenvironmental scores associated with Gender
batch_wilcoxon(data = sig_stad, target = "Gender", feature = colnames(sig_stad)[69:ncol(sig_stad)])

IOBR/IOBR documentation built on April 4, 2024, 1:07 a.m.