association_statistics_for_both: Find intraclass correlation (ICC) between factor and...

In Sage-Bionetworks/sageseqr: Identify differentially expressed genes counts data

Find intraclass correlation (ICC) between factor and continuous covariates

Description

Fit a one-way ANOVA fixed effects model.

Usage

association_statistics_for_both(
  variables = names(clean_metadata),
  clean_metadata,
  p_value_cutoff = 0.05,
  na_action = "remove"
)

Arguments

variables	Variables to for ICC computation.Defaults to the column names of "md".
clean_metadata	A data frame with sample identifiers as rownames and variables as factors or numeric as determined by "sageseqr::clean_covariates()".
p_value_cutoff	Set the p-value threshold.
na_action	Defaults to removing rows with missing values.

Sage-Bionetworks/sageseqr documentation built on June 13, 2024, 2:11 p.m.