Calculate Intraclass Correlation Coefficient (ICC) parallel

This function calculates the Intraclass Correlation Coefficient (ICC) for a set of samples and quality controls using a linear mixed-effects model. From: https://pmc.ncbi.nlm.nih.gov/articles/PMC6570933/ Based on: https://github.com/courtneyschiffman/Metabolomics-Filtering/blob/master/ICC.R

Usage

calculate_ICC_parallel(df, id_samples, id_qc)

Arguments

df

A data frame where rows = features and columns = samples column names should be sample IDs; row names should be feature IDs

id_samples

A vector of column names or indices representing the sample columns in df.

id_qc

A vector of column names or indices representing the quality control columns in df.

Value

A named numeric vector of ICC values for each row in df.