GICC: GICC

In alex-kalinka-cruk/fgcQC: QC metric calculations for CRISPR screen data produced at the FGC

Description

Calculates Ahrens (1976) multivariate generalized intraclass correlation coefficient (GICC).

Usage

GICC(data, return.cov = TRUE, all.gicc = FALSE, conf.level = 0.95)

Arguments

data	A matrix or data frame of multivariate data in which the first column contains between-subject identifiers and the remaining columns are the variables measured on these subjects.
return.cov	A logical indicating whether to return the covariance matrix or not. Defaults to TRUE.
all.gicc	A logical indicating whether to return all of Ahrens GICC measures. Defaults to FALSE.
conf.level	A numeric value between 0 and 1 indicating the desired confidence level for the GICC confidence interval.

Value

A list with the following components:

• GICC - A list with the various GICC measures from Ahrens original paper. Use GICC.1 for the one advocated by Ahrens.

• num.var - An integer giving the number of variables.

• num.samps - An integer giving the number of samples.

• num.subj - An integer giving the number of subjects.

• num.reps - An integer giving the number of replicates.

• conf.level - The confidence level for the CI.

• balanced.design - A logical indicating if the design is balanced or not.

Author(s)

Alex T. Kalinka, [e-mail]

References

Ahrens, H. (1976). Multivariate variance-covariance components (MVCC) and generalized intraclass correlation coefficient (GICC). Biom. Z. 18, 527-533.

alex-kalinka-cruk/fgcQC documentation built on June 23, 2020, 9:05 p.m.