cov_nest: Compute covariance or correlation matrix with treatments for...

In Rnest: Next Eigenvalue Sufficiency Test

Compute covariance or correlation matrix with treatments for clusters and missing values

Description

Compute covariance or correlation matrix with treatments for clusters and missing values

Usage

cor_nest(.data, ..., cluster = NULL, missing = "fiml", pvalue = FALSE)

cov_nest(.data, ..., cluster = NULL, missing = "fiml", pvalue = FALSE)

Arguments

.data	a data frame, a numeric matrix.
...	further arguments.
cluster	a variable name defining the clusters in a two-level dataset in the data frame.
missing	treatment to deal with missing values. Options are "listwise" or "pairwise". Default if "fiml".
pvalue	an argument to indicate if p-values are required.

Value

A list of class "covnest"

Examples

cov_nest(airquality)

Rnest documentation built on April 3, 2025, 5:31 p.m.