weighted.corr.cov.n: Multivariate correlation and covariance

In Rrepest: An Analyzer of International Large Scale Assessments in Education

Multivariate correlation and covariance

Description

Computes multivariate correlation and covariance for the variables of interest.

Usage

weighted.corr.cov.n(
  data,
  x,
  w = rep(1, length(data[x[1]])),
  corr = TRUE,
  na.rm = TRUE
)

Arguments

data	(data frame) Data to analyse
x	(string vector) Variables of interest for which to compute the correlation/covariance
w	(string) Name of the numeric variable representing the weights
corr	(bool) if TRUE: Computes correlation; if FALSE: Computes covariance
na.rm	(bool) if TRUE: Excludes missing values before computing the correlation/covariance.

Value

Data frame containing each pairwise bivariate correlation/covariance

Examples

data(df_talis18)

weighted.corr.cov.n(df_talis18,c("t3stake","t3team","t3stud"),"tchwgt")

Rrepest documentation built on April 4, 2025, 2:07 a.m.