weighted.corr: Weighted bivariate correlation

View source: R/weighted_correlation.R View source: R/pv_rrepest_correlation.R

weighted.corrR Documentation

Weighted bivariate correlation

Description

Computes the weighted Pearson correlation coefficient of two numeric vectors.

Usage

weighted.corr(x, y, w, na.rm = TRUE)

Arguments

x

(numeric vector) Variable of interest x for computing the correlation

y

(numeric vector) Variable of interest y for computing the correlation

w

(numeric vector) Vector with the weights

na.rm

(bool) if TRUE: Excludes missing values before computing the correlation

Value

Scalar containing the Pearson correlation coefficient

Examples

data(df_talis18) 

weighted.corr(x = df_talis18$t3stake, y = df_talis18$t3team, w = df_talis18$tchwgt)

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