semi_par_serial: Semi-partial correlation with weights

In Deleetdk/kirkegaard: kirkegaard

Semi-partial correlation with weights

Description

Returns a table of semi-partial correlations where a dependent variable has first been regressed on the primary predictor variable, and then correlated with each of the secondary predictors in turn.

Usage

semi_par_serial(
  df,
  dependent,
  primary,
  secondaries,
  weights = NULL,
  standardize = T
)

Arguments

df	A data frame with the variables.
dependent	A string with the name of the dependent variable.
primary	A string with the name of the primary predictor variable.
secondaries	A character vector with the names of the secondary predictor variables.
weights	A string with the name of the variable to use for weights.
standardize	Whether to standardize the data frame before running results. The weights variable will not be standardized.

Deleetdk/kirkegaard documentation built on April 22, 2024, 5:22 p.m.