iccde (version 0.3.8)

icc.de.mat: Computation of Double-Entry Intraclass Correlations for correlation matrices

Description

This function computes pairwise double-entry intraclass correlations among all entries of a data frame. Correlations between the compared variables as well as correlations of the constructs with themselves are thereby excluded from the calculation (i.e., correlations between X and Y, correlation between X and X, and correlation between Y and Y).

Usage

icc.de.mat(data, use = "pairwise", digit)

Value

A matrix of double-entry intraclass correlations among the entered variables.

Arguments

data

A data frame with participants in rows and variables in columns.

use

Optional character string specifying how to deal with missing values. The input will be forwarded to the base cor function and can be one of the following strings, including abbreviation: "everything", "all.obs", "complete.obs", "na.or.complete", or "pairwise.complete.obs". The default is use = "pairwise".

digit

Number of digits in the output. The default is 3.

Author

Christian Blötner, Michael Paul Grosz

References

Furr, R. M. (2010). The Double-Entry Intraclass Correlation as an Index of Profile Similarity: Meaning, Limitations, and Alternatives. Journal of Personality Assessment, 92(1), 1--15. https://doi.org/10.1080/00223890903379134

McCrae, R. R. (2008). A Note on Some Measures of Profile Agreement. Journal of Personality Assessment, 90(2), 105--109. https://doi.org/10.1080/00223890701845104

Examples

df <- data.frame(a = rnorm(100), b = rnorm(100), c = rnorm(100),
                 x = rnorm(100), y = rnorm(100), z = rnorm(100))
icc.de.mat(df)