cor.folder: Correlation matrices of a folder of data sets

In dad: Three-Way / Multigroup Data Analysis Through Densities

Correlation matrices of a folder of data sets

Description

Computes the correlation matrices of the elements of an object of class folder.

Usage

cor.folder(x, use = "everything", method = "pearson")

Arguments

x	an object of class folder that is a list of data frames with the same column names.
use	an optional character string giving a method for computing covariances in the presence of missing values. This must be (an abbreviation of) one of the strings "everything", "all.obs", "complete.obs", "na.or.complete", or "pairwise.complete.obs" (see var).
method	a character string indicating which correlation coefficient (or covariance) is to be computed. One of "pearson" (default), "kendall", or "spearman": can be abbreviated.

Details

It uses cor to compute the variance matrix of the numeric columns of each element of the folder. If some columns of the data frames are not numeric, there is a warning, and the variances are computed on the numeric columns only.

Value

A list whose elements are the correlation matrices of the elements of the folder.

Author(s)

Rachid Boumaza, Pierre Santagostini, Smail Yousfi, Gilles Hunault, Sabine Demotes-Mainard

See Also

folder to create an object is of class folder. mean.folder, var.folder, skewness.folder, kurtosis.folder for other statistics for folder objects.

Examples

# First example: iris (Fisher)               
data(iris)
iris.fold <- as.folder(iris, "Species")
iris.cor <- cor.folder(iris.fold)
print(iris.cor)

# Second example: roses
data(roses)
roses.fold <- as.folder(roses, "rose")
roses.cor <- cor.folder(roses.fold)
print(roses.cor)

dad documentation built on Aug. 30, 2023, 5:06 p.m.