corTable: Correlation matrix table.

In psytabs: Produce well-formatted tables for psychological research

Description

Produces a simple correlation matrix table.

Usage

corTable(data, use = "pairwise", method = "pearson", round = 2, significance = NA, sd = FALSE, mean.sd.cols = FALSE)

Arguments

data	data.frame containing the variables for which the correlation matrix should be calculated.
use	Which observations should be used? use="pairwise" is the default value and will do pairwise deletion of cases. use="complete" will select just complete cases.
method	Which correlation type should be used? method="pearson" is the default value. The alternatives to be passed to cor are "spearman" and "kendall".
round	numeric values that denotes to what decimal point should be rounded.
significance	character vector that specifies if p-values and/or significance stars should be included in the table. ="NA" displays no significances. ="stars" displays significance stars. ="p-values" displays p-values and =c("stars", "p-values") displays both stars and p-values.
sd	logical value that toggles Whether the standard deviation should be displayed in the diagonal.
mean.sd.cols	logical value that toggles Whether additional mean and standard columns should be included in the table.

Value

A dataframe comprising the correlation matrix table.

Examples

data(myData)
corTable(myData[,1:4])
corTable(myData[,1:4], method = "kendall")
corTable(myData[,1:4], sd = TRUE)
corTable(myData[,1:4], use = "complete")
corTable(myData[,1:4], significance = "stars")
corTable(myData[,1:4], significance = c("stars", "p-values"))
corTable(myData[,1:4], round = 4)
corTable(myData[,1:4], mean.sd.cols = TRUE)
(cor.tab <- corTable(myData[,1:4], significance = "stars", mean.sd.cols = TRUE))

#saveTable(cor.tab, "corTab.rtf")

psytabs documentation built on May 2, 2019, 5:27 p.m.