cortab {plm} | R Documentation |
Cross–sectional correlation matrix
Description
Computes the cross–sectional correlation matrix
Usage
cortab(x, grouping, groupnames = NULL, value = "statistic", ...)
Arguments
x |
an object of class |
grouping |
grouping variable, |
groupnames |
a character vector of group names, |
value |
to complete, |
... |
further arguments. |
Value
A matrix with average correlation coefficients within a group (diagonal) and between groups (off-diagonal).
Examples
data("Grunfeld", package = "plm")
pGrunfeld <- pdata.frame(Grunfeld)
grp <- c(rep(1, 100), rep(2, 50), rep(3, 50)) # make 3 groups
cortab(pGrunfeld$value, grouping = grp, groupnames = c("A", "B", "C"))
[Package plm version 2.6-4 Index]