cortab: Cross-sectional correlation matrix

In plm: Linear Models for Panel Data

Description

Computes the cross–sectional correlation matrix

Usage

cortab(x, grouping, groupnames = NULL, value = "statistic", ...)

Arguments

x	an object of class pseries
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"))

plm documentation built on Sept. 21, 2021, 3:01 p.m.