| Library: | stats |
| See also: | relation relationchi2 relationcont relationrank relationcorr |
| Quantlet: | relationcorrcont | |
| Description: | Computes the corrected contingency coefficient for discrete data. |
| Usage: | rel = relationcorrcont (x {, colname {, opt}}) | |
| Input: | ||
| x | n x p variables | |
| colname | n x p variable names | |
| opt | q x 1 text vector of optional parameters | |
| Output: | ||
| rel.r | p x p matrix of corrected contingency coefficients | |
| rel.pval | p x p significance level of chi^2 statistics | |
; loads the library stats
library("stats")
; read swiss banknote data
; actually these data are continuous, but the first
; three variables have approx. 20 realizations
x = read ("bank2")
x = x[,1:3]
; compute the corrected contingency coefficients and the
; pvalues of the chi^2 statistic automatically
colname = string ("X%0.f", 1:cols(x))
relationcorrcont (x, colname, "automatic")
Contents of rel.r [1,] 1 0.81833 0.85195 [2,] 0.81833 1 0.86405 [3,] 0.85195 0.86405 1 Contents of rel.pval [1,] 0 0.20152 0.0024184 [2,] 0.20152 0 3.8681e-11 [3,] 0.0024184 3.8681e-11 0
| Library: | stats |
| See also: | relation relationchi2 relationcont relationrank relationcorr |