Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

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

Note:

Example:

; 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")

Result:

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

Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Author: Sigbert Klinke 970820, 981112
(C) MD*TECH Method and Data Technologies, 21.9.2000