Library: | stats |
See also: | relation relationcont relationcorrcont relationrank relationcorr |
Quantlet: | relationchi2 | |
Description: | Computes the Chi^2 coefficients for discrete data. |
Usage: | rel = relchi2 (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 chi^2 values | |
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") ; compute the chi^2 statistic and its pvalues ; automatically colname = string("X%0.f", 1:cols(x)) relationchi2(x, colname, "automatic")
Contents of rel.r [1,] 4000 340.93 440.24 1054.5 641.76 982.71 [2,] 340.93 3200 472.66 810.69 570.29 709.79 [3,] 440.24 472.66 3600 937.03 596.87 779.53 [4,] 1054.5 810.69 937.03 9800 1793.3 2043.2 [5,] 641.76 570.29 596.87 1793.3 6800 1608.6 [6,] 982.71 709.79 779.53 2043.2 1608.6 8200 Contents of rel.pval [1,] 0 0.20152 0.0024184 0.048822 +NAN 7.3697e-05 [2,] 0.20152 0 3.8681e-11 0.2472 0.21048 0.071514 [3,] 0.0024184 3.8681e-11 0 0.096837 +NAN 0.1404 [4,] 0.048822 0.2472 0.096837 0 0.015248 0.29226 [5,] +NAN 0.21048 +NAN 0.015248 0 5.1065e-05 [6,] 7.3697e-05 0.071514 0.1404 0.29226 5.1065e-05 0