Lehmacher's Test for Marginal Homogenity
Performs Lehmacher's chi-squared test for marginal homogenity in a symmetric two-dimensional contingency table.
LehmacherTest(x, y = NULL)"print"(x, digits = 4L, ...)
- either a two-dimensional contingency table in matrix form, or a factor object.
- a factor object; ignored if x is a matrix.
- a non-null value for digits specifies the minimum number of significant digits to be printed in values. See details in
- further arguments to be passed to or from other methods. They are ignored in this function.
The null is that the probabilities of being classified into cells [i,j] and [j,i] are the same.
If x is a matrix, it is taken as a two-dimensional contingency table, and hence its entries should be nonnegative integers. Otherwise, both x and y must be vectors or factors of the same length. Incomplete cases are removed, vectors are coerced into factors, and the contingency table is computed from these.
A list with class
"mtest"containing the following components:
Lehmacher, W. (1980) Simultaneous sign tests for marginal homogeneity of square contingency tables Biometrical Journal, Volume 22, Issue 8, pages 795-798
x <- matrix(c(400,40,20,10, 50,300,60,20, 10,40,120,5, 5,90,50,80), nrow=4, byrow=TRUE) LehmacherTest(x)