LehmacherTest
From DescTools v0.99.19
by Andri Signorell
Lehmacher's Test for Marginal Homogenity
Performs Lehmacher's chisquared test for marginal homogenity in a symmetric twodimensional contingency table.
 Keywords
 htest
Usage
LehmacherTest(x, y = NULL)
"print"(x, digits = 4L, ...)
Arguments
 x
 either a twodimensional contingency table in matrix form, or a factor object.
 y
 a factor object; ignored if x is a matrix.
 digits
 a nonnull value for digits specifies the minimum number of significant digits to be printed in values. See details in
print.default
.  ...
 further arguments to be passed to or from other methods. They are ignored in this function.
Details
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 twodimensional 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.
Value

A list with class
"mtest"
containing the following components:References
Lehmacher, W. (1980) Simultaneous sign tests for marginal homogeneity of square contingency tables Biometrical Journal, Volume 22, Issue 8, pages 795798
See Also
mcnemar.test
(resp. BowkerTest for a CxCmatrix), StuartMaxwellTest
, WoolfTest
Examples
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)
Community examples
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