| LehmacherTest | R Documentation | 
Performs Lehmacher's chi-squared test for marginal homogenity in a symmetric two-dimensional contingency table.
LehmacherTest(x, y = NULL)
## S3 method for class 'mtest'
print(x, digits = 4L, ...)
| x | either a two-dimensional contingency table in matrix form, or a factor object. | 
| y | a factor object; ignored if x is a matrix. | 
| digits | 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:
| statistic | a vector with the value of the test statistics. | 
| parameter | the degrees of freedom, which is always 1 in LehmacherTest. | 
| p.value | a vector with the p-values of the single tests. | 
| p.value.corr | a vector with the "hochberg" adjusted p-values of the single tests. (See  | 
| method | a character string indicating what type of test was performed. | 
| data.name | a character string giving the name of the data. | 
Andri Signorell <andri@signorell.net>
Lehmacher, W. (1980) Simultaneous sign tests for marginal homogeneity of square contingency tables Biometrical Journal, Volume 22, Issue 8, pages 795-798
mcnemar.test (resp. BowkerTest for a CxC-matrix), StuartMaxwellTest, WoolfTest
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)
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