mcnemar.test(x, y = NULL, correct = TRUE)
x
| either a two-dimensional contingency table in matrix form, or a factor object. |
y
|
a factor object; ignored if x is a matrix.
|
correct
| a logical indicating whether to apply continuity correction when computing the test statistic. |
mcnemar.test
performs an McNemar's chi-square test for symmetry
of rows and columns in a two-dimensional contingency table. 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 of the same
length. Incomplete cases are removed, the vectors are coerced into
factor objects, and the contingency table is computed from these.
Continuity correction is only used in the 2-by-2 case if
correct
is TRUE
.
"htest"
containing the following components:
statistic
| the value of McNemar's statistic. |
parameter
| the degrees of freedom of the approximate chi-square distribution of the test statistic. |
p.value
| the p-value of the test. |
method
| a character string indicating the type of test performed, and whether continuity correction was used. |
data.name
| a character string giving the name(s) of the data. |