Computes a one-dimensional table for each row of a matrix that summarizes
the values of the categorical variables represented by the rows of the matrix.
a matrix in which each row represents a categorical variable (e.g., a SNP)
and each column an observation, where the variables are assumed to show the
levels specified by levels. Missing values are allowed in x.
levels
vector specifying the levels that the categorical variables in x
show. Ignored if affy = TRUE.
affy
logical specifying whether the SNPs in x are coded in the Affymetrix
standard way. If TRUE, levels = c("AA", "AB", "BB") and useNN = "also"
will be used (the latter only when includeNA = TRUE).
includeNA
should a column be added to the output matrix containing the number of
missing values for each variable?
useNN
character specifying whether missing values can also be coded by "NN".
If useNN = "not" (default), missing values are assumed to be coded only by NA.
If "only", then missing values are assumed to be coded only by "NN" (and not
by NA. If "both", both "NN" and NA are considered. Ignored
if affy = TRUE.
check
should it be checked whether some of the variables show other levels than the one
specified by levels?
Value
A matrix with the same number of rows as x containing for each variable the numbers
of observations showing the levels specified by levels.
# NOT RUN {# Generate a matrix containing data for 10 categorical# variables with levels 1, 2, 3.mat <- matrix(sample(3, 500, TRUE), 10)
rowTables(mat)
# }