Rowwise Frequencies
Computes the frequencies of the levels that the categorical variables in a matrix show.
rowFreqs(x, levels = 1:3, divide.by.n = FALSE, affy = FALSE,
includeNA = FALSE, useNN = c("not", "only", "also"), check = TRUE)x |
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 |
vector specifying the levels that the categorical variables in |
divide.by.n |
should the numbers of observations showing the respective levels
be divided by the total number of observations, i.e.\ by |
affy |
logical specifying whether the SNPs in |
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 |
check |
should it be checked whether some of the variables show other levels than the one
specified by |
A matrix with the same number of rows as x containing for each variable the numbers
of observations showing the levels specified by levels.
Holger Schwender, holger.schwender@udo.edu
## Not run: # Generate a matrix containing data for 10 categorical # variables with levels 1, 2, 3. mat <- matrix(sample(3, 500, TRUE), 10) rowFreqs(mat) # leads to the same results as rowTables(mat) / ncol(mat) # If mat contains missing values mat[sample(500, 20)] <- NA # then rowFreqs(mat) # leads to the same result as rowTables(mat) / rowSums(!is.na(mat)) ## End(Not run)
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