A wrapper for subset() method with proper set of attributed
mda.subset(x, subset = NULL, select = NULL)
a data with the subset
dataset (data frame or matrix)
which rows to keep (indices, names or logical values)
which columns to select (indices, names or logical values)
The method works similar to the standard subset()
method, with minor differences. First
of all it keeps (and correct, if necessary) all important attributes. If only columns are
selected, it keeps all excluded rows as excluded. If only rows are selected, it keeps all
excluded columns. If both rows and columns are selected it removed all excluded elements first
and then makes the subset.
The parameters subset
and select
may each be a vector with numbers or nanes
without excluded elements, or a logical expression.