mda.subset {mdatools}

A wrapper for subset() method with proper set of attributed

Description

A wrapper for subset() method with proper set of attributed

Usage

mda.subset(x, subset = NULL, select = NULL)

Arguments

x

dataset (data frame or matrix)

subset

which rows to keep (indices, names or logical values)

select

which columns to select (indices, names or logical values)

Details

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.

Value

a data with the subset