factorToDataframeLogical

fctr

defaults to "f" to pre-pend the factor level when constructing
the data frame columns names

prefix

scalar character, introduced between factor names and levels when
forming new data frame column names

logical scalar: if NA data and/or NA levels, then covert to NA
strings and expand these as for any other factor

na.rm

single logical value, if <code>TRUE</code> then produce verbose
messages

verbose

converts a single factor into a data.frame with multiple T/F
 fields, one for each factor

This is a set of simple utilities for various data manipulation and testing tasks.
The goal is to use base tools well, without bringing in many
dependencies. Main areas of interest are semi-automated data frame manipulation, such as
converting factors in multiple binary indicator columns. There are testing
functions which provide 'testthat' expectations to permute arguments to
function calls. There are functions and data to test extreme numbers, dates,
and bad input of various kinds which should allow testing failure and corner
cases, which can be used for fuzzing your functions. The test suite has many examples of usage.

factorToDataframeLogical: convert factor into a data.frame of logicals

Description

Usage

Arguments

Value