countNonNaPairs

<p>cycles through the given data frame twice, and applies logical
  OR to all elements of each column it then counts how many of these pairs
  are not-na, i.e. have at least one non-NA value TODO: tests</p>

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.

Jack O Wasey

jwutil

countNonNaPairs: count which combinations of fields have at least one non-NA

Description

Usage

Arguments

Value