cleanDataFrame

dframe

<p>Default TRUE: Should we treat values
which appear to be integers as integers? If a column is
numeric, it might be safe to treat it as an integer.  In many
csv data sets, the values coded c(1, 2, 3) are really
integers, not floats c(1.0, 2.0, 3.0). See
<code>safeInteger</code>.</p>

safeNumericToInteger

<p>Checks that the data.frame is made up of simple individual
columns. Checks numeric columns to find out if they are
acceptable to treat as integers. If they are acceptable to
treat as integers, then convert those numeric to integer class
variables.</p>

internal

Tools for data importation, recoding, and inspection that
are used at the University of Kansas Center for Research Methods
and Data Analysis. There are functions to create new project
folders, R code templates, create uniquely named output
directories, and to quickly obtain a visual summary for each
variable in a data frame.  The main feature here is the systematic
implementation of the "variable key" framework for data
importation and recoding.  We are eager to have community feedback
about the variable key and the vignette about it.

Paul Johnson

kutils

Project Management Tools

Benjamin Kite

Kenna Whitley

Po-Yi Chen

cleanDataFrame function

Check and Clean data.frame for usage with variable key functions — cleanDataFrame

Check and Clean data.frame for usage with variable key functions

cleanDataFrame: Check and Clean data.frame for usage with variable key functions

Description

Usage

Arguments

Value