cleanDataFrame

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.

internal

Tools for data importation, recoding, and inspection.
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. In version 1.7,
the function 'semTable' is removed. It was deprecated since 1.67.
That is provided in a separate package, 'semTable'.

Paul Johnson

kutils

Project Management Tools

Benjamin Kite

Charles Redmon

Jared Harpole

Kenna Whitley

Po-Yi Chen

Shadi Pirhosseinloo

cleanDataFrame function

<dl><dt>dframe</dt>
<dd>A data frame</dd>
<dt>safeNumericToInteger</dt>
<dd>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>.</dd>
<dt>trimws</dt>
<dd>Defaults as "both", in meaning of <code>which</code>
argument in <code>trimws</code> function. Set as NULL if character
variables must not be trimmed to eliminate white
space. Otherwise, value should be one of <code>c("left",
"right", "both")</code>.</dd></dl>

Arguments

Paul Johnson &lt;pauljohn@ku.edu&gt;

Author

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

<dl>

<dt>dframe</dt>
<dd>A data frame</dd>


<dt>safeNumericToInteger</dt>
<dd>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>.</dd>


<dt>trimws</dt>
<dd>Defaults as "both", in meaning of <code>which</code>
argument in <code>trimws</code> function. Set as NULL if character
variables must not be trimmed to eliminate white
space. Otherwise, value should be one of <code>c("left",
"right", "both")</code>.</dd>

</dl>

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

Description

Usage

Value

Arguments

Author