revalids

<code>revalids</code> recodes invalid data to specified values. For example,
sometimes invalid values are present in a vector of data (e.g., age = -1).
This function allows you to specify which values are possible and will then
recode any impossible values to <code>undefined</code>. <code>revalids</code> is simply a
vectorized version of <code>revalid</code> to more easily revalid multiple columns
of a data.frame at the same time.

Offers a suite of functions to prepare questionnaire data for analysis (perhaps other types of data as well). By data preparation, I mean data analytic tasks to get your raw data ready for statistical modeling (e.g., regression). There are functions to investigate missing data, reshape data, validate responses, recode variables, score questionnaires, center variables, aggregate by groups, shift scores (i.e., leads or lags), etc. It provides functions for both single level and multilevel (i.e., grouped) data. With a few exceptions (e.g., ncases()), functions without an "s" at the end of their primary word (e.g., center_by()) act on atomic vectors, while functions with an "s" at the end of their primary word (e.g., centers_by()) act on multiple columns of a data.frame.

David Disabato

quest

Prepare Questionnaire Data for Analysis

revalids function

<dl><dt>data</dt>
<dd>data.frame of data.</dd>
<dt>vrb.nm</dt>
<dd>character vector of colnames from <code>data</code> specifying the
variables.</dd>
<dt>valid</dt>
<dd>atomic vector of valid values for the data. Note, the valid
values must be the same for each variable.</dd>
<dt>undefined</dt>
<dd>atomic vector of length 1 specifying what the invalid values
should be recoded to.</dd>
<dt>suffix</dt>
<dd>character vector of length 1 specifying the string to add to
the end of the colnames in the return object.</dd></dl>

Arguments

Recode Invalid Values from Data — revalids

<dl>

<dt>data</dt>
<dd>data.frame of data.</dd>


<dt>vrb.nm</dt>
<dd>character vector of colnames from <code>data</code> specifying the
variables.</dd>


<dt>valid</dt>
<dd>atomic vector of valid values for the data. Note, the valid
values must be the same for each variable.</dd>


<dt>undefined</dt>
<dd>atomic vector of length 1 specifying what the invalid values
should be recoded to.</dd>


<dt>suffix</dt>
<dd>character vector of length 1 specifying the string to add to
the end of the colnames in the return object.</dd>

</dl>

revalids: Recode Invalid Values from Data

Description

Usage

Value

Arguments

See Also

Examples