valid_test

<code>valid_test</code> tests whether a vector has any invalid elements. Valid
values are specified by <code>valid</code>. If the vector <code>x</code> has any values
other than <code>valid</code>, then FALSE is returned; If the vector <code>x</code> only
has values in <code>valid</code>, then TRUE is returned. This function can be
useful for checking data after manual human entry.

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

valid_test function

<dl><dt>x</dt>
<dd>atomic vector or list vector.</dd>
<dt>valid</dt>
<dd>atomic vector or list vector of valid values.</dd>
<dt>na.rm</dt>
<dd>logical vector of length 1 specifying whether NA should be
ignored from the validity test. If TRUE (default), then any NAs are treated
as valid.</dd></dl>

Arguments

Test for Invalid Elements in a Vector — valid_test

<dl>

<dt>x</dt>
<dd>atomic vector or list vector.</dd>


<dt>valid</dt>
<dd>atomic vector or list vector of valid values.</dd>


<dt>na.rm</dt>
<dd>logical vector of length 1 specifying whether NA should be
ignored from the validity test. If TRUE (default), then any NAs are treated
as valid.</dd>

</dl>

valid_test: Test for Invalid Elements in a Vector

Description

Usage

Value

Arguments

See Also

Examples