nrow_ml

<code>nrow_ml</code> computes the number rows in the data as well as the number of
groups in the data. This corresponds to the within-group sample size and
between-group sample size (ignoring any missing data). This is simply a
combination of <code>nrow</code> + <code>ngrp</code>.

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

nrow_ml function

<dl><dt>data</dt>
<dd>data.frame of data.</dd>
<dt>grp.nm</dt>
<dd>character vector of colnames from <code>data</code> specifying the
grouping variables.</dd></dl>

Arguments

Multilevel Number of Rows — nrow_ml

<dl>

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


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

</dl>

nrow_ml: Multilevel Number of Rows

Description

Usage

Value

Arguments

See Also

Examples