wide

<code>wide()</code> is a wrapper of <code><a href="/link/stats%3A%3Areshape()?package=furniture&version=1.9.14" data-mini-rdoc="furniture::stats::reshape()">stats::reshape()</a></code> that takes the data 
from a long format to a wide format.

Contains four main functions (i.e., four pieces of furniture):
table1() which produces a well-formatted table of descriptive statistics common as Table 1
in research articles, tableC() which produces a well-formatted table of correlations,
tableF() which provides frequency counts, and washer() which
is helpful in cleaning up the data. These furniture-themed functions are designed
to simplify common tasks in quantitative analysis. Other data summary and cleaning tools
are also available.

Tyson S. Barrett

furniture

Furniture for Quantitative Scientists

Emily Brignone

Daniel J. Laxman

wide function

<dl><dt>data</dt>
<dd>the data.frame containing the wide format data</dd>
<dt>v.names</dt>
<dd>the variable names in quotes of the measures to be separated into multiple columns based on the time variable</dd>
<dt>timevar</dt>
<dd>the variable name in quotes of the time variable</dd>
<dt>id</dt>
<dd>the ID variable name in quotes</dd></dl>

Arguments

Author

<code>wide()</code> is a wrapper of <code><a href='https://rdrr.io/r/stats/reshape.html'>stats::reshape()</a></code> that takes the data 
from a long format to a wide format.

Long to Wide Data Reshaping — wide

<dl>

<dt>data</dt>
<dd>the data.frame containing the wide format data</dd>


<dt>v.names</dt>
<dd>the variable names in quotes of the measures to be separated into multiple columns based on the time variable</dd>


<dt>timevar</dt>
<dd>the variable name in quotes of the time variable</dd>


<dt>id</dt>
<dd>the ID variable name in quotes</dd>

</dl>

wide: Long to Wide Data Reshaping

Description

Usage

Arguments

Author

See Also