melt_check

If id.vars or measure.vars are missing, <code>melt_check</code> will do its
best to impute them. If you only supply one of id.vars and measure.vars,
melt will assume the remainder of the variables in the data set belong to
the other. If you supply neither, melt will assume discrete variables are
id variables and all other are measured.

Flexibly restructure and aggregate data using just two
functions: melt and 'dcast' (or 'acast').

Hadley Wickham

reshape2

Flexibly Reshape Data: A Reboot of the Reshape Package

melt_check function

<dl><dt>data</dt>
<dd>data frame</dd>
<dt>id.vars</dt>
<dd>vector of identifying variable names or indexes</dd>
<dt>measure.vars</dt>
<dd>vector of Measured variable names or indexes</dd>
<dt>variable.name</dt>
<dd>name of variable used to store measured variable names</dd>
<dt>value.name</dt>
<dd>name of variable used to store values</dd></dl>

Arguments

Check that input variables to melt are appropriate. — melt_check

<dl>

<dt>data</dt>
<dd>data frame</dd>


<dt>id.vars</dt>
<dd>vector of identifying variable names or indexes</dd>


<dt>measure.vars</dt>
<dd>vector of Measured variable names or indexes</dd>


<dt>variable.name</dt>
<dd>name of variable used to store measured variable names</dd>


<dt>value.name</dt>
<dd>name of variable used to store values</dd>

</dl>

melt_check: Check that input variables to melt are appropriate.

Description

Usage

Value

Arguments