dummy

The normal way to store cathegorical variables in R is to use
factors, each modality being a level of this factor. Sometimes
however, is is more convenient to use a set of dummy variables.

misc

Functions, data sets and examples for the book: Yves Croissant (2024) "Microeconometrics with R", Chapman and Hall/CRC The R Series. The package includes a set of estimators for models used in microeconometrics, especially for count data and limited dependent variables. Test functions include score test, Hausman test, Vuong test, Sargan test and conditional moment test. A small subset of the data set used in the book is also included.

Yves Croissant

micsr

Microeconometrics with R

dummy function

<dl><dt>x</dt>
<dd>a data frame</dd>
<dt>...</dt>
<dd>series of the data frame, should be factors</dd>
<dt>keep</dt>
<dd>a boolean, if <code>TRUE</code>, the original series is kept in
the data frame,</dd>
<dt>prefix</dt>
<dd>an optional prefix for the names of the computed
dummies,</dd>
<dt>ref</dt>
<dd>a boolean, if <code>TRUE</code>, a dummy is created for all the
levels, including the reference level</dd></dl>

Arguments

Transform a factor in a set of dummy variables — dummy

<dl>

<dt>x</dt>
<dd>a data frame</dd>


<dt>...</dt>
<dd>series of the data frame, should be factors</dd>


<dt>keep</dt>
<dd>a boolean, if <code>TRUE</code>, the original series is kept in
the data frame,</dd>


<dt>prefix</dt>
<dd>an optional prefix for the names of the computed
dummies,</dd>


<dt>ref</dt>
<dd>a boolean, if <code>TRUE</code>, a dummy is created for all the
levels, including the reference level</dd>

</dl>

dummy: Transform a factor in a set of dummy variables

Description

Usage

Value

Arguments

Examples