scale_df

Center or standardize variables in a data frame

The Radiant Model menu includes interfaces for linear and logistic
regression, naive Bayes, neural networks, classification and regression trees,
model evaluation, collaborative filtering, decision analysis, and simulation.
The application extends the functionality in 'radiant.data'.

Vincent Nijs

radiant.model

Model Menu for Radiant: Business Analytics using R and Shiny

scale_df function

<dl><dt>dataset</dt>
<dd>Data frame</dd>
<dt>center</dt>
<dd>Center data (TRUE or FALSE)</dd>
<dt>scale</dt>
<dd>Scale data (TRUE or FALSE)</dd>
<dt>sf</dt>
<dd>Scaling factor (default is 2)</dd>
<dt>wts</dt>
<dd>Weights to use (default is NULL for no weights)</dd>
<dt>calc</dt>
<dd>Calculate mean and sd or use attributes attached to dat</dd></dl>

Arguments

Center or standardize variables in a data frame — scale_df

<dl>

<dt>dataset</dt>
<dd>Data frame</dd>


<dt>center</dt>
<dd>Center data (TRUE or FALSE)</dd>


<dt>scale</dt>
<dd>Scale data (TRUE or FALSE)</dd>


<dt>sf</dt>
<dd>Scaling factor (default is 2)</dd>


<dt>wts</dt>
<dd>Weights to use (default is NULL for no weights)</dd>


<dt>calc</dt>
<dd>Calculate mean and sd or use attributes attached to dat</dd>

</dl>

scale_df: Center or standardize variables in a data frame

Description

Usage

Value

Arguments