freq

Retrieves the frequency and percentage for input

Around 10% of almost any predictive modeling project is spent in predictive modeling, 'funModeling' and the book Data Science Live Book (<https://livebook.datascienceheroes.com/>) are intended to cover remaining 90%: data preparation, profiling, selecting best variables 'dataViz', assessing model performance and other functions.

Pablo Casas

funModeling

Exploratory Data Analysis and Data Preparation Tool-Box

freq function

<dl><dt>data</dt>
<dd>input data containing the variable to describe</dd>
<dt>input</dt>
<dd>string input variable (if empty, it runs for all numeric variable), it can take a single character value or a character vector.</dd>
<dt>plot</dt>
<dd>flag indicating if the plot is desired, TRUE by default</dd>
<dt>na.rm</dt>
<dd>flag indicating if NA values must be included in the analysis, FALSE by default</dd>
<dt>path_out</dt>
<dd>path directory, if it has a value the plot is saved</dd></dl>

Arguments

Frequency table for categorical variables — freq

<dl>

<dt>data</dt>
<dd>input data containing the variable to describe</dd>


<dt>input</dt>
<dd>string input variable (if empty, it runs for all numeric variable), it can take a single character value or a character vector.</dd>


<dt>plot</dt>
<dd>flag indicating if the plot is desired, TRUE by default</dd>


<dt>na.rm</dt>
<dd>flag indicating if NA values must be included in the analysis, FALSE by default</dd>


<dt>path_out</dt>
<dd>path directory, if it has a value the plot is saved</dd>

</dl>

freq: Frequency table for categorical variables

Description

Usage

Value

Arguments

Examples