indicate_outliers

Creates new columns to indicate which values are outliers based on the average value.

A collection of functions that make it easier to understand crime (or other)
data, and assist others in understanding it. The package helps you read data
from various sources, clean it, fix column names, and graph the data.

Jacob Kaplan

crimeutils

A Comprehensive Set of Functions to Clean, Analyze, and Present
Crime Data

indicate_outliers function

<dl><dt>data</dt>
<dd>A data.frame</dd>
<dt>select_columns</dt>
<dd>A string or vector of strings with the name(s) of the numeric columns to check
for outliers. If NULL (default), will use all numeric columns in the data.</dd>
<dt>group_variable</dt>
<dd>A string with the name of the column with the grouping variable.</dd>
<dt>std_dev_value</dt>
<dd>A number indicating how many standard deviations away from the mean to
determine if a value is an outlier.</dd>
<dt>zero_is_outlier</dt>
<dd>If TRUE (not default), reports any zero value as an outlier.</dd></dl>

Arguments

Creates new columns to indicate which values are outliers based on the average value. — indicate_outliers

<dl>

<dt>data</dt>
<dd>A data.frame</dd>


<dt>select_columns</dt>
<dd>A string or vector of strings with the name(s) of the numeric columns to check
for outliers. If NULL (default), will use all numeric columns in the data.</dd>


<dt>group_variable</dt>
<dd>A string with the name of the column with the grouping variable.</dd>


<dt>std_dev_value</dt>
<dd>A number indicating how many standard deviations away from the mean to
determine if a value is an outlier.</dd>


<dt>zero_is_outlier</dt>
<dd>If TRUE (not default), reports any zero value as an outlier.</dd>

</dl>

indicate_outliers: Creates new columns to indicate which values are outliers based on the average value.

Description

Usage

Value

Arguments

Examples