check_vars

Function checks for variables in frame

Provides utilities for manipulating time series of location-based counts of events to detect geo-spatial clusters. Significance of these clusters is determined using a set of models that classify based on a learned relationship between observed and the log(observed/expected) ratio of counts. The approach implemented here is similar to prospective space-time estimation of clusters using the scan statistic.

Luke Mullany

gsClusterDetect

Utilities for Geo-Spatial Cluster Detection and Significance
Classification

Howard Burkom

check_vars function

<dl><dt>d</dt>
<dd>input data frame to check for variables</dd>
<dt>required</dt>
<dd>vector of column names that must be in `d`</dd></dl>

Arguments

check for variables in frame — check_vars

<dl>

<dt>d</dt>
<dd>input data frame to check for variables</dd>


<dt>required</dt>
<dd>vector of column names that must be in `d`</dd>

</dl>

check_vars: check for variables in frame

Description

Usage

Value

Arguments