matrix_to_df

Convert a matrix to a data frame with columns time, location, and one more
containing the elements of the input matrix.

internal

Detection of anomalous space-time clusters using the scan
statistics methodology. Focuses on prospective surveillance of data streams,
scanning for clusters with ongoing anomalies. Hypothesis testing is made
possible by Monte Carlo simulation. Allévius (2018) <doi:10.21105/joss.00515>.

Paul Romer Present

scanstatistics

Space-Time Anomaly Detection using Scan Statistics

Benjamin Allévius

matrix_to_df function

<dl><dt>mat</dt>
<dd>A matrix.</dd>
<dt>name</dt>
<dd>The name of the third column in the output matrix.</dd>
<dt>locations</dt>
<dd>If not <code>NULL</code>, a vector with the names of the 
locations.</dd>
<dt>times</dt>
<dd>If not <code>NULL</code>, a vector with the time points. If 
<code>NULL</code>, the matrix is assumed to be ordered with time point 1 in the 
first row.</dd></dl>

Arguments

Convert a matrix to a data frame. — matrix_to_df

<dl>

<dt>mat</dt>
<dd>A matrix.</dd>


<dt>name</dt>
<dd>The name of the third column in the output matrix.</dd>


<dt>locations</dt>
<dd>If not <code>NULL</code>, a vector with the names of the 
locations.</dd>


<dt>times</dt>
<dd>If not <code>NULL</code>, a vector with the time points. If 
<code>NULL</code>, the matrix is assumed to be ordered with time point 1 in the 
first row.</dd>

</dl>

matrix_to_df: Convert a matrix to a data frame.

Description

Usage

Value

Arguments