df_to_matrix

Convert a long data frame to a wide matrix, with time along the row dimension
and locations along the column dimension. Values in the matrix could be e.g.
the observed counts or the population.

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

df_to_matrix function

<dl><dt>df</dt>
<dd>A data frame with at least 3 columns.</dd>
<dt>time_col</dt>
<dd>Integer or string that specifies the time column.</dd>
<dt>location_col</dt>
<dd>Integer or string that specifies the location column.</dd>
<dt>value_col</dt>
<dd>Integer or string that specifies the value column.</dd></dl>

Arguments

Convert a long data frame to a wide matrix. — df_to_matrix

<dl>

<dt>df</dt>
<dd>A data frame with at least 3 columns.</dd>


<dt>time_col</dt>
<dd>Integer or string that specifies the time column.</dd>


<dt>location_col</dt>
<dd>Integer or string that specifies the location column.</dd>


<dt>value_col</dt>
<dd>Integer or string that specifies the value column.</dd>

</dl>

df_to_matrix: Convert a long data frame to a wide matrix.

Description

Usage

Value

Arguments