aggregate_cases

Aggregates a data frame containing disease cases in space and/or
time.

A collection of commonly used visualizations of temporal and
spatio-temporal health data including case counts, incidence rates, and
covariates. The available plot types include time series, heatmaps,
seasonality plots, maps and more. The package supports standard data
transformations such as temporal and spatial aggregations, while
offering extensive customization options for the resulting figures.

Carles Milà

GHRexplore

Exploratory Analysis of Temporal and Spatio-Temporal Health Data

Giovenale Moirano

Anna B. Kawiecki

Rachel Lowe

aggregate_cases function

<dl><dt>data</dt>
<dd>Data frame containing equally spaced
(daily, weekly, monthly) incident cases for one or multiple areas.</dd>
<dt>cases</dt>
<dd>Name of the variable that identifies the cases.</dd>
<dt>pop</dt>
<dd>Name of the variable that identifies the population.</dd>
<dt>time</dt>
<dd>Name of the variable that identifies the temporal dimension.
The values must be in date format ("yyyy-mm-dd")
representing the day of observation for daily data, the first day of the
week for weekly, or the first day of the month for monthly observations.</dd>
<dt>area</dt>
<dd>Name of variable that identifies the different locations
(e.g., areal units) for which a time series is available.</dd>
<dt>pt</dt>
<dd>Scale of the person-time (default 100,000) for incidence rates.</dd>
<dt>aggregate_space</dt>
<dd>Name of variable used to define spatial aggregation groups.</dd>
<dt>aggregate_time</dt>
<dd>Temporal scale used to perform
temporal aggregation. Options are: "week" (ISO 8601), "month", "year".</dd></dl>

Arguments

Aggregate cases — aggregate_cases

<dl>

<dt>data</dt>
<dd>Data frame containing equally spaced
(daily, weekly, monthly) incident cases for one or multiple areas.</dd>


<dt>cases</dt>
<dd>Name of the variable that identifies the cases.</dd>


<dt>pop</dt>
<dd>Name of the variable that identifies the population.</dd>


<dt>time</dt>
<dd>Name of the variable that identifies the temporal dimension.
The values must be in date format ("yyyy-mm-dd")
representing the day of observation for daily data, the first day of the
week for weekly, or the first day of the month for monthly observations.</dd>


<dt>area</dt>
<dd>Name of variable that identifies the different locations
(e.g., areal units) for which a time series is available.</dd>


<dt>pt</dt>
<dd>Scale of the person-time (default 100,000) for incidence rates.</dd>


<dt>aggregate_space</dt>
<dd>Name of variable used to define spatial aggregation groups.</dd>


<dt>aggregate_time</dt>
<dd>Temporal scale used to perform
temporal aggregation. Options are: "week" (ISO 8601), "month", "year".</dd>

</dl>

aggregate_cases: Aggregate cases

Description

Usage

Value

Arguments