A simulated longitudinal dataset containing complete environmental exposure profiles and a continuous plant disease outcome expressed as a proportion. The dataset is intended for demonstrating beta regression and the main modeling, interpretation, simulation, and prediction workflows available in EpiExposure.
Format
A data frame with rows representing temporal observations within epidemic exposure profiles and the following variables:
- epi_id
Unique numeric identifier for each epidemic.
- time
Chronological time index within each epidemic profile.
- tmean
Daily mean temperature in degrees Celsius.
- rain
Daily rainfall in millimeters.
- wetness
Daily leaf wetness duration in hours.
- y
Continuous disease response expressed as a proportion strictly between 0 and 1 and repeated across the rows of each epidemic profile.
Details
The response is repeated across the temporal rows belonging to the same epidemic because each complete exposure profile is associated with one final epidemic-level disease outcome.
Examples
data("epi_data", package = "EpiExposure")
head(epi_data)
#> # A tibble: 6 × 6
#> epi_id time tmean rain wetness y
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1 0 22.0 0 8.83 0.330
#> 2 1 1 21.5 0 11.9 0.330
#> 3 1 2 21.5 5.38 12.5 0.330
#> 4 1 3 21.8 14.6 12.3 0.330
#> 5 1 4 20.8 0 11.4 0.330
#> 6 1 5 23.0 8.24 7.98 0.330