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A simulated longitudinal dataset containing complete environmental exposure profiles and a count plant disease outcome. The dataset is intended for demonstrating poisson models in EpiExposure.

Usage

poisson_data

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.

block

Experimental block identifier.

time

Chronological time index within each epidemic profile.

tmean

Daily mean temperature in degrees Celsius.

wetness

Daily leaf wetness duration in hours.

rain

Daily rainfall in millimeters.

y

Non-negative count disease outcome repeated across the rows of each epidemic profile.

Source

Simulated for the EpiExposure package.

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("poisson_data", package = "EpiExposure")
head(poisson_data)
#>   epi_id block time    tmean  wetness      rain y
#> 1      1   B01    0 25.32685 14.55902 11.629805 5
#> 2      1   B01    1 25.72697 13.35332  0.000000 5
#> 3      1   B01    2 24.88694 13.00895  8.036259 5
#> 4      1   B01    3 26.04031 13.22694  0.000000 5
#> 5      1   B01    4 25.94690 15.30767  6.709351 5
#> 6      1   B01    5 24.85839 17.41708  8.826920 5