Selects and standardises the staying-time and censoring columns from a detection table and attaches per-station covariates.
Usage
ct_rest_stay(
detection_data,
station_data,
station_column = "Station",
species_column = "Species",
stay_column = "Stay",
censor_column = "Cens"
)Arguments
- detection_data
A data frame with one row per video / detection.
- station_data
A data frame with one row per camera station.
- station_column, species_column
Columns giving the station ID and species in
detection_data.- stay_column
Column holding the staying time in seconds.
- censor_column
Column holding the censoring flag (1 = censored, 0 = fully observed).
Value
A tibble with columns Station, Species, Stay, Cens plus any
station covariates, ready for ct_fit_rest().
Examples
data(rest_detection)
data(rest_station)
# Column names can be strings, bare names, or positions:
stay <- ct_rest_stay(rest_detection, rest_station, stay_column = Stay)
head(stay)
#> # A tibble: 6 × 5
#> Station Species Stay Cens Habitat
#> <chr> <chr> <dbl> <int> <chr>
#> 1 ST01 Red duiker 5.4 0 forest
#> 2 ST01 Red duiker 2.6 0 forest
#> 3 ST01 Red duiker 3.9 0 forest
#> 4 ST01 Red duiker 6 0 forest
#> 5 ST01 Red duiker 2.5 0 forest
#> 6 ST01 Red duiker 7.3 0 forest