The data must follow all requirements to not error. This format is required for usage of the bbou suite of tools.
Usage
bbd_chk_data_recruitment(
data,
x_name = deparse(substitute(data)),
multi_population = FALSE,
allow_missing = FALSE
)Format
The data must follow the requirements:
- PopulationName
Name of the herd or population
- Year
The calendar year the observation occurred. Must be a positive integer.
- Month
The calendar month the observation occurred. Must be an integer between 1 and 12.
- Day
The day the observation occurred. Must be an integer between 1 and 31.
- Cows
The total number of cows counted in each group in a survey/year. Must be a positive integer.
- Bulls
The total number of bulls counted in each group in a survey/year. Must be a positive integer
- UnknownAdults
The total number of adults counted that the sex could not be identified in each group in a survey/year. Must be a positive integer.
- Yearlings
The total number of yearlings that did not have the sex identified in each group in a survey/year. Must be a positive integer.
- Calves
The total number of calves counted in each group in a survey/year. Must be a positive integer.
Arguments
- data
The data.frame to check.
- x_name
A string of the name of the data.frame.
- multi_population
A flag indicating whether to accept multiple populations.
- allow_missing
A flag indicating whether to accept placeholder rows for unobserved years. When TRUE, rows with all-NA measurement columns (Month, Day, Cows, Bulls, UnknownAdults, Yearlings, Calves) are permitted. These rows signal unobserved years to the model.
Examples
bbd_chk_data_recruitment(bbourecruit_a)
bbd_chk_data_recruitment(bbourecruit_b)
bbd_chk_data_recruitment(bbourecruit_c)
# this example will error as it doesn't follow the requirements
x <- bbourecruit_a
x[1, 4] <- 32L
try(bbd_chk_data_recruitment(x))
#> Error in bbd_chk_data_recruitment(x) :
#> Column Day of x must have values between 1 and 31.