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Number of detected animals between two sampling seasons

Source: R/nbtw_seasons.R
nbtw_seasons.Rd

Gives an numeric overview of individuals captured within the second sampling season compared tho the first one.

Usage

nbtw_seasons(
  animal_id,
  capture_date,
  season1_start,
  season1_end,
  season2_start,
  season2_end
)

Arguments

animal_id

A column in the dataframe of all samples that stores individual animal identifier code.

capture_date

A column in the dataframe of all samples that stores the date of sample collection. Must be in Date format.

season1_start

String in Date format. Start of fist capture season. Start and end date are included in the capture season.

season1_end

String in Date format. End of fist capture season. Start and end date are included in the capture season.

season2_start

String in Date format. Start of second capture season. Start and end date are included in the capture season.

season2_end

String in Date format. End of second capture season. Start and end date are included in the capture season.

Value

A data frame with one row and six columns corresponding to season 1 and 2 start and end dates, number of detected animals in season 2 (total_cap), number of new detentions in season 2 (new_captures), umber of animals from season 1 detected within season 2 (recaptured) and number of individuals skipped in season 2 but detected after the end of that season (skipped).

Examples

# Calculate the number of animals detected between two sampling seasons.
nbtw_seasons(
 animal_id = wolf_samples$AnimalRef,
 capture_date = wolf_samples$Date,
 season1_start = as.Date("2017-01-01"),
 season1_end = as.Date("2017-12-31"),
 season2_start = as.Date("2018-01-01"),
 season2_end = as.Date("2018-12-31")
)
#>                   season1                 season2 total_cap new_captures
#> 1 2017-01-01 - 2017-12-31 2018-01-01 - 2018-12-31        12            4
#>   recaptures skipped
#> 1          8       2