Catch or sample outliers control

Source: R/obs_catch_or_sample_outliers_control.R

Identifies for each species in the observer data the individuals with outliers lengths.

obs_catch_or_sample_outliers_control(data)

Arguments

data

data.frame expected. All catches or samples during the time range selected.

Value

The function returns one data.frame.

Details

The input dataframes must contain all these columns for the function to work :

  • catch_id

  • catch_meanlength

  • catch_meanlengthcomputedsource

  • species_minlength

  • species_maxlength

Or

  • samplemeasure_id

  • sample_length

  • sample_islengthcomputed

  • species_minlength

  • species_maxlength

Note

Version 1.0

Author

Chloé Tellier, Esther Mollier, Flore Moussy, Philippe S. Sabarros

Examples

#Catch 1 is ok: the catch is 30 cm, its computed source is NA, its mean length is 10 and
#                its max length is 60,
#Catch 2 is not ok: the catch is 12 cm, its computed source is NA, its mean length is 10 and
#                   its max length is 60,
#Catch 3 is not ok: the catch is 59 cm, its computed source is NA, its mean length is 10 and
#                   its max length is 60,
#Catch 4 is not ok: the catch is 30 cm, its computed source is NA, its mean length is NA and
#                   its max length is NA.
catch <- data.frame(catch_id = c("1", "2", "3", "4"),
                    catch_meanlength = c(30, 12, 59, 30),
                    catch_meanlengthcomputedsource = c(NA_integer_, NA_integer_, NA_integer_,
                                                       NA_integer_),
                    species_minlength = c(10, 10, 10, NA),
                    species_maxlength = c(60, 60, 60, NA))
obs_catch_or_sample_outliers_control(catch)
#>   catch_id length species_minlength species_maxlength logical
#> 1        1     30                10                60    TRUE
#> 2        2     12                10                60   FALSE
#> 3        3     59                10                60   FALSE
#> 4        4     30                NA                NA   FALSE