R/logbook_length_class_control.R
logbook_length_class_control.Rd
The purpose of the logbook_length_class_control function is to provide a table of data that contains an inconsistency between the size class of the samples depending on the species and measurement type and the valid threshold (Default : 80)
logbook_length_class_control(
dataframe1,
output,
species = c("YFT", "BET", "ALB"),
size_measure_type = "FL",
threshold = 80
)
data.frame expected. Csv or output of the function data_extraction, which must be done before using the logbook_length_class_control () function.
character expected. Kind of expected output. You can choose between "message", "report" or "logical".
character expected. Default values: c("YFT", "BET", "ALB"). Vector of the species inventory controlled.
character expected. Default values: "FL". Vector of the size measure type controlled.
numeric expected. Default values: 80. Maximum size threshold measured
The function returns a character with output is "message", a data.frame with output is "report", a logical with output is "logical"
The input dataframe must contain all these columns for the function to work :
samplespeciesmeasure_id
species_fao_code
sizemeasuretype_code
samplespeciesmeasure_sizeclass
#Activity 1, 2 and 3 are ok,
#Activity 4 has size class is greater than threshold,
#Activity 5 has size class is missing
dataframe1 <- data.frame(samplespeciesmeasure_id = c("1", "2", "3", "4", "5"),
species_fao_code = c("YFT", "YFT", "LTA", "YFT", "YFT"),
sizemeasuretype_code = c("FL", "PD1", "FL", "FL", "FL"),
samplespeciesmeasure_sizeclass = c(10, 90, 85, 83, NA))
logbook_length_class_control(dataframe1, output = "report")
#> samplespeciesmeasure_id logical samplespeciesmeasure_sizeclass
#> 1 1 TRUE 10
#> 2 2 TRUE 90
#> 3 3 TRUE 85
#> 4 4 FALSE 83
#> 5 5 FALSE NA