R/logbook_harbour_control.R
logbook_harbour_control.Rd
The purpose of the logbook_harbour_control function is to provide a table of data that contains an inconsistency with the harbour of landing of the previous trip and the harbour of departure of the current trip
logbook_harbour_control(dataframe1, output)
data.frame expected. Csv or output of the function data_extraction, which must be done before using the logbook_harbour_control () function.
character expected. Kind of expected output. You can choose between "message", "report" or "logical".
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 :
trip_id
harbour_id_departure
harbour_label_departure
trip_previous_id
harbour_id_landing_trip_previous
harbour_label_landing_trip_previous
#Trip 1 and 2 are ok,
#Trip 3 has different harbour,
#Trip 4 has no harbour departure,
#Trip 5 has no harbour landing for trip previous
dataframe1 <- data.frame(trip_id = c("1", "2", "3", "4", "5"),
harbour_id_departure = c("1", "2", "3", NA, "1"),
harbour_label_departure = c("Harbour_1", "Harbour_2", "Harbour_3", NA,
"Harbour_1"),
trip_previous_id = c(NA, "1", "2", NA, "6"),
harbour_id_landing_trip_previous = c(NA, "2", "2", NA, NA),
harbour_label_landing_trip_previous = c(NA, "Harbour_2", "Harbour_2", NA,
NA))
logbook_harbour_control(dataframe1, output = "report")
#> trip_id logical harbour_label_landing_trip_previous harbour_label_departure
#> 1 1 TRUE <NA> Harbour_1
#> 2 2 TRUE Harbour_2 Harbour_2
#> 3 3 FALSE Harbour_2 Harbour_3
#> 4 4 FALSE <NA> <NA>
#> 5 5 FALSE <NA> Harbour_1