Gives the inconsistencies between the total weight landed during the trip for the canneries and the sum of the weights of each landing for the canneries linked to the trip

Source: R/logbook_landing_total_weight_control.R

The purpose of the logbook_landing_total_weight_control function is to provide a table of data that contains an inconsistency between the sum of the weights of each landing for the canneries and the one indicated for the trip

logbook_landing_total_weight_control(
  dataframe1,
  dataframe2,
  output,
  epsilon = 0.01
)

Arguments

dataframe1

data.frame expected. Csv or output of the function data_extraction, which must be done before using the logbook_landing_total_weight_control () function.

dataframe2

data.frame expected. Csv or output of the function data_extraction, which must be done before using the logbook_landing_total_weight_control () function.

output

character expected.Kind of expected output. You can choose between "message", "report" or "logical".

epsilon

numeric expected, default : 0.01. Gives the threshold at which the difference is considered too large.

Value

The function returns a character with output is "message", a data.frame with output is "report", a logical with output is "logical"

Details

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

  • trip_id

  • trip_landingtotalweight

  • landing_id

  • landing_weight

  • trip_id

Examples

#Trip 1 and 4 are ok,
#Trip 2 has different landing weight,
#Trip 3 has no trip_landingtotalweight,
#Trip 5 has no landing_weight
dataframe1 <- data.frame(trip_id = c("1", "2", "3", "4", "5"),
                         trip_landingtotalweight = c(10, 15, NA, 0, 4))
dataframe2 <- data.frame(landing_id = c("1", "2", "3", "4", "5", "6"),
                         landing_weight = c(4, 6, 10, 6, 2, NA),
                         trip_id = c("1", "1", "2", "2", "3", "4"))
logbook_landing_total_weight_control(dataframe1, dataframe2, output = "report")
#>   trip_id logical trip_landingtotalweight sum_weightlanding
#> 1       1    TRUE                      10                10
#> 2       2   FALSE                      15                16
#> 3       3   FALSE                      NA                 2
#> 4       4    TRUE                       0                NA
#> 5       5   FALSE                       4                NA