AkadoR check added :
- obs_catch_or_sample_fate_unknown_control.R : Identifies in the observer data catches or samples where fate code 9 (other) or 11 (discarded unknown) were used
- obs_catch_or_sample_fate_by_species_group_control.R : Identifies in the observer data all the species with an inconsistent fate according to their species group.
- logbook_floating_object_part_dimensions_when_leaving_control.R : Identification of incoherent between the number of dimensions element of part of objects DFAD for floating object when leaving and the object operation
- logbook_floating_object_operation_buoy_control.R : Identification of incoherent between the floating object operation and buoy operation
- logbook_floating_object_part_DFAD_when_leaving_control.R : Identification of incoherent between the number of element of part of objects DFAD for floating object when leaving and the object operation
- function_reason_for_discard_unknown_control.R : Rename obs_catch_reason_for_discard_unknown_control.R
- logbook_floating_object_part_when_leaving_control.R : Rename logbook_floating_object_part_when_arriving_and_leaving_control.R
- logbook_position_control.R : Patch if dataframe1 and dataframe2 are empty
AkadoR check added :
- logbook_buoy_time_control.R : Identification of incoherent between the time elapsed for an operation on the same buoy
- logbook_floating_object_part_when_leaving_control.R : Identification of incoherent between the number of part of objects for floating object when arriving and when leaving
- function_reason_for_discard_unknown_control.R : Identifies in the observer data cases where the reason for discard is 99 or NA
- logbook_vessel_activity_floating_object_missing_buoy_control.R : Add argument object_operation for filter
- logbook_raising_factor_control.R : Change value accepted for argument country_species (add possibility to pass vector with species FAO code for country_species for all countries)
- logbook_anapo_control.R : Patch if activity at the time of the summer/winter time change
AkadoR check added :
- logbook_observed_system_floatting_object_pair_control.R : Identification of incoherent between the presence of floatting object and observed system
- logbook_vessel_activity_object_operation_control.R : Identification of incoherent vessel activity and object operation
- logbook_buoy_owner_control.R : Identification of an inconsistent buoy whose owner is missing
- logbook_buoy_code_control.R : Identification of an inconsistent buoy code and buoy type naming convention
- logbook_sampleactivity_well_sampled_control.R : Identification of an inconsistencies between the sampling activity and well sampled plan trip
- logbook_length_class_control.R : Remove argument species and add lower threshold in argument threshold
- logbook_weighting_sample_control.R : Change definition well sampled, add column trip_id for dataframe1 and dataframe2
AkadoR check added :
- logbook_vessel_activity_missing_floating_object_control.R : Identification of incoherent vessel activity and missing floating object
- logbook_operationobjet_observedsystem_control.R : Identification of incoherent operation objet and observed system
- logbook_floating_object_part_material_control.R : Identification of incoherent floating object material
- logbook_vessel_activity_floating_object_missing_buoy_control.R : Identification of incoherent vessel activity and missing buoy
- logbook_super_sample_number_control.R : Add check continuous numbering of sub-samples
AkadoR check added :
- logbook_weigh_catch_well_control.R : Identification of incoherent the catch weight and weight in well
- logbook_weighting_sample_control.R : Remove dataframe3 and species_fate (Remove comparaison weighted weight with catch and add comparaison weighted weight with well)
- logbook_well_number_control.R : Add contraint activity_id
- logbook_floating_object_buoy_id_redundancy_control.R : Patch function
- logbook_anapo_control.R : Remove argument threshold_number_vms (remove check min 20 VMS)
AkadoR check added :
- logbook_floating_object_buoy_id_redundancy_control.R : Identification of incoherent buoy operation on a same object
- logbook_temporal_limit_control.R : Add dataframe3 with activity_id (Patch route without activity)
AkadoR check added :
- logbook_activity_sample_control.R : Gives inconsistencies between the sample and the activity in terms of presence
- logbook_anapo_activity_control.R : Gives the inconsistencies between the VMS and the presence of activity
- logbook_anapo_control.R : Gives the inconsistencies activity position and VMS position
- logbook_category_species_forbidden_well_control. R : Gives the inconsistencies between the weight categories and the species in the well
- logbook_distribution_control.R : Gives the inconsistencies between the weights of small and big sample fish and the sum of the small and big weights in the associated well
- logbook_eez_control.R : Gives the inconsistencies between the fishing area declared and calculated for the activity
- logbook_fishing_context_control.R : Gives the inconsistencies between the school type and the association
- logbook_fishing_time_control.R : Gives the inconsistencies between the sum of the fishing times indicated for the route and the one indicated for the trip
- logbook_harbour_control.R : Gives the inconsistencies between the harbour of landing of the previous trip and the harbour of departure of the current trip
- logbook_landing_control.R : Gives the inconsistencies between the total landed weight for canneries and local market in the trip and vessel capacity link to trip
- logbook_landing_total_weight_control.R : 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
- logbook_ldlf_control.R : Gives the inconsistencies between the sample measurement types and species or weight values
- logbook_length_class_control.R : Gives the inconsistencies between size class of the samples depending on the species and measurement type and the valid threshold
- logbook_little_big_control.R : Gives the inconsistencies between the percentage of little and big fish sampled
- logbook_measure_control.R : Gives the inconsistencies between the total number of individuals measured per sample and the sum of individuals per sample, species and size class
- logbook_operation_control.R : Gives the inconsistencies between fishing success status, vessel activity, type of school or weight caught
- logbook_position_control.R : Gives the inconsistencies between the ocean declared for the trip and the position of the activity
- logbook_raising_factor_control.R : Gives the inconsistencies between RF1 and threshold values
- logbook_sample_harbour_control.R : Gives inconsistencies between the presence of a sample and the absence of a harbour of landing
- logbook_sample_without_measure_control.R : Gives inconsistencies between the sample and the measurement in terms of presence
- logbook_sample_without_species_control.R : Gives inconsistencies between the sample and the species sampled in terms of presence
- logbook_sea_time_control.R : Gives the inconsistencies between the sum of the sea times indicated for the route and the one indicated for the trip
- logbook_species_control.R : Gives the inconsistencies between species sampled and species authorized
- logbook_super_sample_number_control.R : Gives the inconsistencies between the sample and the subsample number
- logbook_temperature_control.R : Gives the inconsistencies between activity sea surface temperature and valid threshold
- logbook_temporal_limit_control.R : Gives the inconsistencies between trip start and end date and the dates of activity
- logbook_time_route_control.R : Gives the inconsistencies between the fishing times or sea times indicated for the route and activities carried out
- logbook_trip_activity_control.R : Gives the inconsistencies between the trip and the associated activities in terms of presence
- logbook_weight_control.R : Gives the inconsistencies between the sum of the weight indicated for catches and the one indicated for the activity
- logbook_weight_sample_control.R : Gives the inconsistencies between the sample weight (m10 and p10) and the global sample weight
- logbook_weighting_control.R : Gives the inconsistencies between the sample weighting and sample weight or landed weight
- logbook_weighting_sample_control.R : Gives the inconsistencies between the sample weighting and catch weight
- logbook_well_number_control.R : Gives the inconsistencies between sample well number and associated trip well numbers
- r_type_checking.R : Add Date to choices for argument type
- r_type_checking.R : Add PqConnection to choices for argument type
- sample_with_no_fate_control.R, sex_control.R, fate_by_species_group_control.R, weight_null_control.R : Add parametre export_table
- measure_type_correction.R, sample_with_no_fate_correction.R : Remove condition on database name + Add of the case where there is no sample
- weight_null_control.R : Change filter for catch and sample (preservation of tuna destined for the cannery)
- fate_by_species_group_control.R : Add percentage of automatic corrections that can be made
- size_distribution_and_outliers_control.R : Invert colors in the plot
- observe_sex.sql : Sex id, code and label mapping table
- sex_correction.R : Corrects the samples with an incorrect sex
- weight_null_correction.R : Corrects the samples with weight = 0
- round_size_control.R : Controls the accuracy (decimals) of size samples
- round_size_correction.R : Corrects unrounded size samples to the inferior centimeter (or half centimeter for PD1)
- fate_by_species_group_correction.R : Corrects erroneous fate in catch and samples for species according to the species group
- check_species_catch_ocean.R, marine_area_overlay_control.R : Remove importFrom
- measure_type_correction.R, sample_with_no_fate_correction.R : Add authors and note to function descriptions
- sex_control function : Check the coherence of the sex of a sample according to the possibility of sexing this species
- observed_system_vs_species_caught_control function : Identifies in the Observer data any inconsistencies between observed systems and species caught
- observed_systems_vs_species_caught sql
- fate_unknown_control function : Identifies in the observer data cases where fate code 9 (other) or 11 (discarded unknown) were used
- fate_by_species_group_control function : Identifies in the observer data all the species with an inconsistent fate according to their species group
- weight_null_control function : Identifies in the observer data all individual weights = 0 or NA
- reason_for_discard_unknown_control function : Identifies in the observer data cases where the reason for discard is 99 or NA
- fate_code_9_control function : Identifies in the Observer data all the fate code 9 and the comment associated
- all_species_control.R, fate_code_9_control.R, measure_type_control.R, more_samples_than_count.R, sample_with_no_fate_control.R, size_distribution_and_outliers_control.R : Add authors and note to function descriptions
- Citation.cff
- Add check_raising_factor_inspector function
- Start of version number