Check that variable list has required elements for hts_prep_variable returns updated variable list or prompts error
Source:R/hts_validate_variable_list.R
hts_validate_variable_list.RdCheck that variable list has required elements for hts_prep_variable returns updated variable list or prompts error
Arguments
- variable_list
Name of the variable to summarize. Default is NULL
- hts_data
List of named tables specified in hts_prep_variable
Examples
hts_validate_variable_list(variable_list, test_data)
#> variable is_checkbox data_type
#> 1: age 0 categorical
#> 2: begin_day 0 categorical
#> 3: d_purpose_category 0 categorical
#> 4: day_id 0 numeric
#> 5: day_weight 0 integer
#> 6: delivery_2 1 integer/categorical
#> 7: delivery_3 1 integer/categorical
#> 8: delivery_4 1 integer/categorical
#> 9: delivery_5 1 integer/categorical
#> 10: delivery_6 1 integer/categorical
#> 11: delivery_7 1 integer/categorical
#> 12: delivery_8 1 integer/categorical
#> 13: delivery_996 1 integer/categorical
#> 14: distance_miles 0 numeric
#> 15: education 0 categorical
#> 16: employment 0 categorical
#> 17: end_day 0 categorical
#> 18: ethnicity_1 1 integer/categorical
#> 19: ethnicity_2 1 integer/categorical
#> 20: ethnicity_3 1 integer/categorical
#> 21: ethnicity_4 1 integer/categorical
#> 22: ethnicity_997 1 integer/categorical
#> 23: ethnicity_999 1 integer/categorical
#> 24: fuel_type 0 categorical
#> 25: gender 0 categorical
#> 26: hh_id 0 integer
#> 27: hh_weight 0 integer
#> 28: home_county 0 character
#> 29: home_lat 0 numeric
#> 30: home_lon 0 numeric
#> 31: income_detailed 0 categorical
#> 32: income_followup 0 categorical
#> 33: job_type 0 categorical
#> 34: mode_1 0 integer/categorical
#> 35: mode_2 0 integer/categorical
#> 36: mode_type 0 categorical
#> 37: num_people 0 numeric
#> 38: num_travelers 0 categorical
#> 39: num_trips 0 numeric
#> 40: person_id 0 numeric
#> 41: person_weight 0 integer
#> 42: race_1 1 integer/categorical
#> 43: race_2 1 integer/categorical
#> 44: race_3 1 integer/categorical
#> 45: race_4 1 integer/categorical
#> 46: race_5 1 integer/categorical
#> 47: race_997 1 integer/categorical
#> 48: race_999 1 integer/categorical
#> 49: residence_type 0 categorical
#> 50: sample_segment 0 categorical
#> 51: speed_mph 0 numeric
#> 52: travel_date 0 date
#> 53: trip_id 0 numeric
#> 54: trip_weight 0 integer
#> 55: vehicle_id 0 numeric
#> variable is_checkbox data_type
#> description
#> 1: Age of household member
#> 2: Where participant began their day
#> 3: Destination purpose category
#> 4: Day ID
#> 5: Day weight
#> 6: Type of delivery: Take-out/prepared food delivered to home
#> 7: Type of delivery: Someone came to do work at home (e.g., babysitter, housecleaning, lawn)
#> 8: Type of delivery: Groceries delivered to home
#> 9: Type of delivery: Received packages at home (e.g., USPS, FedEx, UPS)
#> 10: Type of delivery: Received personal packages at work
#> 11: Type of delivery: Received packages at another location (e.g., Amazon Locker, package pick-up point)
#> 12: Type of delivery: Other item delivered to home (e.g., appliance)
#> 13: Type of delivery: None of the above
#> 14: Distance (miles)
#> 15: Highest level of education completed
#> 16: Employment status
#> 17: Where participant emded their day
#> 18: Ethnicity: Not of Hispanic, Latino, or Spanish origin
#> 19: Ethnicity: Mexican, Mexican American, Chicano
#> 20: Ethnicity: Puerto Rican
#> 21: Ethnicity: Cuban
#> 22: Ethnicity: Another Hispanic, Latino, or Spanish origin
#> 23: Ethnicity: Prefer not to answer
#> 24: Vehicle fuel type
#> 25: Gender
#> 26: Household ID
#> 27: Household weight
#> 28: Home location-- County
#> 29: Home location-- Latitude
#> 30: Home location-- Longitude
#> 31: Last year's household income (detailed categories)
#> 32: Last year's household income (broad categories)
#> 33: Work location type
#> 34: Trip mode 1
#> 35: Trip mode 2
#> 36: Mode type
#> 37: Number of household members
#> 38: Number of people in travel party
#> 39: Number of trips
#> 40: Person ID
#> 41: Person weight
#> 42: Race: African American or Black
#> 43: Race: American Indian or Alaska Native
#> 44: Race: Asian
#> 45: Race: Native Hawaiian or other Pacific Islander
#> 46: Race: White
#> 47: Race: Other race
#> 48: Race: Prefer not to answer
#> 49: Type of current residence
#> 50: Sample segment
#> 51: Speed (mph)
#> 52: Travel date
#> 53: Trip ID
#> 54: Trip weight
#> 55: Vehicle ID
#> description
#> shared_name hh person day trip vehicle
#> 1: age 0 1 0 0 0
#> 2: begin_day 0 0 1 0 0
#> 3: d_purpose_category 0 0 0 1 0
#> 4: day_id 0 0 1 1 0
#> 5: day_weight 0 0 1 0 0
#> 6: delivery 0 0 1 0 0
#> 7: delivery 0 0 1 0 0
#> 8: delivery 0 0 1 0 0
#> 9: delivery 0 0 1 0 0
#> 10: delivery 0 0 1 0 0
#> 11: delivery 0 0 1 0 0
#> 12: delivery 0 0 1 0 0
#> 13: delivery 0 0 1 0 0
#> 14: distance_miles 0 0 0 1 0
#> 15: education 0 1 0 0 0
#> 16: employment 0 1 0 0 0
#> 17: end_day 0 0 1 0 0
#> 18: ethnicity 0 1 0 0 0
#> 19: ethnicity 0 1 0 0 0
#> 20: ethnicity 0 1 0 0 0
#> 21: ethnicity 0 1 0 0 0
#> 22: ethnicity 0 1 0 0 0
#> 23: ethnicity 0 1 0 0 0
#> 24: fuel_type 0 0 0 0 1
#> 25: gender 0 1 0 0 0
#> 26: hh_id 1 1 1 1 1
#> 27: hh_weight 1 0 0 0 0
#> 28: home_county 1 0 0 0 0
#> 29: home_lat 1 0 0 0 0
#> 30: home_lon 1 0 0 0 0
#> 31: income_detailed 1 0 0 0 0
#> 32: income_followup 1 0 0 0 0
#> 33: job_type 0 1 0 0 0
#> 34: mode_1 0 0 0 1 0
#> 35: mode_2 0 0 0 1 0
#> 36: mode_type 0 0 0 1 0
#> 37: num_people 1 0 0 0 0
#> 38: num_travelers 0 0 0 1 0
#> 39: num_trips 1 1 1 0 0
#> 40: person_id 0 1 1 1 0
#> 41: person_weight 0 1 0 0 0
#> 42: race 0 1 0 0 0
#> 43: race 0 1 0 0 0
#> 44: race 0 1 0 0 0
#> 45: race 0 1 0 0 0
#> 46: race 0 1 0 0 0
#> 47: race 0 1 0 0 0
#> 48: race 0 1 0 0 0
#> 49: residence_type 1 0 0 0 0
#> 50: sample_segment 1 0 0 0 0
#> 51: speed_mph 0 0 0 1 0
#> 52: travel_date 0 0 1 1 0
#> 53: trip_id 0 0 0 1 0
#> 54: trip_weight 0 0 0 1 0
#> 55: vehicle_id 0 0 0 0 1
#> shared_name hh person day trip vehicle