tests/testthat/test-dictionary.R

In rscorecard: A Method to Download Department of Education College Scorecard Data

context('sc_dict')

test_that('Dictionary does not return correct object', {

    ## stabbr (short)
    df1 <- tidyr::tibble(varname = 'stabbr',
                         value = NA_real_,
                         label = NA_character_,
                         description = 'State postcode',
                         source = 'IPEDS',
                         dev_friendly_name = 'state',
                         dev_category = 'school',
                         notes = NA_character_,
                         can_filter = 1)

    df2 <- sc_dict('stabbr', return_df = TRUE, print_off = TRUE)

    expect_identical(df1, df2)

    ## st_fips (long)
    st_value <- c(1, 2, 4, 5, 6, 8, 9, 10, 11, 12, 13, 15, 16, 17, 18,
                  19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32,
                  33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47,
                  48, 49, 50, 51, 53, 54, 55, 56, 60, 64, 66, 69, 70, 72,
                  78)
    st_label <- c("Alabama", "Alaska", "Arizona", "Arkansas",
                  "California", "Colorado", "Connecticut", "Delaware",
                  "District of Columbia", "Florida", "Georgia", "Hawaii",
                  "Idaho", "Illinois", "Indiana", "Iowa", "Kansas",
                  "Kentucky", "Louisiana", "Maine", "Maryland",
                  "Massachusetts", "Michigan", "Minnesota",
                  "Mississippi", "Missouri", "Montana", "Nebraska",
                  "Nevada", "New Hampshire", "New Jersey", "New Mexico",
                  "New York", "North Carolina", "North Dakota", "Ohio",
                  "Oklahoma", "Oregon", "Pennsylvania", "Rhode Island",
                  "South Carolina", "South Dakota", "Tennessee", "Texas",
                  "Utah", "Vermont", "Virginia", "Washington",
                  "West Virginia", "Wisconsin", "Wyoming",
                  "American Samoa", "Federated States of Micronesia",
                  "Guam", "Northern Mariana Islands", "Palau",
                  "Puerto Rico", "Virgin Islands")
    df1 <- tidyr::tibble(varname = 'st_fips',
                         value = st_value,
                         label = st_label,
                         description = 'FIPS code for state',
                         source = 'IPEDS',
                         dev_friendly_name = 'state_fips',
                         dev_category = 'school',
                         notes = NA_character_,
                         can_filter = 1)

    df2 <- sc_dict('st_fips', return_df = TRUE, print_off = TRUE)

    expect_identical(df1, df2)
})