## Testing the datasets to see if they are as expected
context("Validating package data objects")
library(covdata)
## countries
test_that("countries conforms to spec", {
countries_colnames <- c("cname", "iso3", "iso2", "continent")
expect_equal(colnames(countries), countries_colnames)
})
## covnat_daily
test_that("covnat_daily conforms to spec", {
covnat_daily_colnames <- c("date", "cname", "iso3", "cases", "deaths", "pop", "cu_cases", "cu_deaths")
expect_equal(colnames(covnat_daily), covnat_daily_colnames)
})
## covnat_weekly
test_that("covnat_weekly conforms to spec", {
covnat_weekly_colnames <- c("date", "year_week", "cname", "iso3", "pop", "cases", "deaths", "cu_cases", "cu_deaths", "r14_cases", "r14_deaths")
expect_equal(colnames(covnat_weekly), covnat_weekly_colnames)
})
## covus
test_that("covus conforms to spec", {
covus_colnames <- c("date", "state", "fips", "data_quality_grade", "measure", "count", "measure_label")
expect_equal(colnames(covus), covus_colnames)
covus_measure_names <- c("positive",
"probable_cases",
"negative",
"pending",
"hospitalized_currently",
"hospitalized_cumulative",
"in_icu_currently",
"in_icu_cumulative",
"on_ventilator_currently",
"on_ventilator_cumulative",
"recovered",
"death",
"hospitalized_discharged",
"total_tests_viral",
"positive_tests_viral",
"negative_tests_viral",
"positive_cases_viral",
"death_confirmed",
"death_probable",
"total_test_encounters_viral",
"total_tests_people_viral",
"total_tests_antibody",
"positive_tests_antibody",
"negative_tests_antibody",
"total_tests_people_antibody",
"positive_tests_people_antibody",
"negative_tests_people_antibody",
"total_tests_people_antigen",
"positive_tests_people_antigen",
"total_tests_antigen",
"positive_tests_antigen")
expect_equal(unique(covus$measure), covus_measure_names)
})
test_that("covus_race conforms to spec", {
covus_race_colnames <- c("date", "state", "group", "cases", "deaths", "hosp", "tests")
expect_equal(colnames(covus_race), covus_race_colnames)
})
test_that("covus_ethnicity conforms to spec", {
covus_ethnicity_colnames <- c("date", "state", "group", "cases", "deaths", "hosp", "tests")
expect_equal(colnames(covus_ethnicity), covus_ethnicity_colnames)
})
## nytcovcounty
test_that("nytcovcounty conforms to spec", {
nytcovcounty_colnames <- c("date", "county", "state", "fips", "cases", "deaths")
expect_equal(colnames(nytcovcounty), nytcovcounty_colnames)
})
## nytcovstate
test_that("nytcovstate conforms to spec", {
nytcovstate_colnames <- c("date", "state", "fips", "cases", "deaths")
expect_equal(colnames(nytcovstate), nytcovstate_colnames)
})
## nytcovus
test_that("nytcovus conforms to spec", {
nytcovus_colnames <- c("date", "cases", "deaths")
expect_equal(colnames(nytcovus), nytcovus_colnames)
})
## nytexcess
test_that("nytexcess conforms to spec", {
nytexcess_colnames <- c("country", "placename", "frequency", "start_date", "end_date",
"year", "month", "week", "deaths", "expected_deaths", "excess_deaths", "baseline")
expect_equal(colnames(nytexcess), nytexcess_colnames)
})
# ## cdc_hospitalizations
# test_that("cdc_hospitalizations conforms to spec", {
# cdc_hospitalizations_colnames <- c("catchment", "network", "year", "mmwr_year",
# "mmwr_week", "age_category", "cumulative_rate", "weekly_rate")
# expect_equal(colnames(cdc_hospitalizations), cdc_hospitalizations_colnames)
# })
## cdc_deaths_by_week
test_that("cdc_deaths_by_week conforms to spec", {
cdc_deaths_by_week_colnames <- c("data_as_of", "start_week", "end_week",
"covid_deaths", "total_deaths", "percent_expected_deaths",
"pneumonia_deaths", "pneumonia_and_covid_deaths", "all_influenza_deaths_j09_j11",
"pneumonia_influenza_and_covid_19_deaths")
expect_equal(colnames(cdc_deaths_by_week), cdc_deaths_by_week_colnames)
})
## cdc_deaths_by_age
test_that("cdc_deaths_by_age conforms to spec", {
cdc_deaths_by_age_colnames <- c("data_as_of", "age_group", "start_week", "end_week", "covid_deaths",
"total_deaths", "percent_expected_deaths", "pneumonia_deaths",
"pneumonia_and_covid_deaths", "all_influenza_deaths_j09_j11")
expect_equal(colnames(cdc_deaths_by_age), cdc_deaths_by_age_colnames)
})
## cdc_deaths_by_sex
test_that("cdc_deaths_by_sex conforms to spec", {
cdc_deaths_by_sex_colnames <- c("data_as_of", "sex", "start_week", "end_week", "covid_deaths",
"total_deaths", "percent_expected_deaths", "pneumonia_deaths",
"pneumonia_and_covid_deaths", "all_influenza_deaths_j09_j11")
expect_equal(colnames(cdc_deaths_by_sex), cdc_deaths_by_sex_colnames)
})
## cdc_catchments
test_that("cdc_catchments conforms to spec", {
cdc_catchments_colnames <- c("name", "area")
expect_equal(colnames(cdc_catchments), cdc_catchments_colnames)
})
## nssp_covid_er_nat
test_that("nssp_covid_er_nat conforms to spec", {
nssp_covid_er_nat_colnames <- c("week", "num_fac", "total_ed_visits", "visits",
"pct_visits", "visit_type", "region", "source", "year")
expect_equal(colnames(nssp_covid_er_nat), nssp_covid_er_nat_colnames)
})
## nssp_covid_er_reg
test_that("nssp_covid_er_reg conforms to spec", {
nssp_covid_er_reg_colnames <- c("week", "num_fac", "total_ed_visits", "visits",
"pct_visits", "visit_type", "region", "source", "year")
expect_equal(colnames(nssp_covid_er_reg), nssp_covid_er_reg_colnames)
})
## stmf
test_that("stmf conforms to spec", {
stmf_colnames <- c("country_code", "cname", "iso2", "continent", "iso3", "year",
"week", "sex", "split", "split_sex", "forecast", "approx_date",
"age_group", "death_count", "death_rate", "deaths_total", "rate_total")
expect_equal(colnames(stmf), stmf_colnames)
})
## apple_mobility
test_that("apple_mobility conforms to spec", {
apple_mobility_colnames <- c("country",
"sub_region",
"subregion_and_city",
"geo_type",
"date",
"transportation_type",
"score")
expect_equal(colnames(apple_mobility), apple_mobility_colnames)
})
## google_mobility
# test_that("google_mobility conforms to spec", {
# google_mobility_colnames <- c("country_region_code", "country_region", "sub_region_1",
# "sub_region_2", "metro_area", "iso3166_2", "census_fips_code", "date", "type", "pct_diff")
# expect_equal(colnames(google_mobility), google_mobility_colnames)
# })
## coronanet
# test_that("coronanet conforms to spec", {
# coronanet_colnames <- c("record_id", "policy_id", "entry_type", "correct_type", "update_type", "update_level",
# "description", "date_announced", "date_start", "date_end", "country", "iso3",
# "iso2", "init_country_level", "domestic_policy", "province", "city", "type",
# "type_sub_cat", "type_text", "school_status", "target_country", "target_geog_level", "target_region",
# "target_province", "target_city", "target_other", "target_who_what", "target_direction", "travel_mechanism",
# "compliance", "enforcer", "index_high_est", "index_med_est", "index_low_est", "index_country_rank",
# "link", "date_updated", "recorded_date")
# expect_equal(colnames(coronanet), coronanet_colnames)
# })
## uspop
test_that("uspop conforms to spec", {
uspop_colnames <- c("state", "state_abbr", "statefips", "region_name", "division_name",
"sex_id", "sex", "hisp_id", "hisp_label", "fips", "pop", "white",
"black", "amind", "asian", "nhopi", "tom")
expect_equal(colnames(uspop), uspop_colnames)
})
## nchs_sas
test_that("nchs_sas conforms to spec", {
nchs_sas_colnames <- c("data_as_of", "start_date", "end_date", "group", "year", "month", "state", "sex", "age_group", "covid_19_deaths",
"total_deaths", "pneumonia_deaths", "pneumonia_and_covid_19_deaths", "influenza_deaths",
"pneumonia_influenza_or_covid_19_deaths")
expect_equal(colnames(nchs_sas), nchs_sas_colnames)
})
## nchs_wss
test_that("nchs_wss conforms to spec", {
nchs_wss_colnames <- c("data_as_of", "start_date", "end_date", "year", "month", "obs_unit", "state",
"race_ethnicity", "deaths", "dist_pct", "uw_dist_pop_pct", "wt_dist_pop_pct")
expect_equal(colnames(nchs_wss), nchs_wss_colnames)
nchs_wss_race_ethnicity <- c("Non-Hispanic White", "Non-Hispanic Black or African American",
"Non-Hispanic American Indian or Alaska Native",
"Non-Hispanic Asian", "Non-Hispanic Native Hawaiian or Other Pacific Islander",
"Non Hispanic more than one race", "Hispanic or Latino")
expect_equal(unique(nchs_wss$race_ethnicity), nchs_wss_race_ethnicity)
})
## nchs_pud
# test_that("nchs_pud conforms to spec", {
# nchs_pud_colnames <- c("cdc_report_dt", "pos_spec_dt", "onset_dt", "current_status", "sex",
# "age_group", "race_ethnicity", "hosp_yn", "icu_yn", "death_yn",
# "medcond_yn" )
# expect_equal(colnames(nchs_pud), nchs_pud_colnames)
# })
## nchs_wdc
test_that("nchs_wdc conforms to spec", {
nchs_wdc_colnames <- c("jurisdiction", "year", "week", "week_ending_date", "cause_detailed", "n", "cause")
expect_equal(colnames(nchs_wdc), nchs_wdc_colnames)
nchs_wdc_causes <- c("All Cause" ,
"Alzheimer disease (G30)" ,
"Cerebrovascular diseases (I60-I69)" ,
"Chronic lower respiratory diseases (J40-J47)" ,
"Diabetes mellitus (E10-E14)" ,
"Diseases of heart (I00-I09,I11,I13,I20-I51)" ,
"Influenza and pneumonia (J10-J18)" ,
"Malignant neoplasms (C00-C97)" ,
"Natural Cause" ,
"Nephritis, nephrotic syndrome and nephrosis (N00-N07,N17-N19,N25-N27)" ,
"Other diseases of respiratory system (J00-J06,J30-J39,J67,J70-J98)" ,
"Septicemia (A40-A41)" ,
"Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified (R00-R99)",
"COVID-19 (U071, Multiple Cause of Death)" ,
"COVID-19 (U071, Underlying Cause of Death)" ,
"Influenza and pneumonia (J09-J18)")
expect_equal(unique(nchs_wdc$cause_detailed), nchs_wdc_causes)
})
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