## ----echo = FALSE, message = FALSE-------------------------------------------- knitr::opts_chunk$set(collapse = TRUE, comment = "#>") options(tibble.print_min = 4L, tibble.print_max = 4L, max.print = 4L) library(epidatr) library(dplyr) ## ----echo = FALSE------------------------------------------------------------- suppressMessages(invisible(capture.output(endpts <- avail_endpoints()))) filter(endpts, endsWith(Endpoint, "_meta()")) %>% knitr::kable() ## ----eval = FALSE------------------------------------------------------------- # avail_endpoints() ## ----echo = FALSE------------------------------------------------------------- suppressMessages(invisible(capture.output(endpts <- avail_endpoints()))) knitr::kable(endpts) ## ----------------------------------------------------------------------------- covid_sources <- covidcast_epidata() head(covid_sources$sources, n = 2) ## ----------------------------------------------------------------------------- covid_sources$signals ## ----------------------------------------------------------------------------- covid_sources$signals$`fb-survey:smoothed_cli` ## ----------------------------------------------------------------------------- epidata <- covid_sources$signals$`fb-survey:smoothed_cli`$call( "state", "pa", epirange(20210405, 20210410) ) knitr::kable(epidata) ## ----------------------------------------------------------------------------- pub_covidcast( source = "fb-survey", signals = "smoothed_accept_covid_vaccine", geo_type = "county", time_type = "day", time_values = epirange(20201221, 20201225), geo_values = "06059" ) ## ----------------------------------------------------------------------------- pub_covidcast( source = "fb-survey", signals = "smoothed_accept_covid_vaccine", geo_type = "county", time_type = "day", time_values = epirange(20201221, 20201225), geo_values = "*" ) ## ----eval = FALSE------------------------------------------------------------- # pub_covid_hosp_facility_lookup(city = "southlake") # pub_covid_hosp_facility_lookup(state = "WY") # # A non-example (there is no city called New York in Wyoming) # pub_covid_hosp_facility_lookup(state = "WY", city = "New York") ## ----eval = FALSE------------------------------------------------------------- # pub_covid_hosp_facility( # hospital_pks = "100075", # collection_weeks = epirange(20200101, 20200501) # ) ## ----eval = FALSE------------------------------------------------------------- # pub_covid_hosp_state_timeseries(states = "MA", dates = "20200510") ## ----eval = FALSE------------------------------------------------------------- # del <- pub_delphi(system = "ec", epiweek = 201501) # names(del[[1L]]$forecast) ## ----eval = FALSE------------------------------------------------------------- # pub_flusurv(locations = "ca", epiweeks = 202001) ## ----eval = FALSE------------------------------------------------------------- # pub_fluview(regions = "nat", epiweeks = epirange(201201, 202001)) ## ----eval = FALSE------------------------------------------------------------- # pub_fluview_clinical(regions = "nat", epiweeks = epirange(201601, 201701)) ## ----eval = FALSE------------------------------------------------------------- # pub_fluview_meta() ## ----eval = FALSE------------------------------------------------------------- # pub_gft(locations = "hhs1", epiweeks = epirange(201201, 202001)) ## ----eval = FALSE------------------------------------------------------------- # pub_ecdc_ili(regions = "Armenia", epiweeks = 201840) ## ----eval = FALSE------------------------------------------------------------- # pub_kcdc_ili(regions = "ROK", epiweeks = 200436) ## ----eval = FALSE------------------------------------------------------------- # pub_nidss_flu(regions = "taipei", epiweeks = epirange(200901, 201301)) ## ----eval = FALSE------------------------------------------------------------- # pub_nowcast(locations = "ca", epiweeks = epirange(202201, 202319)) ## ----eval = FALSE------------------------------------------------------------- # pub_dengue_nowcast(locations = "pr", epiweeks = epirange(201401, 202301)) ## ----eval = FALSE------------------------------------------------------------- # pub_nidss_dengue(locations = "taipei", epiweeks = epirange(200301, 201301)) ## ----eval=FALSE--------------------------------------------------------------- # pub_paho_dengue(regions = "ca", epiweeks = epirange(200201, 202319)) ## ----eval = FALSE------------------------------------------------------------- # pub_wiki( # language = "en", # articles = "influenza", # time_type = "week", # time_values = epirange(202001, 202319) # ) ## ----eval=FALSE--------------------------------------------------------------- # pvt_cdc(auth = Sys.getenv("SECRET_API_AUTH_CDC"), epiweeks = epirange(202003, 202304), locations = "ma") ## ----eval=FALSE--------------------------------------------------------------- # pvt_dengue_sensors( # auth = Sys.getenv("SECRET_API_AUTH_SENSORS"), # names = "ght", # locations = "ag", # epiweeks = epirange(201404, 202004) # ) ## ----eval=FALSE--------------------------------------------------------------- # pvt_ght( # auth = Sys.getenv("SECRET_API_AUTH_GHT"), # epiweeks = epirange(199301, 202304), # locations = "ma", # query = "how to get over the flu" # ) ## ----eval=FALSE--------------------------------------------------------------- # pvt_meta_norostat(auth = Sys.getenv("SECRET_API_AUTH_NOROSTAT")) ## ----eval=FALSE--------------------------------------------------------------- # pvt_norostat(auth = Sys.getenv("SECRET_API_AUTH_NOROSTAT"), locations = "1", epiweeks = 201233) ## ----eval=FALSE--------------------------------------------------------------- # pvt_quidel(auth = Sys.getenv("SECRET_API_AUTH_QUIDEL"), locations = "hhs1", epiweeks = epirange(200301, 202105)) ## ----eval=FALSE--------------------------------------------------------------- # pvt_sensors( # auth = Sys.getenv("SECRET_API_AUTH_SENSORS"), # names = "sar3", # locations = "nat", # epiweeks = epirange(200301, 202105) # ) ## ----eval=FALSE--------------------------------------------------------------- # pvt_twitter( # auth = Sys.getenv("SECRET_API_AUTH_TWITTER"), # locations = "nat", # time_type = "week", # time_values = epirange(200301, 202105) # )