#' create cumulative_events instance for state data from NYT
#' @param src a tibble
#' @param eventtype character(1) 'confirmed' or 'deaths'
#' @param statename character(1) state name
#' @examples
#' nyt = nytimes_state_data()
#' mass = cumulative_events_nyt_state(nyt, eventtype = "confirmed",
#' statename = "Massachusetts")
#' mass
#' imass = form_incident_events(trim_from(mass, "2020-03-01"))
#' plot(imass)
#' @export
cumulative_events_nyt_state = function (src, eventtype = "confirmed",
statename = "Massachusetts") {
stopifnot(statename %in% src$state)
cur = src %>% dplyr::filter(subset == eventtype & state == statename)
cumul = cur$count
dates = cur$date
ans = list(count = cumul, dates = dates)
attr(ans, "ProvinceState") = statename
attr(ans, "source") = "NYT"
attr(ans, "dtype") = "cumulative"
class(ans) = c("cumulative_events", "covid_events")
ans
}
#' create cumulative_events instance for county in state data from NYT
#' @param src a tibble
#' @param eventtype character(1) 'confirmed' or 'deaths'
#' @param statename character(1) state name
#' @param countyname character(1) county name
#' @examples
#' nytc = nytimes_county_data()
#' norf = cumulative_events_nyt_county(nytc, eventtype = "confirmed",
#' statename = "Massachusetts", countyname="Norfolk")
#' norf
#' inorf = form_incident_events(trim_from(norf, "2020-03-01"))
#' plot(inorf)
#' @export
cumulative_events_nyt_county = function (src, eventtype = "confirmed", statename = "Massachusetts",
countyname = "Norfolk")
{
stopifnot(countyname %in% src$county)
stopifnot(statename %in% src$state)
cur = src %>% dplyr::filter(subset == eventtype & state ==
statename & county == countyname)
cumul = cur$count
dates = cur$date
ans = list(count = cumul, dates = dates)
attr(ans, "ProvinceState") = statename
attr(ans, "county") = countyname
attr(ans, "source") = "NYT"
attr(ans, "dtype") = "cumulative"
class(ans) = c("cumulative_events", "covid_events")
ans
}
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