#' @title Daily negative and positive cases of COVID19.
#' @aliases g_np_daily
#' @description This function graphs the daily total number negative and positive COVID19 cases
#' in the Dominican Republic.
#' @usage g_np_daily(saveplot = FALSE, savepng = FALSE)
#' @param saveplot Logical. Should save the ggplot objet to the \code{.GlobalEnv}? Default \code{FALSE}.
#' @param savepng Logical. Should save a png version of the plot? Default \code{FALSE}.
#' @return Graph of the daily total number of negative and positives cases and saves a
#' copy in png format to the computer at the address defined in \code{setwd()}.
#' @export
#' @examples
#' g_np_daily()
#' g_np_daily(saveplot = FALSE, savepng = TRUE)
#' @name g_np_daily
g_np_daily <- function(saveplot = FALSE,
savepng = FALSE){
if (exists('data_province') == FALSE) {
stop("data objects are missing, run load_data_covid_dr()")
}
df_np_daily <-
data_cum %>%
mutate(ND = Negative - dplyr::lag(Negative)) %>%
select(date, New_positive, ND) %>%
rename(Negative = ND,
Positive = New_positive) %>%
drop_na() %>%
gather(key = "Cases", value = "N", -date)
mean_pos <-
df_np_daily %>%
summarise(mean_pos = mean(N[Cases == 'Positive'],
na.rm = TRUE)) %>%
as.integer()
mean_neg <-
df_np_daily %>%
summarise(mean_pos = mean(N[Cases == 'Negative'],
na.rm = TRUE)) %>%
as.integer()
max_daily_total_tests <-
df_np_daily %>%
summarise(
max = sum(max(N[Cases == 'Negative'],
na.rm = TRUE),
max(N[Cases == 'Positive'],
na.rm = TRUE))) %>%
round(digits = -2) %>%
sum(100) %>%
as.integer()
lab_np_daily <-
labs(title = "RD: Positive and negative cases COVID-19",
subtitle = paste0("Daily average of negative test = ",
comma(mean_neg),
" / Daily average of positive test = ",
comma(mean_pos),
" "),
caption = "Source: @fidelmorla with special bulletins of @SaludPublicaRD",
x = "",
y = ""
)
g_np_daily <-
df_np_daily %>%
ggplot(aes(x = date,
y = N,
color = Cases,
fill = Cases,
label = comma(N))) +
geom_bar(position = "stack",
stat="identity",
width = 1,
color = NA) +
scale_fill_manual(values = c("#d1d1d1", '#850000')) +
scale_color_manual(values = c("#850000", 'white')) +
geom_text(data = df_np_daily %>% filter(date == max(date)),
angle = 90,
check_overlap = TRUE,
size = 3,
show.legend = FALSE,
position = position_stack(vjust = 0.5)) +
scale_x_date(date_labels = "%d %b",
date_breaks = "2 days") +
scale_y_continuous(breaks = c(seq(0,
max_daily_total_tests,
max_daily_total_tests / 4)),
limits = c(0,
max_daily_total_tests)) +
lab_np_daily +
drcovidplots::list_themes['t_legend']
print(g_np_daily) %>% suppressWarnings()
if (saveplot == TRUE) {assign('g_np_daily', g_np_daily, envir = .GlobalEnv)}
if (savepng == TRUE){
ggsave(filename = "dailynp.png",
plot = g_np_daily,
device = "png",
width = 18.333333333333332 / 1.5,
height = 10.466666666666667 / 1.5,
units = "in")
}
}
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