#' @title Distribution by status of affected individuals of COVID19 in the Dominican Republic
#' @aliases g_status
#' @description This function graphs the distribution according to the status of affected individuals. This can be;
#' 1) Home isolation,
#' 2) Hospital isolation,
#' 3) Recovered and
#' 4) Deaths.
#' @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}.
#' @importFrom scales comma
#' @usage g_status(saveplot = FALSE, savepng = FALSE)
#' @return Graph of the distribution according to the status of affected individuals and saves a
#' copy in png format to the computer at the address defined in \code{setwd()}.
#' @export
#' @examples
#' g_status()
#' @name g_status
g_status <- function(saveplot = FALSE,
savepng = FALSE){
if (exists('data_province') == FALSE) {
stop("data objects are missing, run load_data_covid_dr()")
}
df_type <- data_type
rep_actual <- data_cum$Reports %>% max(na.rm = TRUE)
lab_type <-
labs(title = "DR: Distribution by status of affected individuals of COVID19",
subtitle = paste("Total =", comma(sum(df_type$N))),
caption = paste0("Source: @fidelmorla with information from special bulletin #",
rep_actual,
" of @SaludPublicaRD"),
x = "",
y = ""
)
max_type <- 100
col_type <- c('#038024', #verde
'#035d91', #azul
'#c47e04', #naranja,
'#ad0219') #rojo
names(col_type) <- c('Recovered', #verde
'Home', #azul
'Hospital', #naranja,
'Deaths') #rojo
suppressWarnings(
g_type <-
df_type %>%
ggplot(aes(x = reorder(Type, N_p),
y = N_p,
fill = reorder(Type, -N_p),
col = reorder(Type, -N_p))) +
geom_col() +
scale_y_continuous(breaks = c(seq(0,max_type, max_type / 4)),
limits = c(0,max_type),
labels = comma) +
geom_text(check_overlap = TRUE,
size = 4.5,
hjust = -0.25,
show.legend = FALSE,
aes(label = paste0(round(N_p,1), " (", comma(N), ")"))) +
coord_flip() +
scale_fill_manual(values = col_type) +
scale_color_manual(values = col_type) +
lab_type +
drcovidplots::list_themes['t6'] +
theme(axis.text.x = element_text(angle = 0),
axis.text.y = element_text(color = rev(col_type)))
)
print(g_type) %>% suppressWarnings()
if (saveplot == TRUE) {assign("g_type", g_type, envir = .GlobalEnv)}
if (savepng == TRUE){
ggsave(filename = "status.png",
plot = g_type,
device = "png",
width = 18.333333333333332 / 1.5,
height = 10.466666666666667 / 1.5,
units = "in")
}
}
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