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prevIDXup2lowBuond.R
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prevIDXup2lowBuond.R
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#Install packages
if (!require("pacman")) install.packages("pacman")
pacman::p_load(tidyverse)
#Load Packages
library(tidyverse)
prevIDXBound <- function(dataset, rangeDays){
options(warn=-1)
#NationalIDX----
ItaPrevIDX <- pcmTOTData %>%
ungroup() %>%
select(data
, totale_casi.x
, popolazione) %>%
group_by(data) %>%
summarize_if(is.numeric, sum, na.rm = TRUE) %>%
filter(data<=rangeDays)
ItaPrevIDX$prevIDX <- round((ItaPrevIDX$totale_casi.x/ItaPrevIDX$popolazione)*100000, digits = 1)
#ProvinceBound----
datePrevIDX<-pcmTOTData%>%
filter(data==rangeDays)
lowerPR<-pcmTOTData %>%
filter(data==rangeDays) %>%
filter(prevIndex%in%sort(datePrevIDX$prevIndex, decreasing = F)[1]) %>%
ungroup() %>%
select(denominazione_provincia)
upperPR<-pcmTOTData %>%
filter(data==rangeDays) %>%
filter(prevIndex%in%sort(datePrevIDX$prevIndex, decreasing = T)[1]) %>%
ungroup() %>%
select(denominazione_provincia)
lowerPrevIDX<-pcmTOTData%>%
filter(data<=rangeDays)%>%
filter(denominazione_provincia%in%lowerPR$denominazione_provincia) %>%
ungroup() %>%
select(data
, prevIndex) %>%
group_by(data) %>%
summarize_if(is.numeric, mean, na.rm = TRUE)
lowerPrevIDX$prevIndex <- round(lowerPrevIDX$prevIndex, digits = 1)
upperPrevIDX<-pcmTOTData%>%
filter(data<=rangeDays)%>%
filter(denominazione_provincia%in%upperPR$denominazione_provincia) %>%
ungroup() %>%
select(data
, prevIndex) %>%
group_by(data) %>%
summarize_if(is.numeric, mean, na.rm = TRUE)
upperPrevIDX$prevIndex <- round(upperPrevIDX$prevIndex, digits = 1)
totalPrevIDX <- as.data.frame(matrix(nrow=nrow(ItaPrevIDX)+1, ncol=4))
colnames(totalPrevIDX) <- c("data", "natIDX", "upIDX", "lowIDX")
totalPrevIDX$data <- c(as.Date(ItaPrevIDX$data[1])-1, ItaPrevIDX$data)
totalPrevIDX$natIDX <- c(0, ItaPrevIDX$prevIDX)
totalPrevIDX$upIDX <- round(c(0, upperPrevIDX$prevIndex), digits = 1)
totalPrevIDX$lowIDX <- round(c(0, lowerPrevIDX$prevIndex), digits = 1)
totalPrevIDX <<- totalPrevIDX
upperPR <<- as.character(upperPR[1,])
lowerPR <<- as.character(lowerPR[1,])
}