tar_load(fim)
yoy <- function (x){
j = c()
for (i in 4:length(x)) {
j[i] = (((x[i] / x[i - 4])) - 1) * 100
}
j[1] = 0
j
}
deannualize <- function(x){
( x / 100 + 1) ^ (1 / 4)
}
fim %>%
select(date, fiscal_impact, arp_cont, fiscal_impact_moving_average) %>%
mutate(date = tsibble::yearquarter(date)) %>%
filter(date >= yearquarter('2018 Q4')) %>%
mutate(level = 100,
fiscal_impact = deannualize(fiscal_impact),
fim_cumulative = cumprod(fiscal_impact),
arp_cont = deannualize(arp_cont),
arp_cumulative = cumprod(arp_cont),
index_arp = 100 * arp_cumulative,
growth_arp = if_else(date > yearquarter('2019 Q4'),
yoy(index_arp),
0),
level = level * fim_cumulative,
growth = if_else(date > yearquarter('2019 Q4'),
yoy(level),
0)) %>%
rename(arp_impact = arp_cont,
fim_index = level,
arp_index = index_arp,
arp_yoy_growth = growth_arp,
fim_yoy_growth = growth) %>%
summarise(date, fiscal_impact , fim_index, fim_yoy_growth ,
arp_impact, arp_index, arp_yoy_growth, fiscal_impact_moving_average) %>%
select(date, fiscal_impact_moving_average, fim_yoy_growth) %>%
pivot_longer(-date) %>%
ggplot(aes(x = date, y =value , color = name)) +
geom_line()
library(openxlsx)
wb <- createWorkbook()
options("openxlsx.borderColour" = "#4F80BD")
options("openxlsx.borderStyle" = "thin")
modifyBaseFont(wb, fontSize = 12)
addWorksheet(wb, sheetName = "Year over year growth rates", gridLines = FALSE)
freezePane(wb, sheet = 1, firstRow = TRUE, firstCol = TRUE) ## freeze first row and column
writeDataTable(wb, sheet = 1, x = df,
colNames = TRUE, rowNames = FALSE,
tableStyle = "TableStyleLight9")
setColWidths(wb, sheet = 1, cols = "A", widths = 18)
saveWorkbook(wb, "results/3-2021/annual_contributions.xlsx", overwrite = TRUE) #
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