require(haven)
require(tidyverse)
## load data
dat <- read_dta("Paglayan Dataset.dta")
dat %>%
select(CBeverrequired, CBrequired_SY, year, State) %>%
pivot_wider(names_from = "year",
values_from = "CBrequired_SY",
names_prefix = "year")
## full data
full_hist <- ggplot(dat, aes(x = year, y = State, fill = CBrequired_SY)) +
geom_tile()
after60_hist <- dat %>%
filter(year >= 1959) %>%
ggplot(aes(x = year, y = State, fill = CBrequired_SY)) +
geom_tile() +
ggtitle("1959 - 2000")
ggsave(after60_hist, file = '~/Desktop/hist_map.pdf')
paglayan2019 <- dat %>%
filter(year >= 1959) %>%
select(year, State, CBrequired_SY, ppexpend, avgteachsal) %>%
rename(state = State, treatment = CBrequired_SY,
pupil_expenditure = ppexpend, teacher_salary = avgteachsal)
usethis::use_data(paglayan2019)
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