library(tidyverse)
tenyear <- read_csv("/home/steve/Dropbox/data/china-peace/Dataset_4_ODAconflict10y.csv")
tenyear %>%
# select(Country:region, ODAamount, OtherODA,
# logOtherODADiff1y, LogOtherODADiff, LogOtherODA) %>%
# head(10) %>%
# mutate(ln_other = log(OtherODA),
# d_ln_other = ln_other - lag(ln_other, 1),
# lead_d_ln_other = lag(d_ln_other)) %>%
# data.frame
# stevemisc::log_at(c("OtherODA"))
# mutate(diff = log(OtherODA) - lead(log(OtherODA), 1)) %>% data.frame
# mutate(diff = log(ODAamount) - log(OtherODA)) %>%
# mutate(l1_diff = diff - lag(diff, 1))
select(Country:region, ODAamount, ODAproject,
GDPpercapita, NaturalTotal,
UNGAall, FDIstock, Battledeathper0.1mil,
OtherODA, logOtherODADiff1y) %>%
rename_all(tolower) %>%
rename(iso3c = 3,
chn_oda = 5,
n_chnproj = 6,
gdppc = 7,
tnrr = 8,
chn_unvs = 9,
fdi_stock = 10,
bdp100k = 11,
other_oda = 12) %>%
select(country:n_chnproj, other_oda, everything()) -> china_peace
save(china_peace, file = "data/china_peace.rda")
# china_peace %>%
# select(country, year, chn_oda, other_oda, ncol(.)) %>%
# mutate(ln_otheroda = log(other_oda),
# d_ln_otheroda = lag(ln_otheroda, 1) - lag(ln_otheroda, 2),
# .by = country)
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