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library("tidyverse") | |
arima_qs <- readr::read_csv("/path/to/forecast_rct_a_subset.csv", | |
col_types = cols(user_id = col_integer())) %>% | |
mutate(Forecaster = factor(Forecaster)) | |
# Add # of questions to each Data source label | |
arima_qs <- arima_qs %>% | |
group_by(Data_source) %>% | |
mutate(by_Data_source_n_ifps = length(unique(ifp_id))) %>% |
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library(cshapes) | |
library(sf) | |
states <- cshp(as.Date("2016-01-01"), useGW = TRUE) | |
states <- st_as_sf(states) | |
yemen <- states[states$CNTRY_NAME=="Yemen", ] | |
plot(yemen[, 1]) |
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plot(c(1, 2), c(1, 1), col = c("blue", "red"), pch= 19, cex=4) | |
lines(c(1, 2), c(1, 1), col = c("blue", "red"), lwd=3) |
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library("splm") | |
data("usaww") | |
?usaww | |
# Only Alabama has this policy | |
policy_x <- c(1, rep(0, 47)) | |
names(policy_x) <- rownames(usaww) | |
head(policy_x) |
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# | |
# copy and run this code in R to setup and source `wikipedia-terrorism.R` from this gist | |
# | |
packs <- c("dplyr", "rvest", "httr", "XML", "stringr", "purrr", "xml2", "tibble", "devtools") | |
need <- packs[!packs %in% rownames(installed.packages())] | |
install.packages(need) | |
devtools::source_gist("https://gist.github.com/andybega/0f16b6a0de0185c157e2a280b5e05074", | |
filename = "wikipedia-terrorism.R") |
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# Example of how to add missing countries/territories to cshapes using another source for | |
# the map data/polygon | |
# | |
library(cshapes) | |
library(rgdal) # need this for projection transform (spTransform) | |
# this returns all polygons, with start and end dates for indepdence | |
# we'll have to manually subset for dates below | |
all <- cshp() |
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