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| # You won't need all of these packages. I just copied it from another,related analysis: | |
| # https://github.com/svmiller/etjc | |
| library(car) | |
| library(arm) | |
| library(countrycode) | |
| library(data.table) | |
| library(tidyverse) | |
| library(sqldf) | |
| # library(pdftools) |
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| library(MASS) | |
| library(rio) | |
| library(tidyverse) | |
| multhet <- function(y, ## = formula(1~1), | |
| v, ## = formula(~1), | |
| data) { | |
| ## check length of inputs | |
| if (class(y) != "formula") { |
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| ################################################################################ | |
| # | |
| # ikashnitsky.github.io 2017-07-18 | |
| # Accessing Eurostat data using the `eurostat` R package | |
| # Young people neither in employment nor in education and training in Europe | |
| # Ilya Kashnitsky, [email protected] | |
| # | |
| ################################################################################ | |
| # Erase all objects in memory |
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| ################################################################################ | |
| # | |
| # ikashnitsky.github.io 2017-06-30 | |
| # Produce an RGB coded map of pop structures at NUTS-3 level | |
| # Ilya Kashnitsky, [email protected] | |
| # | |
| ################################################################################ | |
| # Erase all objects in memory | |
| rm(list = ls(all = TRUE)) |
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| library(tidyverse) | |
| ### Make sure to download files from www.parlgov.org! | |
| elec <- read.csv("view_election.csv") | |
| cab <- read.csv("view_cabinet.csv") | |
| party <- read.csv("view_party.csv") | |
| ### Date | |
| cab$start_date <- as.Date(cab$start_date) |
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| library(httr) | |
| adresse <- "8 bd du port" | |
| resultraw <- httr::GET(utils::URLencode(paste0('https://api-adresse.data.gouv.fr/search/?q=', adresse))) | |
| result <-jsonlite::fromJSON(httr::content(resultraw, "text")) | |
| result$features |
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| library(foreign) ## for data import | |
| library(dplyr) ## for chaining ops together | |
| library(ggplot2) ## for plotting | |
| library(reshape2) ## for reshaping | |
| library(hrbrthemes) ## for pretty pictures | |
| library(survey) ## for... uh, survey data | |
| party.colours <- c("#0087DC","#D50000","#FDBB30","#FFFF00","#008142","#99CC33","#70147A","#DDDDDD") | |
| bes <- read.spss("~/Dropbox/2017-forecasting/data/individual/BES2015_W10_Panel_v0.3.sav") |
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| library(sp) | |
| library(raster) | |
| library(rgeos) | |
| ## import des données | |
| download.file(url = "http://biogeo.ucdavis.edu/data/gadm2.8/rds/GBR_adm2.rds", | |
| destfile = file.path(tempdir(), "GBR_adm2.rds")) | |
| download.file(url = "http://biogeo.ucdavis.edu/data/gadm2.8/rds/IRL_adm0.rds", | |
| file.path(tempdir(),"IRL_adm0.rds")) |
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| library(boot) | |
| r2 = function(f, d, i) { | |
| d = d[i, ] | |
| f = lm(f, data = d) | |
| return(summary(f)$r.square) | |
| } | |
| br <- boot(COI, r2, 10000, formula = nb.publis ~ nb.liens) | |
| br | |
| plot(br) | |
| boot.ci(br, .95, "bca") |
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| ## Please note, this script is entirely derivative of work done | |
| ## by Simon Jackman for his article `Pooling the Polls...' | |
| ## Aust. J. Pol. Science, 40(4): 499-517 | |
| ## Libraries | |
| library(reshape) | |
| library(rjags) | |
| library(R2WinBUGS) | |
| library(ggplot2) | |
| library(scales) |