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library(dplyr) | |
library(ggplot2) | |
library(readr) | |
library(survey) | |
ess5 = read_csv("ESS5_FR_SDDF.csv") %>% | |
left_join(read_csv("ESS5FR.csv"), by = c("cntry", "idno")) %>% | |
ess_prepare | |
ess5 = svydesign( | |
ids = ~psu , | |
strata = ~stratify , | |
probs = ~prob , | |
data = ess5 | |
) | |
svymean(~ pbldmn, ess5, na.rm = TRUE) | |
svymean(~ catho, ess5, na.rm = TRUE) | |
m5 = svyglm(pbldmn == "Yes" ~ I(agea^2) + (gndr == "Female") + | |
catho + eduyrs + lrscale + region, | |
family = quasibinomial(link = "logit"), ess5) | |
# m5 = svyglm(pbldmn == "Yes" ~ region, | |
# family = quasibinomial(link = "logit"), ess5) | |
summary(m5) | |
m5 = ess_coefs(m5) | |
m5$wave = "ESS5 (2010)" | |
ess6 = read_csv("ESS6_FR_SDDF.csv") %>% | |
left_join(read_csv("ESS6FR.csv"), by = c("cntry", "idno")) %>% | |
ess_prepare | |
ess6 = svydesign( | |
ids = ~psu, | |
strata = ~stratify, | |
probs = ~prob, | |
data = ess6 | |
) | |
svymean(~ pbldmn, ess6, na.rm = TRUE) | |
svymean(~ catho, ess6, na.rm = TRUE) | |
m6 = svyglm(pbldmn == "Yes" ~ I(agea^2) + (gndr == "Female") + | |
catho + eduyrs + lrscale + region, | |
family = quasibinomial(link = "logit"), ess6) | |
# m6 = svyglm(pbldmn == "Yes" ~ region, | |
# family = quasibinomial(link = "logit"), ess6) | |
summary(m6) | |
m6 = ess_coefs(m6) | |
m6$wave = "ESS6 (2012)" | |
ggplot(rbind(m5, m6) %>% filter(panel != "Contrôles"), | |
aes(y = b, ymin = lo, x = reorder(coef, b), ymax = hi, group = wave, color = wave)) + | |
geom_point(position = position_dodge(.5)) + | |
geom_linerange(position = position_dodge(.5)) + | |
geom_hline(x = 0, lty = "dashed") + | |
scale_color_discrete("") + | |
coord_flip() + | |
labs(y = NULL, x = NULL) + | |
theme_bw(14) + | |
theme(panel.grid = element_blank()) | |
ggsave("coef_regions.png", height = 9, width = 7, dpi = 72) | |
ggplot(rbind(m5, m6) %>% filter(panel == "Contrôles"), | |
aes(y = b, ymin = lo, x = reorder(coef, b), ymax = hi, group = wave, color = wave)) + | |
geom_point(position = position_dodge(.5)) + | |
geom_linerange(position = position_dodge(.5)) + | |
geom_hline(x = 0, lty = "dashed") + | |
scale_color_discrete("") + | |
coord_flip() + | |
labs(y = NULL, x = NULL) + | |
theme_bw(14) + | |
theme(panel.grid = element_blank()) | |
ggsave("coef_controles.png", height = 4, width = 7, dpi = 72) |
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ess_prepare <- function(x) { | |
x$pbldmn[ x$pbldmn %in% c("Don't know", "Refusal") ] = NA | |
x$rlgblg[ x$rlgblg %in% c("Don't know", "Refusal") ] = NA | |
x$eduyrs[ x$eduyrs %in% c("Don't know", "Refusal") ] = NA | |
x$eduyrs = as.numeric(x$eduyrs) | |
x$lrscale[ x$lrscale == "Left" ] = "0" | |
x$lrscale[ x$lrscale == "Right" ] = "10" | |
x$lrscale[ x$lrscale %in% c("Don't know", "Refusal") ] = NA | |
x$lrscale = as.numeric(x$lrscale) | |
x$catho = x$rlgdnm == "Roman Catholic" | |
return(x) | |
} | |
ess_coefs <- function(m) { | |
m = data_frame(x = names(coef(m)), b = coef(m), lo = confint(m)[, 1], hi = confint(m)[, 2]) | |
m$x = c("(Intercept)" = "Intercept", | |
"I(agea^2)" = "Âge (quadratique)", | |
"gndr == \"Female\"TRUE" = "Femme", | |
"cathoTRUE" = "Religion catholique", | |
"eduyrs" = "Années d'éducation", | |
"lrscale" = "Positionnement gauche-droite", | |
"regionFR10" = "Île de France", | |
"regionFR21" = "Champagne-Ardenne", | |
"regionFR22" = "Picardie", | |
"regionFR23" = "Haute-Normandie", | |
"regionFR24" = "Centre", | |
"regionFR25" = "Basse-Normandie", | |
"regionFR26" = "Bourgogne", | |
"regionFR30" = "Nord - Pas-de-Calais", | |
"regionFR41" = "Lorraine", | |
"regionFR42" = "Alsace", | |
"regionFR43" = "Franche-Comté", | |
"regionFR51" = "Pays de la Loire", | |
"regionFR52" = "Bretagne", | |
"regionFR53" = "Poitou-Charentes", | |
"regionFR61" = "Aquitaine", | |
"regionFR62" = "Midi-Pyrénées", | |
"regionFR63" = "Limousin", | |
"regionFR71" = "Rhône-Alpes", | |
"regionFR72" = "Auvergne", | |
"regionFR81" = "Languedoc-Roussillon", | |
"regionFR82" = "Provence-Alpes-Côte d'Azur")[ m$x ] | |
m$panel = "Contrôles" | |
# "classification Todd" | |
m$panel[ m$x %in% c("Alsace", "Lorraine", "Rhône-Alpes", | |
# Pyrénées-Atlantiques | |
"Midi-Pyrénées", "Aquitaine", | |
# Grand Ouest | |
"Bretagne", "Basse-Normandie", "Pays de la Loire", | |
"Poitou-Charentes", "Haute-Normandie", | |
# Massif central méridional | |
"Franche-Comté") ] = "Région périphérique" | |
m$panel[ m$x %in% c("Picardie", "Nord - Pas-de-Calais", "Auvergne", | |
"Provence-Alpes-Côte d'Azur", "Champagne-Ardenne", | |
"Centre", "Île de France", "Limousin", "Bourgogne", | |
"Languedoc-Roussillon") ] = "Région centrale" | |
return(m) | |
} |
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library(readr) | |
library(dplyr) | |
library(survey) | |
library(rgdal) | |
library(maptools) | |
library(ggplot2) | |
library(gridExtra) | |
# map theme | |
theme_mapped = theme_bw(14) + | |
theme(panel.grid = element_blank(), | |
axis.text = element_blank(), | |
axis.ticks = element_blank(), | |
strip.text = element_text(size = rel(1)), | |
strip.background = element_rect(fill = "grey90"), | |
legend.title = element_text(size = rel(1)), | |
legend.text = element_text(size = rel(1)), | |
legend.position = "bottom") | |
ess5 = read_csv("/Users/fr/Documents/Data/ESS/ESS_FR/ESS5FR.csv") %>% | |
full_join(read_csv("/Users/fr/Documents/Data/ESS/ESS_FR/ESS5_FR_SDDF.csv"), by = c("idno", "cntry")) | |
ess5$pbldmn[ ess5$pbldmn == "Don't know" ] = NA | |
ess5$pbldmn = as.integer(ess5$pbldmn == "Yes") | |
ess6 = read_csv("~/Documents/Data/ESS/ESS_FR/ESS6FR.csv") %>% | |
full_join(read_csv("~/Documents/Data/ESS/ESS_FR/ESS6_FR_SDDF.csv"), by = c("idno", "cntry")) | |
ess6$pbldmn[ ess6$pbldmn == "Don't know" ] = NA | |
ess6$pbldmn = as.integer(ess6$pbldmn == "Yes") | |
ess5.design = svydesign(ids = ~psu, strata = ~stratify, probs = ~prob, data = ess5, nest = TRUE) | |
ess6.design = svydesign(ids = ~psu, strata = ~stratify, probs = ~prob, data = ess6, nest = TRUE) | |
ess5 = svyby(~ pbldmn, ~ region, ess5.design, svymean, na.rm = TRUE) | |
ess6 = svyby(~ pbldmn, ~ region, ess6.design, svymean, na.rm = TRUE) | |
# EN: (c) EuroGeographics for the administrative boundaries | |
# http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units | |
eu = readOGR(dsn = "/Users/fr/Documents/Data/Maps/NUTS_2010_03M_SH/NUTS_2010_03M_SH/Data", | |
layer = "NUTS_RG_03M_2010") | |
eu = subset(eu, NUTS_ID %in% unique(c( ess5$region, ess6$region ))) | |
map5 = fortify(eu, region = "NUTS_ID") %>% | |
filter(id %in% unique(ess5$region)) %>% | |
left_join(select(ess5, id = region, pbldmn), by = "id") %>% | |
mutate(pbldmn = 100 * pbldmn, panel = "ESS5 (2010)") | |
map5 = ggplot(map5, aes(map_id = id)) + | |
geom_map(aes(fill = pbldmn), map = map5, color = "white", size = 1) + | |
expand_limits(x = map5$long, y = map5$lat) + | |
scale_fill_gradient2("%", na.value = "grey80", | |
limits = range(100 * ess5$pbldmn), | |
low = "#046C9A", mid = "grey90", | |
midpoint = mean(100 * ess5$pbldmn), | |
high = "#B40F20", | |
guide = guide_colorbar(title.vjust = 0.75, barwidth = 15)) + | |
facet_grid(. ~ panel) + | |
coord_map("gilbert") + | |
theme_mapped + | |
labs(y = NULL, x = NULL) | |
map6 = fortify(eu, region = "NUTS_ID") %>% | |
filter(id %in% unique(ess6$region)) %>% | |
left_join(select(ess6, id = region, pbldmn), by = "id") %>% | |
mutate(pbldmn = 100 * pbldmn, panel = "ESS6 (2012)") | |
map6 = ggplot(map6, aes(map_id = id)) + | |
geom_map(aes(fill = pbldmn), map = map6, color = "white", size = 1) + | |
expand_limits(x = map6$long, y = map6$lat) + | |
scale_fill_gradient2("%", na.value = "grey80", | |
limits = range(100 * ess6$pbldmn), | |
low = "#046C9A", mid = "grey90", | |
midpoint = mean(100 * ess6$pbldmn), | |
high = "#B40F20", | |
guide = guide_colorbar(title.vjust = 0.75, barwidth = 15)) + | |
facet_grid(. ~ panel) + | |
coord_map("gilbert") + | |
theme_mapped + | |
labs(y = NULL, x = NULL) | |
png("ess_pbldmn.png", width = 1000, height = 500, units = "px", res = 72) | |
grid.arrange(map5, map6, ncol = 2) | |
dev.off() |
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