Use continuous trajectories with election endpoints

This commit is contained in:
Armin
2026-08-14 13:05:00 +00:00
parent a9e6943f1c
commit 3da2ab57ca
4 changed files with 29 additions and 51 deletions
+18 -21
View File
@@ -28,10 +28,10 @@ dir.create(figure_dir, recursive = TRUE, showWarnings = FALSE)
panel <- read.csv(panel_file, check.names = FALSE)
trajectory_spec <- data.frame(
party_id = c(1691, 379, 432),
series = c("Fidesz", "Danish Social Democrats", "US Democrats"),
start_year = c(1990, 2007, 1944),
end_year = c(2022, 2019, 2020)
party_id = c(1691, 432, 1375),
series = c("Fidesz", "US Democrats", "CDU"),
start_year = c(1990, 1988, 2002),
end_year = c(2022, 2020, 2025)
)
trajectory_rows <- lapply(seq_len(nrow(trajectory_spec)), function(i) {
@@ -48,6 +48,8 @@ trajectory_rows <- lapply(seq_len(nrow(trajectory_spec)), function(i) {
d[order(d$year), ]
})
trajectories <- do.call(rbind, trajectory_rows)
trajectory_levels <- trajectory_spec$series
trajectories$series <- factor(trajectories$series, levels = trajectory_levels)
plot_columns <- c(
"party_id", "party_name_english", "country", "year", "series",
@@ -67,25 +69,22 @@ labelled <- plot_data[plot_data$is_labelled, ]
label_positions <- data.frame(
label = c(
"Fidesz 1990", "Fidesz 2022",
"Danish Social Democrats 2007", "Danish Social Democrats 2019",
"US Democrats 1944", "US Democrats 2020"
"US Democrats 1988", "US Democrats 2020",
"CDU 2002", "CDU 2025"
),
plot_label = c(
"Fidesz\n1990", "Fidesz\n2022",
"Danish Social Democrats\n2007", "Danish Social Democrats\n2019",
"US Democrats\n1944", "US Democrats\n2020"
"US Democrats\n1988", "US Democrats\n2020",
"CDU\n2002", "CDU\n2025"
),
label_x = c(.84, .36, .12, .33, .73, .36),
label_y = c(.36, .93, .32, .49, .33, .27)
label_x = c(.84, .36, .48, .35, .53, .72),
label_y = c(.36, .93, .47, .27, .66, .57)
)
labelled <- merge(labelled, label_positions, by = "label", all.x = TRUE, sort = FALSE)
if (anyNA(labelled$label_x) || anyNA(labelled$label_y)) {
stop("Missing manual label position for a displayed scale example")
}
trajectory_levels <- trajectory_spec$series
trajectories$series <- factor(trajectories$series, levels = trajectory_levels)
p <- ggplot() +
geom_path(
data = trajectories,
@@ -93,11 +92,6 @@ p <- ggplot() +
linewidth = .85,
arrow = grid::arrow(type = "closed", length = grid::unit(.065, "inches"))
) +
geom_point(
data = trajectories,
aes(x = economic_lr, y = galtan, colour = series, shape = series),
size = 1.4
) +
geom_errorbar(
data = labelled,
aes(x = economic_lr, ymin = galtan_q025, ymax = galtan_q975, colour = series),
@@ -124,13 +118,16 @@ p <- ggplot() +
size = 2.6, lineheight = .9
) +
scale_linetype_manual(
values = c("Fidesz" = "solid", "Danish Social Democrats" = "dashed", "US Democrats" = "dotdash")
values = c("Fidesz" = "solid", "US Democrats" = "dotdash", "CDU" = "dashed"),
breaks = trajectory_levels
) +
scale_colour_manual(
values = c("Fidesz" = "#D55E00", "Danish Social Democrats" = "#009E73", "US Democrats" = "#0072B2")
values = c("Fidesz" = "#D55E00", "US Democrats" = "#0072B2", "CDU" = "#009E73"),
breaks = trajectory_levels
) +
scale_shape_manual(
values = c("Fidesz" = 16, "Danish Social Democrats" = 17, "US Democrats" = 15)
values = c("Fidesz" = 16, "US Democrats" = 15, "CDU" = 17),
breaks = trajectory_levels
) +
scale_x_continuous(limits = c(0, 1), breaks = c(0, .25, .5, .75, 1)) +
scale_y_continuous(limits = c(0, 1), breaks = c(0, .25, .5, .75, 1)) +