This is a cleaned version of the replication data from Warwick and Druckman (2006).
The data are government level, so that each row of the data set represents one government that formed.
Load Data
# load packages
library(tidyverse)
# load data
gamson_df <- read_rds("gamson.rds") %>%
glimpse()
## Observations: 826
## Variables: 2
## $ seat_share <dbl> 0.02424242, 0.46060607, 0.51515150, 0.47204968...
## $ portfolio_share <dbl> 0.09090909, 0.36363637, 0.54545456, 0.45454547...
Variable Descriptions
seat_share
- Coding: The share (fraction) of the seats a party holds in the legislature of those seats held by the government parties.
- Type: double
# histogram
ggplot(gamson_df, aes(x = seat_share)) +
geom_histogram()
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
porfolio_share
- Coding: The share (fraction) of government portfolios held by the party.
- Type: double
# histogram
ggplot(gamson_df, aes(x = seat_share)) +
geom_histogram()
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.