Calculate coalition probabilities for multiple coalitions

Given a table with simulations in the rows and coalitions in the columns, this function returns the coalition probabilities for a specified coalition, by default excluding superior coalitions first

calculate_probs(majority_df, coalitions, exclude_superior = TRUE, ...)

Arguments

majority_df	A data frame containing logical values indicating if the coalitions (columns) have a majority (rows).
coalitions	A list of coalitions for which coalition probabilities should be calculated. Each list entry must be a vector of party names. Those names need to correspond to the names in majority_df.
exclude_superior	Logical. If TRUE, superior coalitions will be excluded, otherwise total coalition probabilities will be returned. Usually it makes sense to exclude superior coalitions.
...	Further arguments passed to get_superior

See also

calculate_prob

Examples

test_df <- data.frame(
 cdu            = c(rep(FALSE, 9), TRUE),
 cdu_fdp        = c(rep(FALSE, 8), TRUE, TRUE),
 cdu_fdp_greens = c(TRUE, TRUE, rep(FALSE, 6), TRUE, TRUE))
calculate_probs(test_df, list("cdu", "cdu_fdp", "cdu_fdp_greens"))
#>        coalition probability
#> 1            cdu          10
#> 2        cdu_fdp          10
#> 3 cdu_fdp_greens          20
calculate_probs(test_df, list("cdu", "cdu_fdp", "cdu_fdp_greens"), exclude_superior=FALSE)
#>        coalition probability
#> 1            cdu          10
#> 2        cdu_fdp          20
#> 3 cdu_fdp_greens          40