| get_probabilities | R Documentation | 
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
get_probabilities(
  x,
  coalitions = list(c("cdu"), c("cdu", "fdp"), c("cdu", "fdp", "greens"), c("spd"),
    c("spd", "left"), c("spd", "left", "greens")),
  nsim = 1e+05,
  distrib.fun = sls,
  seats_majority = 300L,
  seed = as.numeric(now()),
  correction = NULL
)
x | 
 A table containing one row per survey and survey information in
long format in a separate column named   | 
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   | 
nsim | 
 number of simulations  | 
distrib.fun | 
 Function to calculate seat distribution. Defaults to
  | 
seats_majority | 
 The number of seats needed to obtain majority.  | 
seed | 
 sets seed  | 
correction | 
 A positive number. If not   | 
calculate_prob
library(coalitions)
library(dplyr)
# get the latest survey for a sample of German federal election polls
surveys <- get_latest(surveys_sample)
# calculate probabilities for two coalitions
probs <- get_probabilities(surveys,
                           coalitions = list(c("cdu", "fdp"),
                                             c("spd", "left", "greens")),
                           nsim = 100) # ensure fast runtime with only 100 simulations
probs %>% tidyr::unnest("probabilities")
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