File: election.R

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r-cran-plotrix 3.8-1-1
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seats<-function (N, M, r0 = 2.5) {
 radii <- seq(r0, 1, len = M)
 counts <- numeric(M)
 pts <- do.call(rbind, lapply(1:M,
  function(i) {
   counts[i] <<- round(N * radii[i]/sum(radii[i:M]))
   theta <- seq(0, pi, len = counts[i])
   N <<- N - counts[i]
   data.frame(x = radii[i] * cos(theta), y = radii[i] * 
   sin(theta), r = i, theta = theta)
  }
 )
 )
 pts <- pts[order(-pts$theta, -pts$r), ]
 pts
}

election<-function (seats, result, formula,
 colours = sample(rainbow(length(counts)))) {
 
 result <- model.frame(formula, result)
 counts <- result[, 2]
 stopifnot(sum(counts) == nrow(seats))
 seats$party <- factor(rep(result[, 1], counts))
 seats$colour <- colours[as.numeric(seats$party)]
 seats
}