I am currently looking at rugby scores and I have predicted 'T', 'C', 'P' and 'D' by using the predict function for a weekend of results.
score <-5*T + 2*C + 3*P+ 3*Dr score So the output from the score function above is 12 values, as follows. Where 1 to 12 represent the teams involved in the games. 1 2 3 4 5 6 7 8 23.58252 15.31481 22.12425 15.33689 19.50824 16.22893 25.80283 17.65662 9 10 11 12 12.35336 18.78278 18.98916 16.03140 However I know what to simulate these matches 100 times and take an average of these scores and find the percentage of home wins, away wins and draws in these 100 games that were simulated. I started like below, but didn't know what to next? Score.Team1 <- rpois(1, score[1]) Score.Team2 <- rpois(1, score[2]) Any help would greatly be appreciated. Thanks -- View this message in context: http://r.789695.n4.nabble.com/simulating-scores-tp4431680p4431680.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.