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library(ggplot2) | |
library(reshape2) | |
# Load data, and rerank teams by points | |
data = read.table("SL_points.txt", sep="\t", header=T) | |
data$old_rank = rank(-data$Old, ties.method="first") | |
data$bonus_rank = rank(-data$Bonus, ties.method="first") | |
data$penalty_rank = rank(-data$Penalty, ties.method="first") | |
# New dataframe of ranked teams under each scheme | |
tables = data.frame(old = data$Team[order(data$Old, decreasing=T)], | |
bonus = data$Team[order(data$Bonus, decreasing=T)], | |
penalty = data$Team[order(data$Penalty, decreasing=T)]) | |
# Melt data for plotting | |
mdata = melt(data, id='Team', measure.vars=c('Old', 'Bonus', 'Penalty')) | |
# Plot data | |
p = ggplot(mdata, aes(x=variable, y=value, group=Team, color=Team)) | |
p + geom_line(size=1) + labs(title="SL 2013 Points", x="Points Scheme", | |
y="Points") |
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Team W D L L close Old Bonus Penalty | |
Huddersfield 21 0 6 2 42 65 38 | |
Warrington 20 1 6 4 41 66 39 | |
Leeds 18 1 8 6 37 62 35 | |
Wigan 17 1 9 5 35 58 31 | |
St Helens 15 1 11 8 31 55 28 | |
Hull FC 13 2 12 5 28 48 21 | |
Catalan 13 2 12 6 28 49 22 | |
Hull KR 13 0 14 5 26 44 17 | |
Bradford 10 2 15 5 22 39 12 | |
Widnes 10 2 15 8 22 42 15 | |
Wakefield 10 1 16 8 21 40 13 | |
Castleford 9 2 16 4 20 35 8 | |
London 5 2 20 3 12 22 -5 | |
Salford 6 1 20 5 13 25 -2 |
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Data and R file in support of a blog post about Super League table points schemes.