In skranz/StratTourn: Tournament of game theoretic strategies

library(StratTourn)
library(xtable)
library(ggplot2)
library(reshape2)
library(googleVis)

library(StratTourn)
library(xtable)
library(Shiny)
setwd("D:/libraries/StratTourn")

setwd("D:/libraries/StratTourn/studies")


tourn = load.tournament("Tourn_Noisy_PD_20141110_054429.tou")
# Data for each match
md = tourn$dt
md = add.other.var(md,c("strat","u"))
md$delta.u = md$u - md$other.u
# Names of all strategies
strats = unique(md$strat)


rank.dt = strat.rank.from.matches(md)

# Data for each round
file = tourn$rs.file
rd = fread(file)
rd = as.tbl(as.data.frame(rd))
rd = add.other.var(rd,c("strat","u"))

# Names of all strategies
strats = unique(rd$strat)

# Perhaps select a subset of strategies
used.strats = strats
ard = rd

if (!identical(used.strats,strats)) {
  rows = rd$strat %in% used.strats & rd$other.strat %in% used.strats
  rd = ard[rows,]
}

library(tidyr)
td = summarise(group_by(rd,strat,other.strat,t), r=mean(a=="r"), s=mean(a=="s"), p=mean(a=="p"))
tsd = group_by(td, strat, other.strat)
tsd <- mutate(tsd, cum.r = cumsum(r)/t, cum.s = cumsum(s)/t, cum.p = cumsum(p)/t)
tsd <- tsd %>% gather(type, perc, cum.r:cum.p)

# Order strategies according to their rank
rank.strats = rank.dt$strat
tsd$strat = factor(tsd$strat, rank.strats, ordered=TRUE)
tsd$other.strat = factor(tsd$other.strat, rank.strats, ordered=TRUE)

qplot(data=tsd, x=t, y=perc, color=type, group=type, geom="line") + facet_grid(other.strat~strat)
#qplot(data=tsd, x=t, y=cum.r, color=strat, group=strat, geom="line") + facet_grid(other.strat~strat)

cat("\n")

The plot shows the cumulative distribution of rock, scissors and paper for each strategy pair.

skranz/StratTourn documentation built on May 30, 2019, 2:02 a.m.