library(StratTourn) library(xtable) library(ggplot2) library(reshape2) library(googleVis) setwd("D:/libraries/StratTourn") tourn = load.tournament("Tourn_Noisy_PD_20140721_202445.Rdata") # 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$strat) # Data for each round file = "D:/libraries/StratTourn/Tourn_Noisy_PD_20140721_202445_rs.csv" rd = fread(file) rd = as.tbl(as.data.frame(rd)) rd = add.other.var(rd,c("strat","u")) rd = mutate(group_by(rd,match.id,i), choose.C = (a == "C")*1, choose.D = (a == "D")*1, other.D.prev = (obs.j == "D")*1, other.D.prev2 = is.true(obs.j == "D" & lag(obs.j) == "D")*1, other.d.dist75 = 0.75^distance.to.previous.event(other.D.prev), own.D.cum = cumsum(obs.i=="D"), other.D.cum = cumsum(obs.j=="D"), other.D.cum1 = (other.D.cum>=1)*1, other.D.cum2 = (other.D.cum>=2)*1, net.nice = other.D.cum - own.D.cum, net.nice1 = (net.nice>=1)*1, net.nice2 = (net.nice>=2)*1, error.D.i = lag(err.D.i, default=FALSE)*1, error.D.j = lag(err.D.j, default=FALSE)*1, error.D.i.cum = cumsum(error.D.i), error.D.j.cum = cumsum(error.D.j), num.err = error.D.i.cum+error.D.j.cum, diff.err = abs(error.D.i.cum-error.D.j.cum), error.D.i.once = (cumsum(error.D.i)>0)*1, error.D.j.once = (cumsum(error.D.j)>0)*1 ) # Names of all strategies strats = unique(rd$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,] }
max.time = 50 d = select(rd, match.id, strat, other.strat, t, i, u, other.u) d$pair = paste0(d$strat," vs ", d$other.strat) td = summarise(group_by(d, pair, t), strat1=strat[1], strat2=other.strat[1], u1=mean(u), u2 = mean(other.u)) td = as.data.frame(td) td = filter(td, t<=max.time) td = arrange(td, t, pair) td$date = as.Date(paste0(td$t,"-01-01")) p = gvisMotionChart(td, idvar = "pair", timevar = "date", xvar = "u1", yvar = "u2", colorvar = "strat1", sizevar = "", options = list()) plot(p)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.