#
# Build the data sets used in the package
#
#############################################################
require(openWAR)
# Get the data from a single game
MetsBraves = gameday()
save(MetsBraves, file = "data/MetsBraves.rdata")
# Get the data for 2012
MLBAM2012 = getData(start = "2013-03-28", end = "2013-10-03")
save(MLBAM2012, file = "data/MLBAM2012.rda")
# Get the data for 2013
MLBAM2013 = getData(start = "2013-03-31", end = "2013-09-30")
save(MLBAM2013, file = "data/MLBAM2013.rda")
# Use the data from 2012 to compute WAR
madeWAR2012 = makeWAR(MLBAM2012)
openWARPlays.2012 = madeWAR2012$openWAR
save(openWARPlays.2012, file="data/openWARPlays.2012.rda")
openWAR.2012 = getWAR(openWARPlays.2012)
save(openWAR.2012, file="data/openWAR.2012.rda")
# Use the data from 2013 to compute WAR
openWAR.2013 = getWAR(madeWAR2013$openWAR)
save(openWAR.2013, file="data/openWAR.2013.rda")
# Generated the uncertainty estimates
ds = makeWAR(MLBAM2013)
# Will take a loooooong time
openWAR.2013.sim = shakeWAR(ds, N = 2000)
save(openWAR.2013.sim, file="data/openWAR.2013.sim.rda")
# Build idmap
idmap = read.csv("data/id-map.csv", na.strings = c("NULL"))
save(idmap, file="data/idmap.rda")
# Cross-check our WAR with bbref
rWAR = getrWAR()
rWAR2012 = subset(rWAR, yearId == 2012)
ids = getIDMap()
data(idmap)
WAR = merge(x=rWAR2012, y=ids, by.x="playerId", by.y="playerID")
WAR = merge(x=WAR, y=players, by.x="mlbamId", by.y="batterId")
panel.compare = function (x, y,...) {
panel.xyplot(x,y, pch=19, alpha=0.3, ...)
panel.abline(0,1, col="darkgray")
panel.text(0, 0, paste("Correlation =", round(cor(x,y, use="complete.obs"), 3)))
}
xyplot(RAA_bat ~ RAA.bat, data=WAR, type=c("p", "r", "smooth")
, panel=panel.compare
, main="Comparison of openWAR vs. rWAR, 2012"
, xlab = "Batting Runs Above Average (openWAR)", ylab="Batting Runs Above Average (rWAR)")
with(WAR, cor(RAA_bat, RAA.bat))
favstats(~RAA.bat, data=players)
favstats(~RAA_bat, data=rWAR2012)
densityplot(~RAA_bat, data=rWAR2012)
ladd(panel.densityplot(players$RAA.bat, col="pink"))
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