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variables.R
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variables.R
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##library(dplyr)
.onAttach <- function (...) {
packageStartupMessage("warbase v 1.8.7")
}
ageAsOfSep15 <- function (season, DOB) {
#season = 20142015; DOB = c("1981-10-01", "1981-09-27", "1981-02-04")
ymd <- cbind(as.numeric (substr(DOB,1,4)), as.numeric (substr(DOB,6,7)), as.numeric (substr(DOB,9,10)))
as.numeric(substr(season,1,4)) - ymd[,1] - 1*(ymd[,2] >= 10) - 1*(ymd[,3] > 15 & ymd[,2] == 9)
}
ageAsOfJun30 <- function (season, DOB) {
#season = 20142015; DOB = c("1981-10-01", "1981-09-27", "1981-02-04")
ymd <- cbind(as.numeric (substr(DOB,1,4)), as.numeric (substr(DOB,6,7)), as.numeric (substr(DOB,9,10)))
as.numeric(substr(season,1,4)) - ymd[,1] - 1*(ymd[,2] >= 7) - 1*(ymd[,3] > 30 & ymd[,2] == 6)
}
yeardiff <- function (d1, d2) as.numeric(substr(d1,1,4)) - as.numeric(substr(d2,1,4)) - 1*(substr(d1,5,10) < substr(d2,5,10))
ageAtEnd <- function (year1, dob) yeardiff(paste0(year1, "-06-30"), dob)
anac <- function(...) as.numeric(as.character(...))
#color ramp palette, better
crp <- function (points, values) {
values[is.na(values)] <- 0.5;
values[values<0 | values > 1] <- 0.5;
rgb(colorRamp(points)(values), max=255)
}
swapnames <- function (df) {
colnames(df)[colnames(df) == "ZS.O.on"] <- "ZSO"
colnames(df)[colnames(df) == "ZS.N.on"] <- "ZSN"
colnames(df)[colnames(df) == "ZS.D.on"] <- "ZSD"
colnames(df)[colnames(df) == "ZSO.off"] <- "ZSOoff"
colnames(df)[colnames(df) == "ZSN.off"] <- "ZSNoff"
colnames(df)[colnames(df) == "ZSD.off"] <- "ZSDoff"
colnames(df)[colnames(df) == "ZS.Ooff"] <- "ZSOoff"
colnames(df)[colnames(df) == "ZS.Noff"] <- "ZSNoff"
colnames(df)[colnames(df) == "ZS.Doff"] <- "ZSDoff"
colnames(df)[colnames(df) == "ZS.O.off"] <- "ZSOoff"
colnames(df)[colnames(df) == "ZS.N.off"] <- "ZSNoff"
colnames(df)[colnames(df) == "ZS.D.off"] <- "ZSDoff"
colnames(df)[colnames(df) == "team"] <- "Team"
colnames(df)[colnames(df) == "opponent"] <- "Opponent"
df
}
fix.column.names <- function (...) swapnames(...)
swapout.oldnew <- function (originals, swaplist) {
new <- swaplist[match(originals, swaplist[,1]),2]
new[is.na(new)] <- originals[is.na(new)]
new
}
augment.html.div <- function (nm, name.object=goalie.variables) {
matcher <- name.object[match(nm,name.object[,1]),2]
matcher[is.na(matcher)] <- nm[is.na(matcher)]
p1 <- paste0("<div title=\"",matcher,"\">",nm,"</div>")
p1
}
## Definition of scoring chance:
scoring.chance <- function (pbp.data) {
pbp.data$danger.zone <- danger.zone[pbp.data$new.loc.section + 1]
(pbp.data$etype %in% c("GOAL","SHOT","MISS","BLOCK")) &
((pbp.data$etype %in% c("GOAL","SHOT","MISS") & pbp.data$shot.feature %in% higher.prob.events) |
(pbp.data$etype %in% c("GOAL","SHOT","MISS") & pbp.data$danger.zone == 2) |
pbp.data$danger.zone == 3)
}
augmentflip <- function (event.table) {
## Leading to trailing.
event.table$score.diff.cat[event.table$home == 0 & event.table$score.diff.cat < 7] <-
6 - event.table$score.diff.cat[event.table$home == 0 & event.table$score.diff.cat < 7]
## PP/SH, Goalie Pulled
event.table$gamestate[event.table$gamestate %in% 2:3 & event.table$home == 0] <- 5 - event.table$gamestate[event.table$gamestate %in% 2:3 & event.table$home == 0]
event.table$gamestate[event.table$gamestate %in% 5:6 & event.table$home == 0] <- 11 - event.table$gamestate[event.table$gamestate %in% 5:6 & event.table$home == 0]
return(event.table)
}
## For players, here are the additional rates that players need.
add.rates.players <- function (df) {
#df=out
#print(colnames(df))
colnames(df)[colnames(df) == "TOI.on"] <- "TOI"
if (!any(colnames(df) == "Gm")) df$Gm <- 1
df <- mutate(df, "CF%"=100*CF / (CF + CA),
"CF%off"=100*CFoff / (CFoff + CAoff),
"CF%Rel" = 100*(CF/(CF+CA) - CFoff/(CFoff+CAoff)),
CF60 = CF/TOI*60, CA60 = CA/TOI*60,
"C+/-" = CF - CA, CP60 = (CF + CA)/TOI*60,
"FF%" = 100*FF / (FF + FA),
"FF%off"=100*FFoff / (FFoff + FAoff),
"FF%Rel" = 100*(FF / (FF + FA) - FFoff/(FFoff+FAoff)),
FF60 = FF/TOI*60, FA60 = FA/TOI*60,
"F+/-" = FF - FA, FP60 = (FF + FA)/TOI*60,
"SF%" = 100*SF / (SF + SA),
"SF%off"=100*SFoff / (SFoff + SAoff),
"SF%Rel" = 100*(SF / (SF + SA) - SFoff/(SFoff+SAoff)),
SF60 = SF/TOI*60, SA60 = SA/TOI*60,
"S+/-" = SF - SA,
"GF%" = 100*GF / (GF + GA),
"GF%off"=100*GFoff / (GFoff + GAoff),
"GF%Rel" = 100*(GF / (GF + GA) - GFoff/(GFoff+GAoff)),
GF60 = GF/TOI*60, GA60 = GA/TOI*60,
"G+/-" = GF - GA,
"SCF%"=100*SCF / (SCF + SCA),
"SCF%off"=100*SCFoff / (SCFoff + SCAoff),
"SCF%Rel" = 100*(SCF/(SCF+SCA) - SCFoff/(SCFoff+SCAoff)),
SCF60 = SCF/TOI*60, SCA60 = SCA/TOI*60,
"SC+/-" = SCF - SCA, SCP60 = (SCF + SCA)/TOI*60,
"HSCF%"=100*HSCF / (HSCF + HSCA),
"HSCF%off"=100*HSCFoff / (HSCFoff + HSCAoff),
"HSCF%Rel" = 100*(HSCF/(HSCF+HSCA) - HSCFoff/(HSCFoff+HSCAoff)),
HSCF60 = HSCF/TOI*60, HSCA60 = HSCA/TOI*60,
"HSC+/-" = HSCF - HSCA, HSCP60 = (HSCF + HSCA)/TOI*60,
G60 = G/TOI*60, A60 = A/TOI*60,
A160 = A1/TOI*60, A260 = A2/TOI*60,
P60 = (G+A)/TOI*60,
P160 = (G+A1)/TOI*60,
"ZSO%" = 100*ZSO/(ZSO+ZSD),
"ZSO%Rel" = 100*(ZSO/(ZSO+ZSD) - ZSOoff/(ZSOoff+ZSDoff)),
PDO = 100*(GF/SF - GA/SA + 1),
PenD60=PenD/TOI*60,
"FO%" = 100*FO_W/(FO_W + FO_L),
"FO%^" = 100*(FO_W+max(0, 8-(FO_W+FO_L)*0.4))/
(FO_W + FO_L + max(0, 20-(FO_W+FO_L))),
"TOI/Gm" = TOI/Gm,
"TOI%" = 100*TOI/(TOI+TOIoff),
"OFOn%" = 100*SF/FF,
"OCOn%" = 100*SF/CF,
"OSh%" = 100*GF/SF,
"OFenSh%" = 100*GF/FF,
"OFAOn%" = 100*(1 - SA/FA),
"OCAOn%" = 100*(1 - SA/CA),
"OSv%" = 100*(1 - GA/SA),
"OFenSv%" = 100*(1- GA/FA),
"PFenSh%" = 100*G/(G+SH+MS),
"PSh%" = 100*G/(G+SH),
iSF = G+SH,
iFF = G+SH+MS,
iCF = G+SH+MS+BK)
df[["FO%"]][is.na(df[["FO%"]])] <- 40
return(df)
}
teamshrink <- function (tmvec)
paste({
d1 <- unique(unlist(strsplit(unique(as.character(tmvec)), "/")))
d1 <- d1[d1 != ""]
d1}, collapse="/")
## this version is for dCorsi in particular. ACT, 2014-12-23
compress.player.game.0 <- function(df) ## that is, from the individual game table.
summarize(df,
SH=sum(SHOT), MS=sum(MISS), G=sum(GOAL),
HIT=sum(HIT), "HIT-"=sum(HIT_TAKEN),
TK=sum(TAKE), GV=sum(GIVE),
PN=sum(PENL_TAKEN), "PN-"=sum(PENL_DRAWN),
PenD=sum(PENL_DRAWN) - sum(PENL_TAKEN),
BK=sum(BLOCKED_SHOT), AB=sum(BLOCK),
A=sum(ASSIST+ASSIST_2), A1=sum(ASSIST), A2=sum(ASSIST_2),# A1=A-A2,
iSC=sum(iSC), iHSC=sum(isSC),
FO_W=sum(FAC_WIN), FO_L=sum(FAC_LOSE),
CF=sum(CF), CA=sum(CA), CFoff=sum(CFoff), CAoff=sum(CAoff),
FF=sum(FF), FA=sum(FA), FFoff=sum(FFoff), FAoff=sum(FAoff),
SF=sum(SF), SA=sum(SA), SFoff=sum(SFoff), SAoff=sum(SAoff),
GF=sum(GF), GA=sum(GA), GFoff=sum(GFoff), GAoff=sum(GAoff),
SCF=sum(FF2+CF3+CF4), SCA=sum(FA2+CA3+CA4),
SCFoff=sum(FF2off+CF3off+CF4off), SCAoff=sum(FA2off+CA3off+CA4off),
HSCF=sum(FF3+CF4), HSCA=sum(FA3+CA4),
HSCFoff=sum(FF3off+CF4off), HSCAoff=sum(FA3off+CA4off),
ZSO=sum(ZSO), ZSN=sum(ZSN), ZSD=sum(ZSD),
ZSOoff=sum(ZSOoff), ZSNoff=sum(ZSNoff), ZSDoff=sum(ZSDoff),
TOI.on=sum(TOI, na.rm=TRUE)/60, TOIoff=sum(TOIoff, na.rm=TRUE)/60,
cTOI60=sum(cTOI60*TOI/60, na.rm=TRUE)/TOI.on,
tTOI60=sum(tTOI60*TOI/60, na.rm=TRUE)/TOI.on,
cCF60=sum(cCF60*TOI/60, na.rm=TRUE)/TOI.on,
tCF60=sum(tCF60*TOI/60, na.rm=TRUE)/TOI.on,
cCA60=sum(cCA60*TOI/60, na.rm=TRUE)/TOI.on,
tCA60=sum(tCA60*TOI/60, na.rm=TRUE)/TOI.on,
"TOIC%"=cTOI60,
"TOIT%"=tTOI60,
"CorC%"=cCF60/(cCF60 + cCA60)*100,
"CorT%"=tCF60/(tCF60 + tCA60)*100,
Team=teamshrink(Team),
Gm=length(unique(paste(season, gcode)))
)
compress.player.game <- function(df) ## that is, from the individual game table.
summarize(df,
SH=sum(SHOT), MS=sum(MISS), G=sum(GOAL),
HIT=sum(HIT), "HIT-"=sum(HIT_TAKEN),
TK=sum(TAKE), GV=sum(GIVE),
PN=sum(PENL_TAKEN), "PN-"=sum(PENL_DRAWN),
PenD=sum(PENL_DRAWN) - sum(PENL_TAKEN),
BK=sum(BLOCKED_SHOT), AB=sum(BLOCK),
A=sum(ASSIST+ASSIST_2), A1=sum(ASSIST), A2=sum(ASSIST_2),# A1=A-A2,
iSC=sum(iSC), iHSC=sum(isSC),
FO_W=sum(FAC_WIN), FO_L=sum(FAC_LOSE),
CF=sum(CF), CA=sum(CA), CFoff=sum(CFoff), CAoff=sum(CAoff),
FF=sum(FF), FA=sum(FA), FFoff=sum(FFoff), FAoff=sum(FAoff),
SF=sum(SF), SA=sum(SA), SFoff=sum(SFoff), SAoff=sum(SAoff),
GF=sum(GF), GA=sum(GA), GFoff=sum(GFoff), GAoff=sum(GAoff),
SCF=sum(FF2+CF3+CF4), SCA=sum(FA2+CA3+CA4),
SCFoff=sum(FF2off+CF3off+CF4off), SCAoff=sum(FA2off+CA3off+CA4off),
HSCF=sum(FF3+CF4), HSCA=sum(FA3+CA4),
HSCFoff=sum(FF3off+CF4off), HSCAoff=sum(FA3off+CA4off),
ZSO=sum(ZSO), ZSN=sum(ZSN), ZSD=sum(ZSD),
ZSOoff=sum(ZSOoff),ZSNoff=sum(ZSNoff),ZSDoff=sum(ZSDoff),
TOI.on=sum(TOI, na.rm=TRUE)/60, TOIoff=sum(TOIoff, na.rm=TRUE)/60,
cTOI60=sum(cTOI60*TOI/60, na.rm=TRUE)/TOI.on,
tTOI60=sum(tTOI60*TOI/60, na.rm=TRUE)/TOI.on,
cCF60=sum(cCF60*TOI/60, na.rm=TRUE)/TOI.on,
cCA60=sum(cCA60*TOI/60, na.rm=TRUE)/TOI.on,
tCF60=sum(tCF60*TOI/60, na.rm=TRUE)/TOI.on,
tCA60=sum(tCA60*TOI/60, na.rm=TRUE)/TOI.on,
"TOIC%"=cTOI60, ##sum(TOIPctC*TOI/60, na.rm=TRUE)/TOI.on*100,
"TOIT%"=tTOI60, ##sum(TOIPctT*TOI/60, na.rm=TRUE)/TOI.on*100,
"CorC%"=cCF60/(cCF60 + cCA60)*100, ##sum(CorsiC*TOI/60, na.rm=TRUE)/TOI.on*100,
"CorT%"=tCF60/(tCF60 + tCA60)*100, ##sum(CorsiT*TOI/60, na.rm=TRUE)/TOI.on*100,
Team=teamshrink(Team),
Gm=length(unique(paste(season, gcode))),
home=home[1]
##,Games=length(unique(paste(season, gcode)))
)
compress.player.game.precomp <- function(df) ## that is, from the individual game table.
summarize(df,
SH=sum(SHOT), MS=sum(MISS), G=sum(GOAL),
HIT=sum(HIT), "HIT-"=sum(HIT_TAKEN),
TK=sum(TAKE), GV=sum(GIVE),
PN=sum(PENL_TAKEN), "PN-"=sum(PENL_DRAWN),
PenD=sum(PENL_DRAWN) - sum(PENL_TAKEN),
BK=sum(BLOCKED_SHOT), AB=sum(BLOCK),
A=sum(ASSIST+ASSIST_2), A1=sum(ASSIST), A2=sum(ASSIST_2),# A1=A-A2,
iSC=sum(iSC), iHSC=sum(isSC),
FO_W=sum(FAC_WIN), FO_L=sum(FAC_LOSE),
CF=sum(CF), CA=sum(CA), CFoff=sum(CFoff), CAoff=sum(CAoff),
FF=sum(FF), FA=sum(FA), FFoff=sum(FFoff), FAoff=sum(FAoff),
SF=sum(SF), SA=sum(SA), SFoff=sum(SFoff), SAoff=sum(SAoff),
GF=sum(GF), GA=sum(GA), GFoff=sum(GFoff), GAoff=sum(GAoff),
SCF=sum(FF2+CF3+CF4), SCA=sum(FA2+CA3+CA4),
SCFoff=sum(FF2off+CF3off+CF4off), SCAoff=sum(FA2off+CA3off+CA4off),
HSCF=sum(FF3+CF4), HSCA=sum(FA3+CA4),
HSCFoff=sum(FF3off+CF4off), HSCAoff=sum(FA3off+CA4off),
ZSO=sum(ZSO), ZSN=sum(ZSN), ZSD=sum(ZSD),
ZSOoff=sum(ZSOoff),ZSNoff=sum(ZSNoff),ZSDoff=sum(ZSDoff),
TOI.on=sum(TOI, na.rm=TRUE)/60, TOIoff=sum(TOIoff, na.rm=TRUE)/60,
cTOI60=sum(cTOI60*TOI/60, na.rm=TRUE)/TOI.on,
tTOI60=sum(tTOI60*TOI/60, na.rm=TRUE)/TOI.on,
cCF60=sum(cCF60*TOI/60, na.rm=TRUE)/TOI.on,
cCA60=sum(cCA60*TOI/60, na.rm=TRUE)/TOI.on,
tCF60=sum(tCF60*TOI/60, na.rm=TRUE)/TOI.on,
tCA60=sum(tCA60*TOI/60, na.rm=TRUE)/TOI.on,
"TOIC%"=cTOI60, ##sum(TOIPctC*TOI/60, na.rm=TRUE)/TOI.on*100,
"TOIT%"=tTOI60, ##sum(TOIPctT*TOI/60, na.rm=TRUE)/TOI.on*100,
"CorC%"=cCF60/(cCF60 + cCA60)*100, ##sum(CorsiC*TOI/60, na.rm=TRUE)/TOI.on*100,
"CorT%"=tCF60/(tCF60 + tCA60)*100, ##sum(CorsiT*TOI/60, na.rm=TRUE)/TOI.on*100,
Team=teamshrink(Team),
Gm=sum(Gm),
home=home[1]
)
####################################################################
##
## Team choices, functions.
add.rates.teams <- function (df) {
mutate(df,
"CF%"=100*CF / (CF + CA),
CF60 = CF/TOI*60, CA60 = CA/TOI*60,
"C+/-" = CF - CA, "CP60" = (CF + CA)/TOI*60,
"FF%" = 100*FF / (FF + FA),
FF60 = FF/TOI*60, FA60 = FA/TOI*60,
"F+/-" = FF - FA, "FP60" = (FF + FA)/TOI*60,
"SF%" = 100*SF / (SF + SA),
SF60 = SF/TOI*60, SA60 = SA/TOI*60, "S+/-" = SF - SA,
"GF%" = 100*GF / (GF + GA),
GF60 = GF/TOI*60, GA60 = GA/TOI*60, "G+/-" = GF - GA,
"SCF%"=100*SCF / (SCF + SCA),
SCF60 = SCF/TOI*60, SCA60 = SCA/TOI*60,
"SC+/-" = SCF - SCA, SCP60 = (SCF + SCA)/TOI*60,
"HSCF%"=100*HSCF / (HSCF + HSCA),
HSCF60 = HSCF/TOI*60, HSCA60 = HSCA/TOI*60,
"HSC+/-" = HSCF - HSCA, HSCP60 = (HSCF + HSCA)/TOI*60,
"ZSO%" = 100*ZSO/(ZSO+ZSD),
PDO = 100*(GF/SF - GA/SA + 1),
"FO%" = 100*FO_W/(FO_W + FO_L),
PenD60=PenD/TOI*60*60,
"OFOn%" = 100*SF/FF,
"OCOn%" = 100*SF/CF,
"OSh%" = 100*GF/SF,
"OFenSh%" = 100*GF/FF,
"OFAOn%" = 100*(1 - SA/FA),
"OCAOn%" = 100*(1 - SA/CA),
"OSv%" = 100*(1 - GA/SA),
"OFenSv%" = 100*(1- GF/FF),
MSF = FF-SF, MSA = FA-SA,
BSF = CF-FF, BSA = CA-FA
) #), 2) return(cbind(df, rates))
}
compress.team <- function(df)
dplyr::summarize(df,
"PN"=sum(PENL_TAKEN),
"PN-"=sum(PENL_DRAWN),
PenD=sum(PENL_DRAWN) - sum(PENL_TAKEN),
"HIT"=sum(HIT),
"HIT-"=sum(HIT_TAKEN),
FO_W=sum(FAC_WIN),
FO_L=sum(FAC_LOSE),
CF=sum(CF), CA=sum(CA),
FF=sum(FF), FA=sum(FA),
SF=sum(SF), SA=sum(SA),
GF=sum(GF), GA=sum(GA),
SCF=sum(FF2+CF3+CF4), SCA=sum(FA2+CA3+CA4),
HSCF=sum(FF3+CF4), HSCA=sum(FA3+CA4),
ZSO=sum(ZSO), ZSN=sum(ZSN), ZSD=sum(ZSD),
TOI=sum(TOI)/60,
Gm=length(unique(paste(season, gcode))))
####################################################################
##
## Goalie choices, functions
goalie.compressor <- function(df)
dplyr::summarize(df,
GU=sum(goals.0),
SU=sum(shots.0),
G.L=sum(goals.1),
S.L=sum(shots.1),
G.M=sum(goals.2),
S.M=sum(shots.2),
G.H=sum(goals.3 + goals.4),
S.H=sum(shots.3 + shots.4),
TOI=round(sum(TOI)/60, 1),
Gm=length(unique(paste0(season, gcode))),
Team={tms=unique(as.character(Team)); paste(tms[nchar(tms)>0],collapse="/")}
)
compress.goalietable <- function (dftable.sub) #, gamestest2=gamestest, startdate="2013-10-01", enddate="2014-09-30")
{dftable.sub %>% group_by(ID, Name) %>% goalie.compressor}
compress.goalietable.season <- function (dftable.sub) #, gamestest2=gamestest, startdate="2013-10-01", enddate="2014-09-30")
{dftable.sub %>% group_by(ID, Name, season) %>% goalie.compressor}
compress.goalietable.game <- function (dftable.sub) #, gamestest2=gamestest, startdate="2013-10-01", enddate="2014-09-30")
{dftable.sub %>% group_by(ID, Name, season, gcode) %>% goalie.compressor}
goalie.compressor.game <- function(df)
dplyr::summarize(df,
Team=Team[1],
Opp=Opponent[1],
Date=thisdate[1],
G.U=sum(goals.0),
S.U=sum(shots.0),
G.L=sum(goals.1),
S.L=sum(shots.1),
G.M=sum(goals.2),
S.M=sum(shots.2),
G.H=sum(goals.3 + goals.4),
S.H=sum(shots.3 + shots.4),
TOI=round(sum(TOI)/60,1))
compress.goalietable.date <- function (dftable.sub) #, gamestest2=gamestest, startdate="2013-10-01", enddate="2014-09-30")
{dftable.sub %>% group_by(ID, Name, season, gcode) %>% goalie.compressor.game}
## c("AdjustedSvPct","UnadjSvPct", "SvPctLow","SvPctMed","SvPctHigh", "Goals.Low","Saves.Low", "Goals.Med","Saves.Med", "Goals.High","Saves.High","TOI","Games","ShotsPer60")