r - Group by combined with matching -


small rep of data set:

team1 <- c("atl", "chi", "cle", "det", "gsw", "nop", "bkn","atl", "phi","chi") home.away <- c("vs.", "vs.", "@", "@", "vs.", "@", "vs.","vs.", "@","@") team2 <- c("det", "cle", "chi", "atl", "nop", "gsw", "chi","phi", "atl","bkn") date <- as.date(c("2015-05-14", "2015-05-14", "2015-05-14",            "2015-05-14","2015-05-14", "2015-05-14", "2015-05-15","2015-05-15",            "2015-05-15","2015-05-15")) pts <- c(94, 97, 95, 106, 111, 95, 100,112,87, 94) df <- data.frame(team1,home.away,team2,pts,date)  df     team1 home.away team2 pts       date    atl       vs.   det  94 2015-05-14    chi       vs.   cle  97 2015-05-14    cle         @   chi  95 2015-05-14    det         @   atl 106 2015-05-14    gsw       vs.   nop 111 2015-05-14    nop         @   gsw  95 2015-05-14    bkn       vs.   chi 100 2015-05-15    atl       vs.   phi 112 2015-05-15    phi         @   atl  87 2015-05-15    chi       vs.   bkn  94 2015-05-15

the dataframe organized team level. each game, create 2 rows of data. example, atlanta vs detroit (first row) , detroit vs atlanta (fourth row). dataframe includes boxscore (pts, reb, ast...) team1. example included points scored variable. create new variable "points scored opponent team".

output this:

   team1 home.away team2 pts       date  pts.oppt    atl       vs.   det  94 2015-05-14    106    chi       vs.   cle  97 2015-05-14    95    cle         @   chi  95 2015-05-14    97    det         @   atl 106 2015-05-14    94    gsw       vs.   nop 111 2015-05-14    95    nop         @   gsw  95 2015-05-14    111    bkn       vs.   chi 100 2015-05-15    94    atl       vs.   phi 112 2015-05-15    87    phi         @   atl  87 2015-05-15    112    chi       vs.   bkn  94 2015-05-15    100

i tried using group date , sort of matching couldn't figure out matching part.

> team1 <- c("atl", "chi", "cle", "det", "gsw", "nop", "bkn","atl", "phi","chi") > home.away <- c("vs.", "vs.", "@", "@", "vs.", "@", "vs.","vs.", "@","@") > team2 <- c("det", "cle", "chi", "atl", "nop", "gsw", "chi","phi", "atl","bkn") > date <- as.date(c("2015-05-14", "2015-05-14", "2015-05-14", +                   "2015-05-14","2015-05-14", "2015-05-14", "2015-05-15","2015-05-15", +                   "2015-05-15","2015-05-15")) > pts <- c(94, 97, 95, 106, 111, 95, 100,112,87, 94) > df <- data.frame(team1,home.away,team2,pts,date) >  > df<-merge(df, df,  by.x=c("team1", "team2", "date"), by.y=c("team2", "team1", "date")) > df<-df[,c("team1", "home.away.x", "team2", "pts.x","date", "pts.y" )] > names(df)<-c("team1", "home.away", "team2","pts", "date", "pts.oppt") > df    team1 home.away team2 pts       date pts.oppt 1    atl       vs.   det  94 2015-05-14      106 2    atl       vs.   phi 112 2015-05-15       87 3    bkn       vs.   chi 100 2015-05-15       94 4    chi         @   bkn  94 2015-05-15      100 5    chi       vs.   cle  97 2015-05-14       95 6    cle         @   chi  95 2015-05-14       97 7    det         @   atl 106 2015-05-14       94 8    gsw       vs.   nop 111 2015-05-14       95 9    nop         @   gsw  95 2015-05-14      111 10   phi         @   atl  87 2015-05-15      112

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