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December 20, 2015 22:39
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| # @ Given a data frame slice, this function determines who had more wins in that slice | |
| moreWins <- function(df) { | |
| valid.rows <- sum(!is.na(df$GK.won)) # count of 0 or 1 values | |
| if(valid.rows==0) { | |
| return("00") | |
| } | |
| gk.wins <- sum(na.omit(df$GK.won == "1")) #how many times did GK win | |
| gk.losses <- sum(na.omit(df$GK.won == "0")) #how many times did GK lose | |
| if(gk.wins > gk.losses) { | |
| return("GK") | |
| } | |
| else if(gk.wins == gk.losses) { | |
| return("DR") | |
| } | |
| else { | |
| return("AK") | |
| } | |
| } | |
| yearlywinner.df <- ddply(df, .(year), moreWins) | |
| names(yearlywinner.df)[2] <- "winner.1" | |
| five.year.winner.df <- ddply(df, .(five.year), moreWins) | |
| names(five.year.winner.df)[2] <- "winner.5" | |
| decade.winner.df <- ddply(df, .(decade), moreWins) | |
| names(decade.winner.df)[2] <- "winner.10" |
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