Created
August 31, 2014 19:49
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Stephen Parsons created this gist
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This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,55 @@ library(XML) library(plyr) # get league data qb <- readHTMLTable("http://www.fantasypros.com/nfl/projections/qb.php", stringsAsFactors = FALSE)$data rb <- readHTMLTable("http://www.fantasypros.com/nfl/projections/rb.php", stringsAsFactors = FALSE)$data wr <- readHTMLTable("http://www.fantasypros.com/nfl/projections/wr.php", stringsAsFactors = FALSE)$data te <- readHTMLTable("http://www.fantasypros.com/nfl/projections/te.php", stringsAsFactors = FALSE)$data k <- readHTMLTable("http://www.fantasypros.com/nfl/projections/k.php", stringsAsFactors = FALSE)$data d <- readHTMLTable("http://games.espn.go.com/ffl/tools/projections?leagueId=0&slotCategoryId=16", stringsAsFactors = FALSE)$playertable_0 colnames(d) <- d[1,] d <- d[-1,][c("PLAYER, TEAM POS", "PTS")] colnames(d) <- c("Player", "FPTS") d[,1] <- sapply(d[,1], function(elem) unlist(strsplit(elem, ' '))[1]) qb$POS <- "QB" rb$POS <- "RB" wr$POS <- "WR" te$POS <- "TE" k$POS <- "K" d$POS <- "D/ST" players <- rbind.fill(qb, rb, wr, te, k, d) players <- players[,c("Player", "POS", "FPTS")] players$FPTS <- as.numeric(players$FPTS) players <- players[order(-players$FPTS),] # Define league size and starting lineup structure leaguePlayers <- 10 startingQBs <- 1 startingRBs <- 1.5 startingWRs <- 2.5 startingTEs <- 1 startingKs <- 1 startingDs <- 1 players$RV <- 0 # Calculate RV (Replacement Value) for each position players[players$POS == "QB",]$RV <- mean(players[players$POS == "QB",][1:(leaguePlayers * startingQBs),]$FPTS) players[players$POS == "RB",]$RV <- mean(players[players$POS == "RB",][1:(leaguePlayers * startingRBs),]$FPTS) players[players$POS == "WR",]$RV <- mean(players[players$POS == "WR",][1:(leaguePlayers * startingWRs),]$FPTS) players[players$POS == "TE",]$RV <- mean(players[players$POS == "TE",][1:(leaguePlayers * startingTEs),]$FPTS) players[players$POS == "K" ,]$RV <- mean(players[players$POS == "K" ,][1:(leaguePlayers * startingKs ),]$FPTS) players[players$POS == "D/ST",]$RV <- mean(players[players$POS == "D/ST",][1:(leaguePlayers * startingDs ),]$FPTS) # Calculate VOR (Value Over Replacement) for each position players$VOR <- players$FPTS - players$RV # Order by descending VOR players <- players[order(-players$VOR),] write.csv(players, file="players.csv")