Greetings people who are good at R,

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I come to you in a time of great need. I am a masters student in a non-quantitative field (strength and conditioning) and am using R to analyze my thesis data. I'm currently scheduled to defend on May 5th, but need to add graphs to my document first. My stats advisor has sent me the necessary R code to generate the graphs with the variables I want visualized. Now, the only thing I need to do on my own, is make sure there's no doubles in the color for the scatterplot. It was described to me that R only has a few default colors, but that I should be able to find hexadecimal codes or something to make a list of 14 unique colors, then iterate through that to make sure each participant is a unique color. I will copy the code for one plot below, but if anyone can help me modify it to simply have each of 14 participants be a different color I would forever be in your debt!

  # Plot relative power vs. total distance
plot(data$Distance,data$Mean_W_Kg,pch="",
     ylab="Relative Power (w/kg)",
     xlab="Total Distance (km)",
     main="Relative Power vs. Total Distance (km)")
for(i in 1:length(unique(data$Player))){
  sub <- subset(data, Player==unique(data$Player)[i])
  lines(sub$Distance,sub$Mean_W_Kg,col=i)
  points(sub$Distance,sub$Mean_W_Kg,col=i,pch=19)
}
abline(a=51.57,b=.23,lwd=3,lty=2,col="lightgrey")

I have this same block but with different variables for three other plots. My advisor said its possible to create a variable that's a list of 14 colors, then iterate through it and reference it at index "i". Alas, I know very little R and require assistance.