Last time around I used R to plot the average runs per game for the American League, starting in 1901. Now I’ll do the same for the National League. I'll save a comparison of the two leagues for my next post.
A fundamental principal of programming is that code can be repurposed for different sets of datas. So much of what I’m going to describe recycles the R code I used for the AL exercise.
So starting with the preliminary step, I went back to Baseball Reference for the data, followed up by the same sort of finessing described for the AL. Once the data was read into the R workspace, I simply copies the AL code, and changed the variable names to create new objects and variables. (I could have simply rerun the same code, but I wanted to have both the AL and NL data and trend lines available for comparison.) This included creating new LOESS trend lines.
Game 38, Mariners at Blue Jays
18 hours ago