[R] Chap2 Ex1 Top Base Stealers in the Hall of Frame

Chapter 2. Exercises 1.
Top Base Stealers in the Hall of Frame

Analyzing Baseball Data with R, Introduction to R, page 56

 

 

The flollowing table gives the number of stolen bases (SB), the number of times caught stealing (CS), and the number of games played (G) for nine players currently inducted in the Hall of Frame.

 

Player	SB	CS	G
Rickey Henderson	1406	335	3081
Lou Brock	938	307	2616
Ty Cobb	897	212	3034
Eddie Collins	741	195	2826
Max Carey	738	109	2476
Joe Morgan	689	162	2649
Luis Aparicio	506	136	2599
Paul Molitor	504	131	2683
Roberto Alomar	474	114	2379

 

(a) In R, place the stolen base, caught stealing, and game counts in the vectors SB, CS, and G.

 
SB <- c(1406, 938, 897, 741, 738, 689, 506, 504, 474)
CS <- c(335, 307, 212, 195, 109, 162, 136, 131, 114)
G <- c(3081, 2616, 3034, 2826, 2476, 2649, 2599, 2683, 2379)

 

(b) For all players, compute the number of stolen base attempts SB + CS and store in the vector SB.Attempt.

 
SB.Attempt <- SB + CS

(c) For all players, compute the success rate Success.Rate = SB / SB.Attempt

 
Success.Rate <- SB / SB.Attempt 

(d) Compute the number of stolen bases per game SB.Game = SB / Game. 

 
SB.Game <- SB / G 

 (e) Construct a scatterplot of the stolen bases per game against the success rates.

plot(Success.Rate, SB.Game)

 

Are there particular players with unusually high or low stolen base success rates?

 

Max Carey -> high

Lou Brock -> low 

 

Which player had the greates number of stolen bases per game?

 

Rickey Henderson

 

Analyzing Baseball Data with R, Introduction to R