AwardsSharePlayers | R Documentation |
Award voting for managers awards
data(AwardsSharePlayers)
A data frame with 7447 observations on the following 7 variables.
awardID
name of award votes were received for
yearID
Year
lgID
League; a factor with levels AL
ML
NL
playerID
Player ID code
pointsWon
Number of points received
pointsMax
Maximum number of points possible
votesFirst
Number of first place votes
Lahman, S. (2024) Lahman's Baseball Database, 1871-2023, 2023 version, http://www.seanlahman.com/
# Vote tallies for post-season player awards
require("dplyr")
# Which awards are represented in this data frame?
unique(AwardsSharePlayers$awardID)
# Sort the votes for the Cy Young award in decreasing order.
# Until 1967, the award went to the best pitcher
# in both leagues.
cyvotes <- AwardsSharePlayers %>%
filter(awardID == "Cy Young") %>%
group_by(yearID, lgID) %>%
arrange(desc(pointsWon))
# 2012 votes
subset(cyvotes, yearID == 2012)
# top three votegetters each year by league
cya_top3 <- cyvotes %>%
group_by(yearID, lgID) %>%
do(head(., 3))
head(cya_top3, 12)
# unanimous Cy Young winners
subset(cyvotes, pointsWon == pointsMax)
## CYA was a major league award until 1967
# Find top five pitchers with most top 3 vote tallies in CYA
# head(with(cya_top3, rev(sort(table(playerID)))), 5)
# Pre-1967
cya_top3 %>%
filter(yearID <= 1966) %>%
group_by(playerID) %>%
summarise(yrs_top3 = n()) %>%
arrange(desc(yrs_top3)) %>%
head(., 2)
# 1967+ (both leagues)
cya_top3 %>%
filter(yearID > 1966) %>%
group_by(playerID) %>%
summarise(yrs_top3 = n()) %>%
arrange(desc(yrs_top3)) %>%
head(., 5)
# 1967+ (by league)
cya_top3 %>%
filter(yearID > 1966) %>%
group_by(playerID, lgID) %>%
summarise(yrs_top3 = n()) %>%
arrange(desc(yrs_top3)) %>%
head(., 5)
# Ditto for MVP awards
# Top 3 votegetters for MVP award by year and league
MVP_top3 <- AwardsSharePlayers %>%
filter(awardID == "MVP") %>%
group_by(yearID, lgID) %>%
arrange(desc(pointsWon)) %>%
do(head(., 3))
tail(MVP_top3)
## Select players with >= 7 top 3 finishes
MVP_top3 %>%
group_by(playerID) %>%
summarise(n_top3 = n()) %>%
arrange(desc(n_top3)) %>%
filter(n_top3 > 6)
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