Appearances table
Appearances.RdData on player appearances
Usage
data(Appearances)Format
A data frame with 113720 observations on the following 21 variables.
yearIDYear
teamIDTeam; a factor
lgIDLeague; a factor with levels
AAALFLNLPLUAplayerIDPlayer ID code
G_allTotal games played
GSGames started
G_battingGames in which player batted
G_defenseGames in which player appeared on defense
G_pGames as pitcher
G_cGames as catcher
G_1bGames as firstbaseman
G_2bGames as secondbaseman
G_3bGames as thirdbaseman
G_ssGames as shortstop
G_lfGames as leftfielder
G_cfGames as centerfielder
G_rfGames as right fielder
G_ofGames as outfielder
G_dhGames as designated hitter
G_phGames as pinch hitter
G_prGames as pinch runner
Details
The Appearances table in the original version has some incorrect variable names.
In particular, the 5th column is career_year.
Source
Lahman, S. (2024) Lahman's Baseball Database, 1871-2023, 2024 version, http://www.seanlahman.com/
Examples
data(Appearances)
library("dplyr")
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
library("tidyr")
# Henry Aaron's last two years as a DH in Milwaukee
Appearances %>%
filter(playerID == "aaronha01" & teamID == "ML4") %>%
select(yearID:G_batting, G_of:G_ph) # subset variables
#> yearID teamID lgID playerID G_all GS G_batting G_of G_dh G_ph
#> 1 1975 ML4 AL aaronha01 137 129 137 3 127 8
#> 2 1976 ML4 AL aaronha01 85 70 85 1 74 15
# Herb Washington, strictly a pinch runner for Oakland in 1974-5
Appearances %>%
filter(playerID == "washihe01")
#> yearID teamID lgID playerID G_all GS G_batting G_defense G_p G_c G_1b G_2b
#> 1 1974 OAK AL washihe01 92 0 92 0 0 0 0 0
#> 2 1975 OAK AL washihe01 13 0 13 0 0 0 0 0
#> G_3b G_ss G_lf G_cf G_rf G_of G_dh G_ph G_pr
#> 1 0 0 0 0 0 0 28 0 92
#> 2 0 0 0 0 0 0 3 0 13
# A true utility player - Jerry Hairston, Jr.
Appearances %>%
filter(playerID == "hairsje02")
#> yearID teamID lgID playerID G_all GS G_batting G_defense G_p G_c G_1b G_2b
#> 1 1998 BAL AL hairsje02 6 2 6 4 0 0 0 4
#> 2 1999 BAL AL hairsje02 50 49 50 50 0 0 0 50
#> 3 2000 BAL AL hairsje02 49 49 49 49 0 0 0 49
#> 4 2001 BAL AL hairsje02 159 154 159 156 0 0 0 156
#> 5 2002 BAL AL hairsje02 122 118 122 119 0 0 0 119
#> 6 2003 BAL AL hairsje02 58 56 58 48 0 0 0 48
#> 7 2004 BAL AL hairsje02 86 80 86 62 0 0 0 12
#> 8 2005 CHN NL hairsje02 114 91 114 104 0 0 0 44
#> 9 2006 CHN NL hairsje02 38 21 38 32 0 0 1 24
#> 10 2006 TEX AL hairsje02 63 24 63 56 0 0 0 1
#> 11 2007 TEX AL hairsje02 73 41 73 71 0 0 0 16
#> 12 2008 CIN NL hairsje02 80 62 80 71 0 0 0 7
#> 13 2009 CIN NL hairsje02 86 77 86 81 0 0 0 9
#> 14 2009 NYA AL hairsje02 45 21 45 41 0 0 0 3
#> 15 2010 SDN NL hairsje02 119 105 119 114 0 0 0 47
#> 16 2011 MIL NL hairsje02 45 32 45 40 0 0 0 27
#> 17 2011 WAS NL hairsje02 75 60 75 72 0 0 0 3
#> 18 2012 LAN NL hairsje02 78 63 78 74 0 0 1 30
#> 19 2013 LAN NL hairsje02 96 43 96 63 0 0 13 1
#> G_3b G_ss G_lf G_cf G_rf G_of G_dh G_ph G_pr
#> 1 0 0 0 0 0 0 0 0 3
#> 2 0 0 0 0 0 0 0 0 1
#> 3 0 0 0 0 0 0 0 0 0
#> 4 0 0 0 0 0 0 0 0 3
#> 5 0 0 0 0 0 0 0 2 2
#> 6 0 0 0 0 0 0 9 1 1
#> 7 1 0 10 15 27 52 21 2 3
#> 8 0 1 20 48 1 62 0 15 1
#> 9 0 0 3 0 5 8 0 7 2
#> 10 1 3 35 12 7 52 3 4 13
#> 11 10 2 21 22 6 49 0 6 5
#> 12 1 34 24 17 12 42 0 10 0
#> 13 33 31 9 3 5 17 0 7 0
#> 14 16 11 10 2 9 19 3 4 8
#> 15 3 62 4 0 8 12 0 7 1
#> 16 5 1 1 11 0 12 0 5 2
#> 17 44 1 22 9 0 30 0 8 2
#> 18 32 2 18 0 0 18 1 10 0
#> 19 28 0 23 0 4 27 0 39 1
# Appearances for the 1984 Cleveland Indians
Appearances %>%
filter(teamID == "CLE" & yearID == 1984)
#> yearID teamID lgID playerID G_all GS G_batting G_defense G_p G_c G_1b G_2b
#> 1 1984 CLE AL apontlu01 25 0 0 25 25 0 0 0
#> 2 1984 CLE AL bandoch01 75 60 75 64 0 63 1 0
#> 3 1984 CLE AL barklje01 3 0 0 3 3 0 0 0
#> 4 1984 CLE AL behenri01 3 3 0 3 3 0 0 0
#> 5 1984 CLE AL bernato01 140 122 140 136 0 0 0 136
#> 6 1984 CLE AL blylebe01 33 32 0 33 33 0 0 0
#> 7 1984 CLE AL butlebr01 159 149 159 156 0 0 0 0
#> 8 1984 CLE AL camacer01 69 0 0 69 69 0 0 0
#> 9 1984 CLE AL cartejo01 66 55 66 60 0 0 7 0
#> 10 1984 CLE AL castica01 87 56 87 70 0 0 0 0
#> 11 1984 CLE AL comerst01 22 20 0 22 22 0 0 0
#> 12 1984 CLE AL easteja01 26 1 0 26 26 0 0 0
#> 13 1984 CLE AL farrst01 31 16 0 31 31 0 0 0
#> 14 1984 CLE AL fischmi01 85 45 85 83 0 0 0 55
#> 15 1984 CLE AL francju01 160 158 160 159 0 0 0 0
#> 16 1984 CLE AL frazige01 22 0 0 22 22 0 0 0
#> 17 1984 CLE AL hallme01 83 65 83 69 0 0 0 0
#> 18 1984 CLE AL hargrmi01 133 85 133 124 0 0 124 0
#> 19 1984 CLE AL hassero01 48 39 48 45 0 44 1 0
#> 20 1984 CLE AL heatone01 38 34 0 38 38 0 0 0
#> 21 1984 CLE AL jacobbr01 126 125 126 126 0 0 0 0
#> 22 1984 CLE AL jeffcmi01 63 1 0 63 63 0 0 0
#> 23 1984 CLE AL moronje01 7 5 7 6 0 0 0 0
#> 24 1984 CLE AL nixonot01 49 29 49 46 0 0 0 0
#> 25 1984 CLE AL noboaju01 23 1 23 19 0 0 0 19
#> 26 1984 CLE AL perkibr01 58 7 58 2 0 0 2 0
#> 27 1984 CLE AL quirkja01 1 0 1 1 0 1 0 0
#> 28 1984 CLE AL rhombke01 13 2 13 9 0 0 1 1
#> 29 1984 CLE AL romanjo02 3 2 0 3 3 0 0 0
#> 30 1984 CLE AL romerra01 1 0 0 1 1 0 0 0
#> 31 1984 CLE AL schuldo01 19 14 0 19 19 0 0 0
#> 32 1984 CLE AL smithro01 22 14 0 22 22 0 0 0
#> 33 1984 CLE AL spillda01 14 8 0 14 14 0 0 0
#> 34 1984 CLE AL sutclri01 15 15 0 15 15 0 0 0
#> 35 1984 CLE AL tablepa01 144 131 144 139 0 0 67 1
#> 36 1984 CLE AL thornan01 155 155 155 11 0 0 11 0
#> 37 1984 CLE AL ujdurje01 4 3 0 4 4 0 0 0
#> 38 1984 CLE AL vukovge01 134 110 134 130 0 0 0 0
#> 39 1984 CLE AL waddeto01 58 0 0 58 58 0 0 0
#> 40 1984 CLE AL willaje01 87 68 87 76 0 76 0 0
#> G_3b G_ss G_lf G_cf G_rf G_of G_dh G_ph G_pr
#> 1 0 0 0 0 0 0 0 0 0
#> 2 1 0 0 0 0 0 1 13 0
#> 3 0 0 0 0 0 0 0 0 0
#> 4 0 0 0 0 0 0 0 0 0
#> 5 0 0 0 0 0 0 1 3 4
#> 6 0 0 0 0 0 0 0 0 0
#> 7 0 0 0 156 1 156 0 3 2
#> 8 0 0 0 0 0 0 0 0 0
#> 9 0 0 48 14 0 59 0 8 1
#> 10 0 0 0 0 70 70 2 26 1
#> 11 0 0 0 0 0 0 0 0 0
#> 12 0 0 0 0 0 0 0 0 0
#> 13 0 0 0 0 0 0 0 0 0
#> 14 17 15 0 0 0 0 0 2 7
#> 15 0 159 0 0 0 0 1 1 1
#> 16 0 0 0 0 0 0 0 0 0
#> 17 0 0 64 1 6 69 9 13 0
#> 18 0 0 0 0 0 0 0 20 0
#> 19 0 0 0 0 0 0 1 3 0
#> 20 0 0 0 0 0 0 0 0 0
#> 21 126 1 0 0 0 0 0 0 0
#> 22 0 0 0 0 0 0 0 0 0
#> 23 6 0 0 0 0 0 1 1 1
#> 24 0 0 43 4 0 46 0 0 10
#> 25 0 0 0 0 0 0 2 0 6
#> 26 0 0 0 0 0 0 10 50 1
#> 27 0 0 0 0 0 0 0 0 0
#> 28 0 0 7 0 0 7 1 3 4
#> 29 0 0 0 0 0 0 0 0 0
#> 30 0 0 0 0 0 0 0 0 0
#> 31 0 0 0 0 0 0 0 0 0
#> 32 0 0 0 0 0 0 0 0 0
#> 33 0 0 0 0 0 0 0 0 0
#> 34 0 0 0 0 0 0 0 0 0
#> 35 36 0 43 0 0 43 1 8 4
#> 36 0 0 0 0 0 0 144 0 0
#> 37 0 0 0 0 0 0 0 0 0
#> 38 0 0 16 0 124 130 0 15 0
#> 39 0 0 0 0 0 0 0 0 0
#> 40 0 0 0 0 0 0 1 12 0
# Pete Rose's primary position each year of his career
Appearances %>%
filter(playerID == "rosepe01") %>%
group_by(yearID, teamID) %>%
gather(pos, G, G_1b:G_rf) %>%
filter(G == max(G)) %>%
select(yearID:G_all, pos, G) %>%
mutate(pos = substring(as.character(pos), 3, 4)) %>%
arrange(yearID, teamID)
#> # A tibble: 25 × 7
#> # Groups: yearID, teamID [25]
#> yearID teamID lgID playerID G_all pos G
#> <int> <fct> <fct> <chr> <int> <chr> <int>
#> 1 1963 CIN NL rosepe01 157 2b 157
#> 2 1964 CIN NL rosepe01 136 2b 128
#> 3 1965 CIN NL rosepe01 162 2b 161
#> 4 1966 CIN NL rosepe01 156 2b 140
#> 5 1967 CIN NL rosepe01 148 lf 124
#> 6 1968 CIN NL rosepe01 149 rf 142
#> 7 1969 CIN NL rosepe01 156 rf 101
#> 8 1970 CIN NL rosepe01 159 rf 155
#> 9 1971 CIN NL rosepe01 160 rf 156
#> 10 1972 CIN NL rosepe01 154 lf 154
#> # ℹ 15 more rows
# Most pitcher appearances each year since 1950
Appearances %>%
filter(yearID >= 1950) %>%
group_by(yearID) %>%
summarise(maxPitcher = playerID[which.max(G_p)],
maxAppear = max(G_p))
#> # A tibble: 74 × 3
#> yearID maxPitcher maxAppear
#> <int> <chr> <int>
#> 1 1950 konstji01 74
#> 2 1951 kindeel01 63
#> 3 1952 wilheho01 71
#> 4 1953 kindeel01 69
#> 5 1954 hugheji02 60
#> 6 1955 labincl01 60
#> 7 1956 facero01 68
#> 8 1957 lowntu01 67
#> 9 1958 elstodo01 69
#> 10 1959 stalege01 67
#> # ℹ 64 more rows
# Individuals who have played all 162 games since 1961
all162 <- Appearances %>%
filter(yearID > 1960 & G_all == 162) %>%
arrange(yearID, playerID) %>%
select(yearID:G_all)
# Number of all-gamers by year (returns a vector)
table(all162$yearID)
#>
#> 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1973 1974 1975 1976 1977
#> 2 6 3 9 5 5 1 3 5 2 2 6 4 3 2 4
#> 1978 1979 1980 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1996
#> 4 8 7 8 4 5 4 5 2 2 5 2 3 4 2 3
#> 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
#> 6 4 5 5 7 6 5 3 10 6 7 4 1 2 1 3
#> 2013 2014 2015 2016 2017 2018 2019 2021 2022 2023
#> 4 4 1 3 5 6 5 2 2 4
# Players with most pinch hitting appearances in a year
Appearances %>%
arrange(desc(G_ph)) %>%
select(playerID, yearID, teamID, lgID, G_all, G_ph) %>%
head(., 10)
#> playerID yearID teamID lgID G_all G_ph
#> 1 suzukic01 2017 MIA NL 136 109
#> 2 harrile01 2001 NYN NL 110 95
#> 3 staubru01 1983 NYN NL 104 94
#> 4 sweenma01 2008 LAN NL 98 94
#> 5 vandejo02 1995 COL NL 105 92
#> 6 francma01 2003 ATL NL 112 92
#> 7 nortogr01 2009 ATL NL 95 91
#> 8 lasteto01 2018 CHN NL 123 91
#> 9 perryge01 1993 SLN NL 96 88
#> 10 francma01 1999 NYN NL 122 88
# Players with most pinch hitting appearances, career
Appearances %>%
group_by(playerID) %>%
select(playerID, G_all, G_ph) %>%
summarise(G = sum(G_all), PH = sum(G_ph)) %>%
arrange(desc(PH)) %>%
head(., 10)
#> # A tibble: 10 × 3
#> playerID G PH
#> <chr> <int> <int>
#> 1 harrile01 1903 927
#> 2 sweenma01 1218 819
#> 3 hanseda01 1230 768
#> 4 grossgr01 1809 748
#> 5 vandejo02 1372 659
#> 6 burgesm01 1692 606
#> 7 motama01 1536 597
#> 8 palmeor01 1206 538
#> 9 dwyerji01 1328 524
#> 10 brownga01 1051 522
# Players with most career appearances at each position
Appearances %>%
select(playerID, G_c:G_rf) %>%
rename(C = G_c, `1B` = G_1b, `2B` = G_2b, SS = G_ss,
`3B` = G_3b, LF = G_lf, CF = G_cf, RF = G_rf) %>%
gather(pos, G, C:RF) %>%
group_by(pos, playerID) %>%
summarise(G = sum(G)) %>%
arrange(desc(G)) %>%
do(head(., 1))
#> `summarise()` has grouped output by 'pos'. You can override using the `.groups`
#> argument.
#> # A tibble: 8 × 3
#> # Groups: pos [8]
#> pos playerID G
#> <chr> <chr> <int>
#> 1 1B murraed02 2413
#> 2 2B collied01 2648
#> 3 3B robinbr01 2870
#> 4 C rodriiv01 2427
#> 5 CF mayswi01 2829
#> 6 LF bondsba01 2715
#> 7 RF clemero01 2305
#> 8 SS vizquom01 2709