Редактирование значения строки в R - PullRequest
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Редактирование значения строки в R

2 голосов
/ 20 июня 2020

У меня есть фрейм данных, который выглядит следующим образом 

Pick   Name     Team Round           Player Position Position..
1    1   Javi   Texans     1 Patrick Mahomes        QB        QB1
2    2 Justin   Chiefs     1  Russell Wilson        QB        QB2
3    3  Blake   Titans     1   Lamar Jackson        QB        QB3
4    4 Connor Dolphins     1   Deshaun Watson       QB        QB4
5    5  Isaac  Jaguars     1     Carson Wentz       QB        QB5
6    6   Fitz     Rams     1     Dak Prescott       QB        QB6

с большим количеством строк, конечно, и некоторые строки в Player, Position и Position ... Столбцы пусты, потому что они не были составлен еще. Есть ли способ просто вручную вставить имена, позиции, позиции ... только что выбранных игроков.

Я пробовал 

Redraft[112, "Player"] <- "Calvin Ridley"; Redraft

Так как пустые ячейки начинаются со строки 112, но получилось просто N / A

Когда я это делаю, я также получаю сообщение об ошибке сообщение: 

Warning message:
In `[<-.factor`(`*tmp*`, iseq, value = "Calvin Ridley") :
  invalid factor level, NA generated

и фрейм данных выглядит как 

08  108    Jack    Packers     4   TE3       Darren Waller       TE
109  109  Justin     Saints     4   LT6        Taylor Lewan       LT
110  110     Sam   Steelers     4   FS5         Kevin Byard       FS
111  111  Jeremy    Falcons     4   LB7      Isaiah Simmons       LB
112  112    Will      Bills     4     1                <NA>         
113  113  Jeremy      Colts     4     1

И вот весь фрейм данных: 

structure(list(Pick = 1:384, Name = structure(c(12L, 14L, 1L, 
2L, 7L, 5L, 8L, 6L, 9L, 12L, 9L, 2L, 10L, 16L, 11L, 13L, 20L, 
13L, 17L, 14L, 8L, 3L, 3L, 19L, 5L, 19L, 7L, 1L, 6L, 4L, 18L, 
15L, 15L, 18L, 4L, 6L, 1L, 7L, 19L, 5L, 19L, 3L, 3L, 8L, 14L, 
17L, 13L, 20L, 13L, 11L, 16L, 10L, 2L, 9L, 12L, 9L, 6L, 8L, 5L, 
7L, 2L, 1L, 14L, 12L, 12L, 14L, 1L, 2L, 7L, 5L, 8L, 6L, 9L, 12L, 
9L, 2L, 10L, 16L, 11L, 13L, 20L, 13L, 17L, 14L, 8L, 3L, 3L, 19L, 
5L, 19L, 7L, 1L, 6L, 4L, 18L, 15L, 15L, 18L, 4L, 6L, 1L, 7L, 
19L, 5L, 19L, 3L, 3L, 8L, 14L, 17L, 13L, 20L, 13L, 11L, 16L, 
10L, 2L, 9L, 12L, 9L, 6L, 8L, 5L, 7L, 2L, 1L, 14L, 12L, 12L, 
14L, 1L, 2L, 7L, 5L, 8L, 6L, 9L, 12L, 9L, 2L, 10L, 16L, 11L, 
13L, 20L, 13L, 17L, 14L, 8L, 3L, 3L, 19L, 5L, 19L, 7L, 1L, 6L, 
4L, 18L, 15L, 15L, 18L, 4L, 6L, 1L, 7L, 19L, 5L, 19L, 3L, 3L, 
8L, 14L, 17L, 13L, 20L, 13L, 11L, 16L, 10L, 2L, 9L, 12L, 9L, 
6L, 8L, 5L, 7L, 2L, 1L, 14L, 12L, 12L, 14L, 1L, 2L, 7L, 5L, 8L, 
6L, 9L, 12L, 9L, 2L, 10L, 16L, 11L, 13L, 20L, 13L, 17L, 14L, 
8L, 3L, 3L, 19L, 5L, 19L, 7L, 1L, 6L, 4L, 18L, 15L, 15L, 18L, 
4L, 6L, 1L, 7L, 19L, 5L, 19L, 3L, 3L, 8L, 14L, 17L, 13L, 20L, 
13L, 11L, 16L, 10L, 2L, 9L, 12L, 9L, 6L, 8L, 5L, 7L, 2L, 1L, 
14L, 12L, 12L, 14L, 1L, 2L, 7L, 5L, 8L, 6L, 9L, 12L, 9L, 2L, 
10L, 16L, 11L, 13L, 20L, 13L, 17L, 14L, 8L, 3L, 3L, 19L, 5L, 
19L, 7L, 1L, 6L, 4L, 18L, 15L, 15L, 18L, 4L, 6L, 1L, 7L, 19L, 
5L, 19L, 3L, 3L, 8L, 14L, 17L, 13L, 20L, 13L, 11L, 16L, 10L, 
2L, 9L, 12L, 9L, 6L, 8L, 5L, 7L, 2L, 1L, 14L, 12L, 12L, 14L, 
1L, 2L, 7L, 5L, 8L, 6L, 9L, 12L, 9L, 2L, 10L, 16L, 11L, 13L, 
20L, 13L, 17L, 14L, 8L, 3L, 3L, 19L, 5L, 19L, 7L, 1L, 6L, 4L, 
18L, 15L, 15L, 18L, 4L, 6L, 1L, 7L, 19L, 5L, 19L, 3L, 3L, 8L, 
14L, 17L, 13L, 20L, 13L, 11L, 16L, 10L, 2L, 9L, 12L, 9L, 6L, 
8L, 5L, 7L, 2L, 1L, 14L, 12L), .Label = c("Blake", "Connor", 
"Dakota", "FFB", "Fitz", "Haydon", "Isaac", "Jack", "Jackson", 
"Jacob", "Jacob H", "Javi", "Jeremy", "Justin", "Nick", "Pete", 
"Sam", "Simon", "Tucker", "Will"), class = "factor"), Team = structure(c(30L, 
10L, 31L, 13L, 17L, 24L, 18L, 6L, 3L, 8L, 7L, 28L, 9L, 21L, 14L, 
11L, 4L, 15L, 29L, 27L, 20L, 1L, 25L, 5L, 23L, 26L, 32L, 19L, 
12L, 16L, 22L, 2L, 2L, 22L, 16L, 12L, 19L, 32L, 26L, 23L, 5L, 
25L, 1L, 20L, 27L, 29L, 15L, 4L, 11L, 14L, 21L, 9L, 28L, 7L, 
8L, 3L, 6L, 18L, 24L, 17L, 13L, 31L, 10L, 30L, 30L, 10L, 31L, 
13L, 17L, 24L, 18L, 6L, 3L, 8L, 7L, 28L, 9L, 21L, 14L, 11L, 4L, 
15L, 29L, 27L, 20L, 1L, 25L, 5L, 23L, 26L, 32L, 19L, 12L, 16L, 
22L, 2L, 2L, 22L, 16L, 12L, 19L, 32L, 26L, 23L, 5L, 25L, 1L, 
20L, 27L, 29L, 15L, 4L, 11L, 14L, 21L, 9L, 28L, 7L, 8L, 3L, 6L, 
18L, 24L, 17L, 13L, 31L, 10L, 30L, 30L, 10L, 31L, 13L, 17L, 24L, 
18L, 6L, 3L, 8L, 7L, 28L, 9L, 21L, 14L, 11L, 4L, 15L, 29L, 27L, 
20L, 1L, 25L, 5L, 23L, 26L, 32L, 19L, 12L, 16L, 22L, 2L, 2L, 
22L, 16L, 12L, 19L, 32L, 26L, 23L, 5L, 25L, 1L, 20L, 27L, 29L, 
15L, 4L, 11L, 14L, 21L, 9L, 28L, 7L, 8L, 3L, 6L, 18L, 24L, 17L, 
13L, 31L, 10L, 30L, 30L, 10L, 31L, 13L, 17L, 24L, 18L, 6L, 3L, 
8L, 7L, 28L, 9L, 21L, 14L, 11L, 4L, 15L, 29L, 27L, 20L, 1L, 25L, 
5L, 23L, 26L, 32L, 19L, 12L, 16L, 22L, 2L, 2L, 22L, 16L, 12L, 
19L, 32L, 26L, 23L, 5L, 25L, 1L, 20L, 27L, 29L, 15L, 4L, 11L, 
14L, 21L, 9L, 28L, 7L, 8L, 3L, 6L, 18L, 24L, 17L, 13L, 31L, 10L, 
30L, 30L, 10L, 31L, 13L, 17L, 24L, 18L, 6L, 3L, 8L, 7L, 28L, 
9L, 21L, 14L, 11L, 4L, 15L, 29L, 27L, 20L, 1L, 25L, 5L, 23L, 
26L, 32L, 19L, 12L, 16L, 22L, 2L, 2L, 22L, 16L, 12L, 19L, 32L, 
26L, 23L, 5L, 25L, 1L, 20L, 27L, 29L, 15L, 4L, 11L, 14L, 21L, 
9L, 28L, 7L, 8L, 3L, 6L, 18L, 24L, 17L, 13L, 31L, 10L, 30L, 30L, 
10L, 31L, 13L, 17L, 24L, 18L, 6L, 3L, 8L, 7L, 28L, 9L, 21L, 14L, 
11L, 4L, 15L, 29L, 27L, 20L, 1L, 25L, 5L, 23L, 26L, 32L, 19L, 
12L, 16L, 22L, 2L, 2L, 22L, 16L, 12L, 19L, 32L, 26L, 23L, 5L, 
25L, 1L, 20L, 27L, 29L, 15L, 4L, 11L, 14L, 21L, 9L, 28L, 7L, 
8L, 3L, 6L, 18L, 24L, 17L, 13L, 31L, 10L, 30L), .Label = c("49ers", 
"Bears", "Bengals", "Bills", "Broncos", "Browns", "Buccaneers", 
"Cardinals", "Chargers", "Chiefs", "Colts", "Cowboys", "Dolphins", 
"Eagles", "Falcons", "Giants", "Jaguars", "Jets", "Lions", "Packers", 
"Panthers", "Patriots", "Raiders", "Rams", "Ravens", "Redskins", 
"Saints", "Seahawks", "Steelers", "Texans", "Titans", "Vikings"
), class = "factor"), Round = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 
8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 
8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 
12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 
12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L), 
    Pos.. = structure(c(49L, 60L, 70L, 71L, 72L, 73L, 74L, 75L, 
    27L, 76L, 43L, 50L, 51L, 92L, 52L, 53L, 54L, 55L, 77L, 56L, 
    57L, 58L, 89L, 59L, 85L, 61L, 103L, 3L, 106L, 35L, 62L, 36L, 
    63L, 42L, 10L, 107L, 18L, 64L, 108L, 65L, 109L, 19L, 11L, 
    110L, 86L, 37L, 111L, 12L, 20L, 112L, 66L, 21L, 38L, 13L, 
    90L, 78L, 81L, 30L, 14L, 15L, 82L, 39L, 16L, 17L, 93L, 94L, 
    4L, 22L, 95L, 96L, 2L, 97L, 67L, 5L, 68L, 87L, 83L, 84L, 
    6L, 31L, 44L, 98L, 99L, 100L, 7L, 28L, 101L, 32L, 29L, 8L, 
    33L, 88L, 69L, 79L, 102L, 9L, 104L, 40L, 23L, 24L, 105L, 
    25L, 45L, 80L, 46L, 26L, 47L, 91L, 48L, 34L, 41L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L), .Label = c("1", "C1", "CB1", "CB10", "CB11", "CB12", 
    "CB13", "CB14", "CB15", "CB2", "CB3", "CB4", "CB5", "CB6", 
    "CB7", "CB8", "CB9", "DE1", "DE2", "DE3", "DE4", "DE5", "DE6", 
    "DE7", "DE8", "DE9", "DT1", "DT2", "DT3", "FS1", "FS2", "FS3", 
    "FS4", "FS5", "LB1", "LB2", "LB3", "LB4", "LB5", "LB6", "LB7", 
    "LG1", "LT1", "LT2", "LT3", "LT4", "LT5", "LT6", "QB1", "QB10", 
    "QB11", "QB12", "QB13", "QB14", "QB15", "QB16", "QB17", "QB18", 
    "QB19", "QB2", "QB20", "QB21", "QB22", "QB23", "QB24", "QB25", 
    "QB26", "QB27", "QB28", "QB3", "QB4", "QB5", "QB6", "QB7", 
    "QB8", "QB9", "RB1", "RB2", "RB3", "RB4", "RG1", "RT1", "RT2", 
    "RT3", "SS1", "SS2", "SS3", "SS4", "TE1", "TE2", "TE3", "WR1", 
    "WR10", "WR11", "WR12", "WR13", "WR14", "WR15", "WR16", "WR17", 
    "WR18", "WR19", "WR2", "WR20", "WR21", "WR3", "WR4", "WR5", 
    "WR6", "WR7", "WR8", "WR9"), class = "factor"), Player = structure(c(87L, 
    91L, 72L, 38L, 14L, 24L, 79L, 78L, 3L, 57L, 90L, 70L, 107L, 
    31L, 39L, 10L, 56L, 68L, 20L, 4L, 94L, 93L, 45L, 52L, 51L, 
    44L, 80L, 97L, 62L, 67L, 40L, 98L, 101L, 89L, 50L, 9L, 85L, 
    104L, 19L, 41L, 109L, 58L, 106L, 81L, 37L, 26L, 29L, 27L, 
    18L, 86L, 60L, 84L, 17L, 74L, 105L, 95L, 111L, 63L, 76L, 
    55L, 92L, 110L, 12L, 15L, 64L, 96L, 34L, 25L, 61L, 103L, 
    54L, 21L, 53L, 49L, 59L, 108L, 71L, 83L, 77L, 82L, 102L, 
    7L, 65L, 2L, 69L, 32L, 22L, 75L, 43L, 5L, 8L, 46L, 35L, 42L, 
    23L, 88L, 6L, 11L, 60L, 48L, 16L, 13L, 30L, 36L, 73L, 33L, 
    99L, 28L, 100L, 66L, 47L, NA, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("", "A.J. Brown", 
    "Aaron Donald", "Aaron Rodgers", "Adoree' Jackson", "Allen Robinson", 
    "Amari Cooper", "Anthony Harris", "Antonio Brown", "Baker Mayfield", 
    "Bobby Wagner", "Byron Jones ", "Cameron Jordan", "Carson Wentz", 
    "Casey Hayward", "CeDee Lamb", "Chandler Jones", "Chase Young", 
    "Chris Godwin", "Christian McCaffrey", "Cooper Kupp", "Courtland Sutton", 
    "D.J. Moore", "Dak Prescott", "Danielle Hunter", "Darius Leonard", 
    "Darius Slay", "Darren Waller", "DaVante Adams", "David Bakhtiari", 
    "DeAndre Hopkins", "Deforest Buckner", "Demarcus Lawrence", 
    "Denzel Ward", "Derek Carr", "Derrick Henry", "Derwin James", 
    "Deshaun Watson", "Drew Brees", "Drew Lock", "Dwayne Haskins", 
    "Ezekiel Elliott", "Fletcher Cox", "Gardner Minshew", "George Kittle", 
    "Harrison Smith", "Isaiah Simmons", "J.J. Watt", "Jaire Alexander", 
    "Jalen Ramsey", "Jamal Adams", "Jared Goff", "Jarrett Stidham", 
    "Jason Kelce", "Jeffrey Okudah", "Jimmy Garappolo", "Joe Burrow", 
    "Joey Bosa", "Jordan Love", "Josh Allen", "Juju Smith-Schuster", 
    "Julio Jones", "Justin Simmons", "Keenan Allen", "Kenny Golladay", 
    "Kevin Byard", "Khalil Mack", "Kirk Cousins", "Kyle Fuller", 
    "Kyler Murray ", "La'el Collins", "Lamar Jackson ", "Laremy Tunsil", 
    "Marcus Peters", "Marcus Williams", "Marlon Humphrey", "Marshon Lattimore", 
    "Matt Ryan", "Matthew Stafford", "Michael Thomas", "Mike Evans", 
    "Minkah Fitzpatrick", "Mitchell Schwartz ", "Myles Garrett", 
    "Nick Bosa", "Odell Beckham Jr.", "Patrick Mahomes ", "Patrick Peterson", 
    "Quenton Nelson", "Ronnie Stanley", "Russell Wilson ", "Ryan Ramczyk", 
    "Ryan Tannehill", "Sam Darnold", "Saquon Barkley", "Stefon Diggs", 
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Ответы [ 2 ]

1 голос
/ 20 июня 2020

ответ jay.sf, конечно, правильный, но я бы добавил свои 2, поскольку я думаю, что он упускает из виду.

Причина, по которой у вас есть факторы вместо простых строк, в первую очередь, это своего рода историческая случайность, когда R является статистическим языком. На практике вы редко хотите иметь дело с факторами в фрейме данных такого типа. Вероятно, вы хотите, чтобы имена ваших игроков были простыми старыми строками.

Обычно, когда вы читаете фрейм данных из файла, например, через read.csv, у вас есть возможность передать аргумент stringsAsFactors = TRUE, чтобы гарантировать, что строки хранятся как строки, а не преобразуются в коэффициенты. Некоторые люди (например, этот парень ) настолько категорически против этого причудливого поведения по умолчанию, что включают строку в свой .Rprofile, чтобы импортировать данные с stringsAsFactors=T по умолчанию. (но это опасно для написания кода, который одинаково работает для пользователей с разными инициализациями .Rprofile!)

Если у вас уже есть набор данных, вы можете вместо этого преобразовать ваши коэффициенты в строки: 

df[ , 'Player'] <- as.character( df[ , 'Player' ] )

Теперь вы можете продолжить анализ, не беспокоясь о факторах и их неприятностях.

Например, установить новое имя так же просто, как и следовало ожидать: 

df[112,'Player'] <- 'Calvin Ridley'
1 голос
/ 20 июня 2020

Вы имеете дело с факторным столбцом. "Calvin Ridley" еще не уровень фактора. После добавления вы можете переименовать ячейку. 

class(Redraft$Player)
# [1] "factor"

levels(Redraft$Player) <- c(levels(Redraft$Player), "Calvin Ridley")
Redraft[112, "Player"] <- "Calvin Ridley"
Redraft[112, "Player"]
# [1] Calvin Ridley
# 112 Levels:  A.J. Brown Aaron Donald Aaron Rodgers Adoree' Jackson Allen Robinson ... Calvin Ridley
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