Есть ли способ зациклить подмножество большого набора данных? - PullRequest
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Есть ли способ зациклить подмножество большого набора данных?

0 голосов
/ 19 февраля 2019

Я пытаюсь разделить довольно большой набор данных (530 строк, 211 столбцов) на 2 подмножества из 46 строк, 21 из 20 строк, 1 из 16 строк и 1 из 2 строк, используя 'R'.Вместо того, чтобы копировать код несколько раз, я хотел бы сделать цикл для этого.Кроме того, при поднаборе я хочу удалить первые 3 столбца в подмножестве.

Для поднабора я использую этот код: 

Dataveg2018A <- subset(DatasetMerg, Year == "2018" & Block == "A",
                                      Select= 4:7)

Поскольку я не хочу делать другой коддля каждого подмножества я хочу использовать цикл, но я не могу понять, как это кодировать.

У меня есть три разные категории "год", и для каждого года у меня есть блоки A: J.Я хочу разбить весь набор данных на блоки в год и использовать для этого цикл.

Ниже я разместил код (используя функцию dput) для небольшой части набора данных.Извините, что я все еще делаю это утомительно большим, но я не мог понять, как сжать его.

Итак, мне нужен код, который повторяет указанную выше команду подмножества для каждого блока в год, в результате чего получается всего 25 подмножеств.В приведенном ниже сжатом наборе данных должно получиться 3 подмножества (1 2018 блок A, один 2008 блок A и один 2001 блок A.

Надеюсь, я достаточно ясен. 

structure(list(Year = structure(c(`18A01` = 3L, `18A02` = 3L, 
`18A03` = 3L, `18A04` = 3L, `18A05` = 3L, `18A06` = 3L, `18A07` = 3L, 
`18A08` = 3L, `18A09` = 3L, `18A10` = 3L, `18A11` = 3L, `18A12` = 3L, 
`18A13` = 3L, `18A14` = 3L, `18A15` = 3L, `18A16` = 3L, `18A17` = 3L, 
`18A18` = 3L, `18A19` = 3L, `18A20` = 3L, `08A01` = 2L, `08A02` = 2L, 
`08A03` = 2L, `08A04` = 2L, `08A05` = 2L, `08A06` = 2L, `08A07` = 2L, 
`08A08` = 2L, `08A09` = 2L, `08A10` = 2L, `08A11` = 2L, `08A12` = 2L, 
`08A13` = 2L, `08A14` = 2L, `08A15` = 2L, `08A16` = 2L, `08A17` = 2L, 
`08A18` = 2L, `08A19` = 2L, `08A20` = 2L, `01A01` = 1L, `01A02` = 1L, 
`01A03` = 1L, `01A04` = 1L, `01A05` = 1L, `01A06` = 1L, `01A07` = 1L, 
`01A08` = 1L, `01A09` = 1L, `01A10` = 1L, `01A11` = 1L, `01A12` = 1L, 
`01A13` = 1L, `01A14` = 1L, `01A15` = 1L, `01A16` = 1L, `01A17` = 1L, 
`01A18` = 1L, `01A19` = 1L, `01A20` = 1L), .Label = c("2001", 
"2008", "2018"), class = "factor"), Block = structure(c(`18A01` = 1L, 
`18A02` = 1L, `18A03` = 1L, `18A04` = 1L, `18A05` = 1L, `18A06` = 1L, 
`18A07` = 1L, `18A08` = 1L, `18A09` = 1L, `18A10` = 1L, `18A11` = 1L, 
`18A12` = 1L, `18A13` = 1L, `18A14` = 1L, `18A15` = 1L, `18A16` = 1L, 
`18A17` = 1L, `18A18` = 1L, `18A19` = 1L, `18A20` = 1L, `08A01` = 1L, 
`08A02` = 1L, `08A03` = 1L, `08A04` = 1L, `08A05` = 1L, `08A06` = 1L, 
`08A07` = 1L, `08A08` = 1L, `08A09` = 1L, `08A10` = 1L, `08A11` = 1L, 
`08A12` = 1L, `08A13` = 1L, `08A14` = 1L, `08A15` = 1L, `08A16` = 1L, 
`08A17` = 1L, `08A18` = 1L, `08A19` = 1L, `08A20` = 1L, `01A01` = 1L, 
`01A02` = 1L, `01A03` = 1L, `01A04` = 1L, `01A05` = 1L, `01A06` = 1L, 
`01A07` = 1L, `01A08` = 1L, `01A09` = 1L, `01A10` = 1L, `01A11` = 1L, 
`01A12` = 1L, `01A13` = 1L, `01A14` = 1L, `01A15` = 1L, `01A16` = 1L, 
`01A17` = 1L, `01A18` = 1L, `01A19` = 1L, `01A20` = 1L), .Label = c("A", 
"B", "C", "D", "E", "F", "G", "H", "I", "J", "X"), class = "factor"), 
Plot = structure(c(`18A01` = 1L, `18A02` = 2L, `18A03` = 3L, 
`18A04` = 4L, `18A05` = 5L, `18A06` = 6L, `18A07` = 7L, `18A08` = 8L, 
`18A09` = 9L, `18A10` = 10L, `18A11` = 11L, `18A12` = 12L, 
`18A13` = 13L, `18A14` = 14L, `18A15` = 15L, `18A16` = 16L, 
`18A17` = 17L, `18A18` = 18L, `18A19` = 19L, `18A20` = 20L, 
`08A01` = 1L, `08A02` = 2L, `08A03` = 3L, `08A04` = 4L, `08A05` = 5L, 
`08A06` = 6L, `08A07` = 7L, `08A08` = 8L, `08A09` = 9L, `08A10` = 10L, 
`08A11` = 11L, `08A12` = 12L, `08A13` = 13L, `08A14` = 14L, 
`08A15` = 15L, `08A16` = 16L, `08A17` = 17L, `08A18` = 18L, 
`08A19` = 19L, `08A20` = 20L, `01A01` = 1L, `01A02` = 2L, 
`01A03` = 3L, `01A04` = 4L, `01A05` = 5L, `01A06` = 6L, `01A07` = 7L, 
`01A08` = 8L, `01A09` = 9L, `01A10` = 10L, `01A11` = 11L, 
`01A12` = 12L, `01A13` = 13L, `01A14` = 14L, `01A15` = 15L, 
`01A16` = 16L, `01A17` = 17L, `01A18` = 18L, `01A19` = 19L, 
`01A20` = 20L), .Label = c(" 1", " 2", " 3", " 4", " 5", 
" 6", " 7", " 8", " 9", "10", "11", "12", "13", "14", "15", 
"16", "17", "18", "19", "20", "21", "22", "23", "24", "25", 
"26", "27", "28", "29", "30", "31", "32", "33", "34", "35", 
"36", "37", "38", "39", "40", "41", "42", "43", "44", "45", 
"46"), class = "factor"), Agrimonia.eupatoria = structure(c(`18A01` = 3L, 
`18A02` = 2L, `18A03` = 1L, `18A04` = 1L, `18A05` = 1L, `18A06` = 1L, 
`18A07` = 1L, `18A08` = 1L, `18A09` = 1L, `18A10` = 1L, `18A11` = 1L, 
`18A12` = 1L, `18A13` = 1L, `18A14` = 1L, `18A15` = 1L, `18A16` = 1L, 
`18A17` = 1L, `18A18` = 1L, `18A19` = 1L, `18A20` = 1L, `08A01` = 1L, 
`08A02` = 1L, `08A03` = 1L, `08A04` = 1L, `08A05` = 1L, `08A06` = 1L, 
`08A07` = 1L, `08A08` = 1L, `08A09` = 1L, `08A10` = 1L, `08A11` = 1L, 
`08A12` = 1L, `08A13` = 1L, `08A14` = 1L, `08A15` = 1L, `08A16` = 1L, 
`08A17` = 1L, `08A18` = 1L, `08A19` = 1L, `08A20` = 1L, `01A01` = 3L, 
`01A02` = 1L, `01A03` = 1L, `01A04` = 1L, `01A05` = 1L, `01A06` = 1L, 
`01A07` = 1L, `01A08` = 1L, `01A09` = 1L, `01A10` = 1L, `01A11` = 1L, 
`01A12` = 1L, `01A13` = 1L, `01A14` = 1L, `01A15` = 1L, `01A16` = 1L, 
`01A17` = 1L, `01A18` = 1L, `01A19` = 1L, `01A20` = 1L), .Label = c("0", 
"1", "2", "6"), class = "factor"), Agrostis.capillaris = structure(c(`18A01` 
= 1L, 
`18A02` = 1L, `18A03` = 1L, `18A04` = 1L, `18A05` = 1L, `18A06` = 1L, 
`18A07` = 1L, `18A08` = 1L, `18A09` = 1L, `18A10` = 1L, `18A11` = 1L, 
`18A12` = 1L, `18A13` = 1L, `18A14` = 1L, `18A15` = 1L, `18A16` = 1L, 
`18A17` = 1L, `18A18` = 1L, `18A19` = 1L, `18A20` = 1L, `08A01` = 1L, 
`08A02` = 1L, `08A03` = 1L, `08A04` = 1L, `08A05` = 1L, `08A06` = 1L, 
`08A07` = 1L, `08A08` = 1L, `08A09` = 1L, `08A10` = 1L, `08A11` = 1L, 
`08A12` = 1L, `08A13` = 1L, `08A14` = 1L, `08A15` = 1L, `08A16` = 1L, 
`08A17` = 1L, `08A18` = 1L, `08A19` = 1L, `08A20` = 1L, `01A01` = 1L, 
`01A02` = 1L, `01A03` = 1L, `01A04` = 1L, `01A05` = 1L, `01A06` = 1L, 
`01A07` = 1L, `01A08` = 1L, `01A09` = 1L, `01A10` = 1L, `01A11` = 1L, 
`01A12` = 1L, `01A13` = 1L, `01A14` = 1L, `01A15` = 1L, `01A16` = 1L, 
`01A17` = 1L, `01A18` = 1L, `01A19` = 1L, `01A20` = 1L), .Label = c("0", 
"2", "3", "4", "6"), class = "factor"), Agrostis.gigantea = 
structure(c(`18A01` = 1L, 
`18A02` = 1L, `18A03` = 1L, `18A04` = 1L, `18A05` = 1L, `18A06` = 1L, 
`18A07` = 1L, `18A08` = 1L, `18A09` = 1L, `18A10` = 1L, `18A11` = 2L, 
`18A12` = 3L, `18A13` = 2L, `18A14` = 1L, `18A15` = 3L, `18A16` = 3L, 
`18A17` = 4L, `18A18` = 3L, `18A19` = 1L, `18A20` = 1L, `08A01` = 1L, 
`08A02` = 1L, `08A03` = 1L, `08A04` = 1L, `08A05` = 1L, `08A06` = 1L, 
`08A07` = 1L, `08A08` = 1L, `08A09` = 1L, `08A10` = 1L, `08A11` = 1L, 
`08A12` = 1L, `08A13` = 1L, `08A14` = 1L, `08A15` = 1L, `08A16` = 1L, 
`08A17` = 1L, `08A18` = 1L, `08A19` = 1L, `08A20` = 1L, `01A01` = 1L, 
`01A02` = 1L, `01A03` = 1L, `01A04` = 1L, `01A05` = 1L, `01A06` = 1L, 
`01A07` = 1L, `01A08` = 1L, `01A09` = 1L, `01A10` = 1L, `01A11` = 1L, 
`01A12` = 1L, `01A13` = 1L, `01A14` = 1L, `01A15` = 1L, `01A16` = 1L, 
`01A17` = 1L, `01A18` = 1L, `01A19` = 1L, `01A20` = 1L), .Label = c("0", 
"2", "3", "4", "6"), class = "factor"), Agrostis.stolonifera = 
structure(c(`18A01` = 5L, 
`18A02` = 1L, `18A03` = 1L, `18A04` = 1L, `18A05` = 1L, `18A06` = 1L, 
`18A07` = 1L, `18A08` = 1L, `18A09` = 1L, `18A10` = 1L, `18A11` = 1L, 
`18A12` = 1L, `18A13` = 1L, `18A14` = 1L, `18A15` = 1L, `18A16` = 1L, 
`18A17` = 1L, `18A18` = 1L, `18A19` = 1L, `18A20` = 1L, `08A01` = 5L, 
`08A02` = 1L, `08A03` = 1L, `08A04` = 1L, `08A05` = 1L, `08A06` = 1L, 
`08A07` = 1L, `08A08` = 1L, `08A09` = 1L, `08A10` = 1L, `08A11` = 1L, 
`08A12` = 1L, `08A13` = 5L, `08A14` = 1L, `08A15` = 1L, `08A16` = 1L, 
`08A17` = 1L, `08A18` = 1L, `08A19` = 1L, `08A20` = 1L, `01A01` = 1L, 
`01A02` = 1L, `01A03` = 1L, `01A04` = 1L, `01A05` = 1L, `01A06` = 1L, 
`01A07` = 1L, `01A08` = 1L, `01A09` = 1L, `01A10` = 1L, `01A11` = 1L, 
`01A12` = 1L, `01A13` = 1L, `01A14` = 1L, `01A15` = 1L, `01A16` = 1L, 
`01A17` = 1L, `01A18` = 1L, `01A19` = 1L, `01A20` = 1L), .Label = c("0", 
"1", "18", "2", "3", "38", "4", "6", "68", "8"), class = "factor")), 
row.names = c("18A01", 
"18A02", "18A03", "18A04", "18A05", "18A06", "18A07", "18A08", 
"18A09", "18A10", "18A11", "18A12", "18A13", "18A14", "18A15", 
"18A16", "18A17", "18A18", "18A19", "18A20", "08A01", "08A02", 
"08A03", "08A04", "08A05", "08A06", "08A07", "08A08", "08A09", 
"08A10", "08A11", "08A12", "08A13", "08A14", "08A15", "08A16", 
"08A17", "08A18", "08A19", "08A20", "01A01", "01A02", "01A03", 
"01A04", "01A05", "01A06", "01A07", "01A08", "01A09", "01A10", 
"01A11", "01A12", "01A13", "01A14", "01A15", "01A16", "01A17", 
"01A18", "01A19", "01A20"), class = "data.frame")

1 Ответ

0 голосов
/ 20 февраля 2019

Нечто подобное может получить то, что вы ищете.Он будет запускать подмножество для каждого года и блока и сохранять результаты в именованном списке. 

lst.subsets <- list()
subset.iterator <- 0

# Get all possible years from dataframe
years <- unique(DatasetMerg$Year)

for(y in years){
  # Get all possible blocks for the current year
  blocks <- unique(DatasetMerg[DatasetMerg$Year == y, "Block"])

  for(b in blocks){
    subset.iterator <- subset.iterator + 1
    lst.subsets[[subset.iterator]] <- subset(DatasetMerg, 
                                             Year == y & Block == b,
                                             select = c(4:7))

    names(lst.subsets)[[subset.iterator]] <- paste0('Dataveg', y, b)
  }
}
...