私は、schoolid変数の一意の値に基づいてサブセット化したいデータフレームを持っています。これらはリストにスコアリングされるので、リストの各メンバーはデータフレームのサブセットです。私は明らかに、一度に1つの特定の学校の値に対してこれを行う方法を知っていますが、どの値が学校で発生する可能性があるかを知らずにこれを体系的に行うことはできますか?サブセットデータフレームをリストに入れる
ありがとうございました! ジェフは
structure(list(schoolid = c(84351L, 84351L, 84351L, 84351L, 84351L,
84351L, 84351L, 84351L, 84351L, 84351L, 84351L, 84351L, 84351L,
84351L, 84351L, 84384L, 84384L, 84384L, 84384L, 84384L, 84384L,
84384L, 84384L, 84384L, 84384L, 84384L, 84384L, 84384L, 84384L,
84384L, 84385L, 84385L, 84385L, 84385L, 84385L, 84385L, 84385L,
84385L, 84385L, 84385L, 84385L, 84385L, 84385L, 84385L, 84385L,
84386L, 84386L, 84386L, 84386L, 84386L, 84386L, 84386L, 84386L,
84386L, 84386L, 84386L, 84386L, 84386L, 84386L, 84386L, 84387L,
84387L, 84387L, 84387L, 84387L, 84387L, 84387L, 84387L, 84387L,
84388L, 84388L, 84388L, 84388L, 84388L, 84388L, 84388L, 84388L,
84388L, 84389L, 84389L, 84389L, 84389L, 84389L, 84389L, 84389L,
84389L, 84389L, 84395L, 84395L, 84395L, 84395L, 84395L, 84395L,
84397L, 84397L, 84397L, 84397L, 84397L, 84397L, 84398L, 84398L,
84398L, 84398L, 84398L, 84398L, 84351L, 84351L, 84351L, 84351L,
84351L, 84351L, 84351L, 84351L, 84351L, 84351L, 84351L, 84351L,
84384L, 84384L, 84384L, 84384L, 84384L, 84384L, 84384L, 84384L,
84384L, 84384L, 84384L, 84385L, 84385L, 84385L, 84385L, 84385L,
84385L, 84385L, 84385L, 84385L, 84385L, 84385L, 84385L, 84385L,
84386L, 84386L, 84386L, 84386L, 84386L, 84386L, 84386L, 84386L,
84386L, 84386L, 84386L, 84386L, 84387L, 84387L, 84387L, 84387L,
84387L, 84387L, 84387L, 84387L, 84388L, 84388L, 84388L, 84388L,
84388L, 84388L, 84389L, 84389L, 84389L, 84389L, 84389L, 84389L,
84389L, 84389L, 84389L, 84397L, 84397L, 84398L, 84398L, 84398L,
84398L, 84398L, 84351L, 84351L, 84351L, 84351L, 84351L, 84351L,
84351L, 84351L, 84351L, 84351L, 84351L, 84351L, 84351L, 84351L,
84384L, 84384L, 84384L, 84384L, 84384L, 84384L, 84384L, 84384L,
84384L, 84384L, 84384L, 84384L, 84384L, 84385L, 84385L, 84385L,
84385L, 84385L, 84385L, 84385L, 84385L, 84385L, 84385L, 84385L,
84385L, 84385L, 84385L, 84385L, 84386L, 84386L, 84386L, 84386L,
84386L, 84386L, 84386L, 84386L, 84386L, 84386L, 84386L, 84386L,
84386L, 84386L, 84387L, 84387L, 84387L, 84387L, 84387L, 84387L,
84387L, 84387L, 84388L, 84388L, 84388L, 84388L, 84388L, 84388L,
84388L, 84388L, 84388L, 84389L, 84389L, 84389L, 84389L, 84389L,
84389L, 84389L, 84395L, 84395L, 84395L, 84395L, 84397L, 84397L,
84397L, 84397L, 84397L, 84397L, 84398L, 84398L, 84398L, 84398L,
84398L, 84398L), subgroup = c("All", "All", "All", "All", "All",
"All", "All", "All", "All", "All", "All", "All", "All", "All",
"All", "All", "All", "All", "All", "All", "All", "All", "All",
"All", "All", "All", "All", "All", "All", "All", "All", "All",
"All", "All", "All", "All", "All", "All", "All", "All", "All",
"All", "All", "All", "All", "All", "All", "All", "All", "All",
"All", "All", "All", "All", "All", "All", "All", "All", "All",
"All", "All", "All", "All", "All", "All", "All", "All", "All",
"All", "All", "All", "All", "All", "All", "All", "All", "All",
"All", "All", "All", "All", "All", "All", "All", "All", "All",
"All", "All", "All", "All", "All", "All", "All", "All", "All",
"All", "All", "All", "All", "All", "All", "All", "All", "All",
"All", "ELL", "ELL", "ELL", "ELL", "ELL", "ELL", "ELL", "ELL",
"ELL", "ELL", "ELL", "ELL", "ELL", "ELL", "ELL", "ELL", "ELL",
"ELL", "ELL", "ELL", "ELL", "ELL", "ELL", "ELL", "ELL", "ELL",
"ELL", "ELL", "ELL", "ELL", "ELL", "ELL", "ELL", "ELL", "ELL",
"ELL", "ELL", "ELL", "ELL", "ELL", "ELL", "ELL", "ELL", "ELL",
"ELL", "ELL", "ELL", "ELL", "ELL", "ELL", "ELL", "ELL", "ELL",
"ELL", "ELL", "ELL", "ELL", "ELL", "ELL", "ELL", "ELL", "ELL",
"ELL", "ELL", "ELL", "ELL", "ELL", "ELL", "ELL", "ELL", "ELL",
"ELL", "ELL", "ELL", "ELL", "ELL", "ELL", "ELL", "SpEd", "SpEd",
"SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd",
"SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd",
"SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd",
"SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd",
"SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd",
"SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd",
"SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd",
"SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd",
"SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd",
"SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd",
"SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd",
"SpEd", "SpEd", "SpEd", "SpEd", "SpEd", "SpEd"), grade = c(0L,
0L, 0L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 0L, 0L,
0L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 0L, 0L, 0L,
1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 0L, 0L, 0L, 1L,
1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 0L, 0L, 0L, 1L, 1L,
1L, 2L, 2L, 2L, 0L, 0L, 0L, 1L, 1L, 1L, 2L, 2L, 2L, 0L, 0L, 0L,
1L, 1L, 1L, 2L, 2L, 2L, 5L, 5L, 5L, 6L, 6L, 6L, 0L, 0L, 0L, 1L,
1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 2L, 2L, 2L,
3L, 3L, 4L, 4L, 0L, 0L, 0L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 4L, 0L,
0L, 0L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 4L, 4L, 0L, 0L, 0L, 1L,
1L, 1L, 2L, 2L, 2L, 3L, 3L, 4L, 0L, 0L, 1L, 1L, 1L, 2L, 2L, 2L,
0L, 1L, 1L, 1L, 2L, 2L, 0L, 0L, 0L, 1L, 1L, 1L, 2L, 2L, 2L, 0L,
0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 2L, 2L, 2L, 3L,
3L, 4L, 4L, 4L, 0L, 0L, 0L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 3L, 4L,
4L, 0L, 0L, 0L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L,
0L, 0L, 0L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 0L, 0L,
1L, 1L, 1L, 2L, 2L, 2L, 0L, 0L, 0L, 1L, 1L, 1L, 2L, 2L, 2L, 0L,
1L, 1L, 1L, 2L, 2L, 2L, 5L, 5L, 6L, 6L, 0L, 0L, 0L, 1L, 1L, 1L,
0L, 0L, 0L, 1L, 1L, 1L), FnPLevel = structure(c(1L, 2L, 3L, 1L,
2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L,
3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L,
1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L,
2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L,
3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L,
1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L,
2L, 3L, 1L, 2L, 3L, 1L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 3L, 1L,
2L, 1L, 2L, 3L, 1L, 3L, 1L, 2L, 3L, 2L, 3L, 1L, 1L, 2L, 3L, 1L,
2L, 3L, 1L, 2L, 3L, 1L, 3L, 1L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L,
2L, 3L, 1L, 3L, 1L, 1L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 3L, 1L, 2L,
3L, 1L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 3L, 1L, 2L,
3L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 3L, 1L, 2L,
3L, 1L, 2L, 3L, 1L, 2L, 3L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 1L, 2L,
3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L,
1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 2L, 3L, 1L, 2L, 1L, 2L, 3L,
1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 3L, 1L, 2L, 3L,
1L, 2L, 3L, 1L, 2L, 1L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L,
1L, 2L, 3L), .Label = c("AGL", "BGL", "OGL"), class = "factor"),
num = c(54L, 9L, 32L, 58L, 15L, 45L, 76L, 22L, 81L, 83L,
1L, 49L, 71L, 22L, 19L, 51L, 34L, 37L, 86L, 10L, 44L, 41L,
24L, 79L, 55L, 20L, 60L, 52L, 11L, 7L, 59L, 21L, 13L, 89L,
34L, 23L, 68L, 21L, 66L, 70L, 12L, 50L, 51L, 6L, 8L, 51L,
5L, 27L, 45L, 23L, 13L, 31L, 12L, 44L, 31L, 7L, 47L, 31L,
17L, 8L, 36L, 9L, 13L, 36L, 17L, 23L, 45L, 16L, 42L, 32L,
7L, 17L, 49L, 16L, 19L, 54L, 5L, 44L, 18L, 10L, 24L, 49L,
17L, 19L, 73L, 7L, 28L, 42L, 5L, 2L, 32L, 1L, 7L, 41L, 14L,
20L, 34L, 22L, 29L, 64L, 17L, 25L, 26L, 11L, 18L, 6L, 4L,
4L, 2L, 2L, 2L, 1L, 4L, 1L, 4L, 2L, 4L, 1L, 6L, 4L, 5L, 7L,
1L, 2L, 8L, 2L, 2L, 1L, 7L, 5L, 2L, 5L, 1L, 3L, 2L, 4L, 5L,
2L, 4L, 1L, 1L, 3L, 2L, 2L, 3L, 4L, 3L, 1L, 1L, 7L, 1L, 3L,
1L, 3L, 2L, 2L, 3L, 6L, 3L, 2L, 3L, 1L, 1L, 2L, 1L, 1L, 2L,
1L, 4L, 7L, 3L, 6L, 4L, 1L, 2L, 3L, 1L, 3L, 2L, 6L, 3L, 2L,
2L, 7L, 2L, 2L, 11L, 7L, 6L, 6L, 7L, 20L, 13L, 10L, 9L, 11L,
4L, 2L, 4L, 3L, 5L, 2L, 7L, 6L, 12L, 3L, 11L, 10L, 3L, 3L,
7L, 5L, 2L, 7L, 12L, 3L, 13L, 6L, 12L, 6L, 5L, 7L, 1L, 1L,
2L, 4L, 1L, 2L, 8L, 11L, 3L, 5L, 5L, 9L, 2L, 2L, 10L, 2L,
2L, 1L, 3L, 5L, 6L, 2L, 1L, 7L, 11L, 2L, 3L, 2L, 4L, 8L,
3L, 2L, 2L, 8L, 1L, 6L, 7L, 4L, 3L, 2L, 2L, 3L, 2L, 2L, 1L,
5L, 3L, 4L, 2L, 7L, 5L, 7L, 7L, 4L, 1L, 5L, 1L)), .Names = c("schoolid",
"subgroup", "grade", "FnPLevel", "num"), row.names = c(NA, 279L
), class = "data.frame")
私はあなたの質問を完全に理解していませんが、 'subset'を使って' split'や 'lapply'が役に立つかもしれません。私はあなたが分割すると予想されるものをもう少し明確にしなければならないかもしれないと思います。範囲が必要ですか?ある値。私は 'match'や' gregexpr'が解決策の一部かもしれないと思います。 –