我有：
A1 <- c(1, 1, 0, 93, 19, 8.7)
A2 <- c(2, 1, 0, 226, 45, 6.9)
A3 <- c(3, 2, 1, 86, 17, 8.5)
B1 <- c(1, 4, 1, 113, 23, 7 )
B2 <- c(2, 4, 0, 108, 22, 7 )
B3 <- c(3, 5, 0, 246, 49, 9.5)
C1 <- c(1, 9, 0, 127, 25, 8 )
C2 <- c(2, 10, 1, 116, 23, 8 )
C3 <- c(3, 10, 0, 159.3, 32, 8 )
D1 <- c(1, 11, 0, 431, 86, 10 )
D2 <- c(2, 12, 0, 52, 10, 8 )
D3 <- c(3, 12, 1, 171, 34, 4.2)
E1 <- c(1, 16, 0, 270, 54, 7 )
E2 <- c(2, 16, 0, 86, 17, 8 )
E3 <- c(3, 16, 1, 237, 47, 9 )
F1 <- c(1, 19, 1, 98, 20, 8 )
F2 <- c(2, 20, 1, 164, 33, 8 )
F3 <- c(3, 21, 0, 99, 25, 8 )
G1 <- c(1, 22, 1, 125, 25, 9 )
G2 <- c(2, 25, 0, 222, 44, 9 )
G3 <- c(3, 25, 0, 161, 32, 11 )
H1 <- c(1, 26, 1, 52, 10, 6.8)
H2 <- c(2, 28, 0, 405, 81, 9 )
H3 <- c(3, 29, 0, 71, 14, 8 )
DG = matrix( c(A1,A2,A3,B1,B2,B3,C1,C2,C3,D1,D2,D3,E1,E2,E3,F1,F2,F3,G1,G2,G3,H1,H2,H3), nrow=6, ncol=24 , dimnames=list( c("number","time","status","Trig","vldl","low"), c("A1","A2","A3","B1","B2","B3","C1","C2","C3","D1","D2","D3","E1","E2","E3","F1","F2","F3","G1","G2","G3","H1","H2","H3")))
TD <- t(DG)
想要在行之间进行组合，而无需重复：
lapply(combn(24,3,simplify=FALSE),function(x) TD[x,])＃某些结果将显示为：
[[1901]]
number time status Trig vldl low
E2 2 16 0 86 17 8
G3 3 25 0 161 32 11
H3 3 29 0 71 14 8
[[1902]]
number time status Trig vldl low
E2 2 16 0 86 17 8.0
H1 1 26 1 52 10 6.8
H2 2 28 0 405 81 9.0
[[1903]]
number time status Trig vldl low
E2 2 16 0 86 17 8.0
H1 1 26 1 52 10 6.8
H3 3 29 0 71 14 8.0
[[1904]]
number time status Trig vldl low
E2 2 16 0 86 17 8
H2 2 28 0 405 81 9
H3 3 29 0 71 14 8
[[1905]]
number time status Trig vldl low
E3 3 16 1 237 47 9
F1 1 19 1 98 20 8
F2 2 20 1 164 33 8
[[1906]]
number time status Trig vldl low
E3 3 16 1 237 47 9
F1 1 19 1 98 20 8
F3 3 21 0 99 25 8
[[1907]]
number time status Trig vldl low
E3 3 16 1 237 47 9
F1 1 19 1 98 20 8
G1 1 22 1 125 25 9
[[1908]]
number time status Trig vldl low
E3 3 16 1 237 47 9
F1 1 19 1 98 20 8
G2 2 25 0 222 44 9
[[1909]]
number time status Trig vldl low
E3 3 16 1 237 47 9
F1 1 19 1 98 20 8
G3 3 25 0 161 32 11
[[1910]]
number time status Trig vldl low
E3 3 16 1 237 47 9.0
F1 1 19 1 98 20 8.0
H1 1 26 1 52 10 6.8
[[1911]]
number time status Trig vldl low
E3 3 16 1 237 47 9
F1 1 19 1 98 20 8
H2 2 28 0 405 81 9
[[1912]]
number time status Trig vldl low
E3 3 16 1 237 47 9
F1 1 19 1 98 20 8
H3 3 29 0 71 14 8
[[1913]]
number time status Trig vldl low
E3 3 16 1 237 47 9
F2 2 20 1 164 33 8
F3 3 21 0 99 25 8
number time status Trig vldl low
G2 2 25 0 222 44 9.0
H1 1 26 1 52 10 6.8
H3 3 29 0 71 14 8.0
[[2020]]
number time status Trig vldl low
G2 2 25 0 222 44 9
H2 2 28 0 405 81 9
H3 3 29 0 71 14 8
[[2021]]
number time status Trig vldl low
G3 3 25 0 161 32 11.0
H1 1 26 1 52 10 6.8
H2 2 28 0 405 81 9.0
[[2022]]
number time status Trig vldl low
G3 3 25 0 161 32 11.0
H1 1 26 1 52 10 6.8
H3 3 29 0 71 14 8.0
[[2023]]
number time status Trig vldl low
G3 3 25 0 161 32 11
H2 2 28 0 405 81 9
H3 3 29 0 71 14 8
[[2024]]
number time status Trig vldl low
H1 1 26 1 52 10 6.8
H2 2 28 0 405 81 9.0
H3 3 29 0 71 14 8.0
这在某些结果形式R之上，但我想在行之间进行组合而不重复字母或所有matirix都使用半字母作为：
true resut :
[[1901]]
number time status Trig vldl low
E2 2 16 0 86 17 8
G3 3 25 0 161 32 11
H3 3 29 0 71 14 8
[[1908]]
number time status Trig vldl low
E3 3 16 1 237 47 9
F1 1 19 1 98 20 8
G2 2 25 0 222 44 9
FALSE RESULT :
[[2021]]
number time status Trig vldl low
G3 3 25 0 161 32 11.0
H1 1 26 1 52 10 6.8
H2 2 28 0 405 81 9.0
[[2023]]
number time status Trig vldl low
G3 3 25 0 161 32 11
H2 2 28 0 405 81 9
H3 3 29 0 71 14 8
[[2024]]
number time status Trig vldl low
H1 1 26 1 52 10 6.8
H2 2 28 0 405 81 9.0
H3 3 29 0 71 14 8.0
请帮助我，可以将组合中的重复项删除为(H1,H2,H3) OR ( A1,A2,A3) OR (H1,A1,A2) ......等等，谢谢
答案 0 :(得分：1)
您可以先生成块的所有组合（A，B，...），然后为每个块组合枚举行的所有组合：
rowidx <- as.matrix(do.call(expand.grid, rep(list(1:3), 3)))
gid <- cumsum(rep(3, 8)) - 3
res <- lapply(combn(1:8, 3, simplify = FALSE), function(x){
lapply(1:nrow(rowidx), function(y){
TD[gid[x] + rowidx[y, ], ]
})
})
res <- unlist(res, recursive = FALSE)
# sample example output
sample(res, 3)
# [[1]]
# number time status Trig vldl low
# A3 3 2 1 86 17 8.5
# E1 1 16 0 270 54 7.0
# G1 1 22 1 125 25 9.0
#
# [[2]]
# number time status Trig vldl low
# C1 1 9 0 127 25 8.0
# F2 2 20 1 164 33 8.0
# H1 1 26 1 52 10 6.8
#
# [[3]]
# number time status Trig vldl low
# B3 3 5 0 246 49 9.5
# C2 2 10 1 116 23 8.0
# E3 3 16 1 237 47 9.0
#
通用版本：
gid <- cumsum(rep(3, 8)) - 3
n <- 4 # change n to whatever value (between 2..8) you want.
rowidx <- as.matrix(do.call(expand.grid, rep(list(1:3), n)))
res <- lapply(combn(1:8, n, simplify = FALSE), function(x){
lapply(1:nrow(rowidx), function(y){
TD[gid[x] + rowidx[y, ], ]
})
})
res <- unlist(res, recursive = FALSE)