我有這樣的載體:結合在多個行中的相同載體
Vec=c("a" , "b", "c ", "d")
欲將此作爲數據幀:
[,1] [,2] [,3] [,4]
[1,] a b c d
[2,] a b c d
[3,] a b c d
[4,] a b c d
[5,] a b c d
我有這樣的載體:結合在多個行中的相同載體
Vec=c("a" , "b", "c ", "d")
欲將此作爲數據幀:
[,1] [,2] [,3] [,4]
[1,] a b c d
[2,] a b c d
[3,] a b c d
[4,] a b c d
[5,] a b c d
另一種選擇:
t(replicate(5, Vec))
# [,1] [,2] [,3] [,4]
#[1,] "a" "b" "c " "d"
#[2,] "a" "b" "c " "d"
#[3,] "a" "b" "c " "d"
#[4,] "a" "b" "c " "d"
#[5,] "a" "b" "c " "d"
然後爲'as.data.frame(t(replicate(5,Vec)))'添加'as.data.frame()'以產生數據幀。 –
一個使用rbind
和do.call
將方式:
do.call(rbind, replicate(5, Vec, simplify = FALSE))
[,1] [,2] [,3] [,4]
[1,] "a" "b" "c " "d"
[2,] "a" "b" "c " "d"
[3,] "a" "b" "c " "d"
[4,] "a" "b" "c " "d"
[5,] "a" "b" "c " "d"
你可以用你喜歡的任何數字替換5
。
replicate
返回列表中的Vec 5次(simplify = FALSE
創建列表)。這些元素是rbind
-ed使用do.call
。
更新:
實際使用matrix
可能是最好的:
> matrix(Vec, nrow=5, ncol=length(Vec), byrow=TRUE)
[,1] [,2] [,3] [,4]
[1,] "a" "b" "c " "d"
[2,] "a" "b" "c " "d"
[3,] "a" "b" "c " "d"
[4,] "a" "b" "c " "d"
[5,] "a" "b" "c " "d"
更改nrow
參數任何你想要的號碼,你就準備好它。
全部3個回答將需要使用as.data.frame
轉換爲data.frame所以我從微基準排除這樣的:
微基準
> microbenchmark::microbenchmark(t(replicate(5, Vec)),
+ do.call(rbind, replicate(5, Vec, simplify = FALSE)),
+ matrix(Vec, nrow=5, ncol=4, byrow=TRUE),
+ times=1000)
Unit: microseconds
expr min lq mean median uq max neval
t(replicate(5, Vec)) 52.854 59.013 68.393740 63.374 70.815 1749.326 1000
do.call(rbind, replicate(5, Vec, simplify = FALSE)) 18.986 23.092 27.325856 25.144 27.710 105.708 1000
matrix(Vec, nrow = 5, ncol = 4, byrow = TRUE) 1.539 2.566 3.474166 3.079 3.593 29.763 1000
正如你可以看到matrix
解決方案迄今爲止最好的。
呀'矩陣()'是迄今爲止以其神奇的回收能力最明智的方式。 –
快速和骯髒的: 'DF < - T(data.frame(VEC,VEC,VEC,VEC,VEC))' – maRtin