我怎么能订购像这样的矢量
c("7","10a","10b","10c","8","9","11c","11b","11a","12") -> alph
Run Code Online (Sandbox Code Playgroud)
在
alph
[1] "7","8","9","10a","10b","10c","11a","11b","11c","12"
Run Code Online (Sandbox Code Playgroud)
并使用它来对data.frame进行排序
V1 <- c("A","A","B","B","C","C","D","D","E","E")
V2 <- 2:1
V3 <- alph
df <- data.frame(V1,V2,V3)
Run Code Online (Sandbox Code Playgroud)
并命令行获取(订单V2,然后V3)
V1 V2 V3
C 1 9
A 1 10a
B 1 10c
D 1 11b
E 1 12
A 2 7
C 2 8
B 2 10b
E 2 11a
D 2 11c
Run Code Online (Sandbox Code Playgroud)
Bac*_*lin 26
> library(gtools)
> mixedsort(alph)
[1] "7" "8" "9" "10a" "10b" "10c" "11a" "11b" "11c" "12"
Run Code Online (Sandbox Code Playgroud)
排序您使用data.frame mixedorder
代替
> mydf <- data.frame(alph, USArrests[seq_along(alph),])
> mydf[mixedorder(mydf$alph),]
alph Murder Assault UrbanPop Rape
Alabama 7 13.2 236 58 21.2
California 8 9.0 276 91 40.6
Colorado 9 7.9 204 78 38.7
Alaska 10a 10.0 263 48 44.5
Arizona 10b 8.1 294 80 31.0
Arkansas 10c 8.8 190 50 19.5
Florida 11a 15.4 335 80 31.9
Delaware 11b 5.9 238 72 15.8
Connecticut 11c 3.3 110 77 11.1
Georgia 12 17.4 211 60 25.8
Run Code Online (Sandbox Code Playgroud)
mixedorder
在多个向量(列)上显然mixedorder
无法处理多个向量.我已经创建了一个函数,通过将所有字符向量转换为具有mixedsorted排序级别的因子来绕过这一点,并将所有向量传递给标准order
函数.
multi.mixedorder <- function(..., na.last = TRUE, decreasing = FALSE){
do.call(order, c(
lapply(list(...), function(l){
if(is.character(l)){
factor(l, levels=mixedsort(unique(l)))
} else {
l
}
}),
list(na.last = na.last, decreasing = decreasing)
))
}
Run Code Online (Sandbox Code Playgroud)
但是,在您的特定情况下,multi.mixedorder
获得与标准相同的结果order
,因为它V2
是数字.
df <- data.frame(
V1 = c("A","A","B","B","C","C","D","D","E","E"),
V2 = 19:10,
V3 = alph,
stringsAsFactors = FALSE)
df[multi.mixedorder(df$V2, df$V3),]
V1 V2 V3
10 E 10 12
9 E 11 11a
8 D 12 11b
7 D 13 11c
6 C 14 9
5 C 15 8
4 B 16 10c
3 B 17 10b
2 A 18 10a
1 A 19 7
Run Code Online (Sandbox Code Playgroud)
19:10
相当于c(19:10)
.c
表示concat,即用很多short来制作一个长向量,但在你的情况下你只有一个向量(19:10
)所以不需要连接任何东西.但是,如果V1
您有10个长度为1的向量,那么您需要连接,就像您已经做的那样.stringsAsFactors=FALSE
转换V1
和V3
(错误排序)因子(默认情况下).