如何按字母顺序对 R 数据框行进行排序?
如果我们将字符串数据存储在 R 数据框列中,那么我们可能希望按字母顺序对数据框行进行排序。这可以借助转置函数中的 apply 和 sort 函数来完成。
例如,如果我们有一个名为 df 的数据框,其中包含字符串数据,则可以使用以下给定的命令按字母顺序对 df 进行排序 -
t(apply(df,1,sort))
示例 1
以下代码段创建了一个示例数据框 -
x1<-sample(LETTERS[1:26],20)输出结果x2<-sample(LETTERS[1:26],20)
x3<-sample(LETTERS[1:26],20)
df1<-data.frame(x1,x2,x3)
df1
创建以下数据框 -
x1 x2 x31 Z L Y
2 Q W J
3 P S Z
4 U E C
5 M C K
6 H G M
7 L A I
8 F Q T
9 R T G
10 X N P
11 T I L
12 N J E
13 E X R
14 Y U N
15 W D W
16 S M F
17 B O V
18 A B U
19 I Z D
20 O F A
要按字母顺序对 df1 行进行排序,请将以下代码添加到上面的代码段中 -
x1<-sample(LETTERS[1:26],20)输出结果x2<-sample(LETTERS[1:26],20)
x3<-sample(LETTERS[1:26],20)
df1<-data.frame(x1,x2,x3)
t(apply(df1,1,sort))
如果您将上述所有代码作为单个程序执行,它会生成以下输出 -
[,1] [,2] [,3][1,] "L" "Y" "Z"
[2,] "J" "Q" "W"
[3,] "P" "S" "Z"
[4,] "C" "E" "U"
[5,] "C" "K" "M"
[6,] "G" "H" "M"
[7,] "A" "I" "L"
[8,] "F" "Q" "T"
[9,] "G" "R" "T"
[10,] "N" "P" "X"
[11,] "I" "L" "T"
[12,] "E" "J" "N"
[13,] "E" "R" "X"
[14,] "N" "U" "Y"
[15,] "D" "W" "W"
[16,] "F" "M" "S"
[17,] "B" "O" "V"
[18,] "A" "B" "U"
[19,] "D" "I" "Z"
[20,] "A" "F" "O"
示例 2
以下代码段创建了一个示例数据框 -
y1<-sample(c("India","Russia","China"),20,replace=TRUE)输出结果y2<-sample(c("UK","USA","Egpyt"),20,replace=TRUE)
y3<-sample(c("Sudan","Nepal","Croatia"),20,replace=TRUE)
df2<-data.frame(y1,y2,y3)
df2
创建以下数据框 -
y1 y2 y31 India UK Nepal
2 India Egpyt Sudan
3 China USA Nepal
4 China USA Sudan
5 Russia UK Nepal
6 India Egpyt Sudan
7 India UK Croatia
8 China USA Nepal
9 India Egpyt Nepal
10 Russia UK Croatia
11 Russia UK Nepal
12 India UK Croatia
13 Russia USA Nepal
14 Russia Egpyt Nepal
15 India Egpyt Croatia
16 India Egpyt Nepal
17 China UK Nepal
18 India UK Sudan
19 India Egpyt Croatia
20 Russia USA Nepal
要按字母顺序对 df2 行进行排序,请将以下代码添加到上面的代码段中 -
y1<-sample(c("India","Russia","China"),20,replace=TRUE)输出结果y2<-sample(c("UK","USA","Egpyt"),20,replace=TRUE)
y3<-sample(c("Sudan","Nepal","Croatia"),20,replace=TRUE)
df2<-data.frame(y1,y2,y3)
t(apply(df2,1,sort))
如果您将上述所有代码作为单个程序执行,它会生成以下输出 -
[,1] [,2] [,3][1,] "India" "Nepal" "UK"
[2,] "Egpyt" "India" "Sudan"
[3,] "China" "Nepal" "USA"
[4,] "China" "Sudan" "USA"
[5,] "Nepal" "Russia" "UK"
[6,] "Egpyt" "India" "Sudan"
[7,] "Croatia" "India" "UK"
[8,] "China" "Nepal" "USA"
[9,] "Egpyt" "India" "Nepal"
[10,] "Croatia" "Russia" "UK"
[11,] "Nepal" "Russia" "UK"
[12,] "Croatia" "India" "UK"
[13,] "Nepal" "Russia" "USA"
[14,] "Egpyt" "Nepal" "Russia"
[15,] "Croatia" "Egpyt" "India"
[16,] "Egpyt" "India" "Nepal"
[17,] "China" "Nepal" "UK"
[18,] "India" "Sudan" "UK"
[19,] "Croatia" "Egpyt" "India"
[20,] "Nepal" "Russia" "USA"
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