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法學如何在R語言中將資料框的行按字母順序排序？
如果我們在R語言資料框的列中儲存字串資料，我們可能希望按字母順序對資料框的行進行排序。這可以使用`apply`、`sort`和`t`（轉置）函式來完成。
例如，如果我們有一個包含字串資料的名為`df`的資料框，則可以使用以下命令按字母順序對`df`進行排序：
t(apply(df,1,sort))
示例 1
以下程式碼片段建立了一個示例資料框：
x1<-sample(LETTERS[1:26],20) x2<-sample(LETTERS[1:26],20) x3<-sample(LETTERS[1:26],20) df1<-data.frame(x1,x2,x3) df1
輸出
建立了以下資料框：
x1 x2 x3 1 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
要按字母順序對`df1`的行進行排序，請將以下程式碼新增到上面的程式碼片段中：
x1<-sample(LETTERS[1:26],20) x2<-sample(LETTERS[1:26],20) x3<-sample(LETTERS[1:26],20) df1<-data.frame(x1,x2,x3) t(apply(df1,1,sort))
輸出
如果您將以上所有程式碼作為單個程式執行，它將生成以下輸出：
[,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
以下程式碼片段建立了一個示例資料框：
y1<-sample(c("India","Russia","China"),20,replace=TRUE)
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輸出
建立了以下資料框：
y1 y2 y3 1 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
要按字母順序對`df2`的行進行排序，請將以下程式碼新增到上面的程式碼片段中：
y1<-sample(c("India","Russia","China"),20,replace=TRUE)
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))輸出
如果您將以上所有程式碼作為單個程式執行，它將生成以下輸出：
[,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"
更新於：2021年11月6日
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