如何在R中创建字符串向量的频率表？

2024-04-20 19:23:05 349

要创建一个字符串向量的频率表，我们只需要使用表函数。例如，如果我们有一个向量x，其中包含随机采样的前五个英文字母的100个值，则可以使用table(x)创建向量x的表。这将生成一个表格以及向量名称。

例1

> x1<-sample(letters[1:4],20,replace=TRUE)
> x1

输出结果

[1] "d" "d" "a" "c" "a" "a" "c" "a" "d" "c" "a" "d" "d" "b" "c" "a" "b" "c" "d"
[20] "b"

示例

> table(x1)

输出结果

x1
a b c d
6 3 5 6

例2

> x2<-sample(letters[1:26],120,replace=TRUE)
> x2

输出结果

[1] "w" "j" "p" "y" "r" "m" "y" "r" "z" "v" "p" "d" "s" "x" "j" "t" "d" "e"
[19] "l" "m" "f" "p" "u" "a" "d" "y" "y" "k" "n" "i" "m" "g" "s" "e" "n" "a"
[37] "w" "a" "s" "w" "n" "f" "f" "n" "s" "q" "y" "a" "h" "d" "q" "h" "g" "f"
[55] "z" "e" "a" "v" "f" "a" "w" "o" "u" "c" "l" "h" "z" "o" "e" "w" "x" "t"
[73] "y" "f" "q" "e" "d" "c" "l" "s" "x" "i" "i" "q" "p" "o" "v" "k" "b" "w"
[91] "s" "k" "s" "l" "f" "t" "j" "u" "j" "s" "p" "w" "w" "o" "d" "x" "l" "h"
[109] "u" "d" "p" "l" "h" "s" "n" "a" "o" "k" "y" "m"

示例

> table(x2)

输出结果

x2
a b c d e f g h i j k l m n o p q r s t u v w x y z
7 1 2 7 5 7 2 5 3 4 4 6 4 5 5 6 4 2 9 3 4 3 8 4 7 3

例子3

> x3<-sample(LETTERS[1:26],150,replace=TRUE)
> x3

输出结果

[1] "U" "M" "A" "J" "Q" "L" "L" "Y" "A" "Q" "P" "R" "M" "T" "U" "H" "V" "H"
[19] "I" "H" "G" "D" "H" "V" "X" "K" "R" "H" "Y" "I" "L" "K" "O" "W" "Z" "K"
[37] "Q" "R" "D" "E" "I" "A" "E" "U" "C" "N" "S" "R" "O" "A" "Y" "I" "E" "E"
[55] "D" "F" "A" "G" "S" "Y" "B" "X" "H" "J" "O" "L" "A" "K" "D" "U" "N" "K"
[73] "S" "Y" "V" "V" "X" "Q" "M" "S" "G" "L" "I" "Y" "C" "T" "N" "I" "E" "E"
[91] "X" "G" "B" "Q" "D" "C" "G" "R" "P" "A" "Z" "A" "Z" "Z" "X" "G" "D" "G"
[109] "T" "T" "W" "I" "N" "H" "E" "P" "M" "U" "Q" "U" "P" "S" "N" "Z" "G" "P"
[127] "N" "I" "C" "H" "S" "U" "Q" "Q" "S" "T" "D" "D" "I" "S" "S" "V" "R" "Q"
[145] "V" "C" "O" "B" "E" "X"

示例

> table(x3)

输出结果

x3
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
8 3 5 8 8 1 8 8 9 2 5 5 4 6 4 5 9 6 9 5 7 6 2 6 6 5

例子4

> x4<-sample(c("India","USA","UK","Turkey"),100,replace=TRUE)
> x4

输出结果

[1] "Turkey" "India" "India" "USA" "India" "Turkey" "India" "USA"
[9] "India" "USA" "USA" "UK" "India" "UK" "USA" "India"
[17] "Turkey" "Turkey" "USA" "India" "Turkey" "USA" "USA" "UK"
[25] "USA" "Turkey" "India" "Turkey" "India" "UK" "UK" "UK"
[33] "UK" "USA" "USA" "UK" "Turkey" "USA" "India" "UK"
[41] "India" "India" "India" "Turkey" "USA" "India" "USA" "USA"
[49] "India" "UK" "India" "UK" "USA" "Turkey" "Turkey" "USA"
[57] "Turkey" "Turkey" "India" "Turkey" "Turkey" "UK" "Turkey" "USA"
[65] "Turkey" "India" "Turkey" "USA" "USA" "UK" "UK" "Turkey"
[73] "USA" "India" "Turkey" "Turkey" "India" "Turkey" "USA" "UK"
[81] "India" "Turkey" "USA" "UK" "UK" "UK" "USA" "USA"
[89] "India" "India" "Turkey" "Turkey" "USA" "Turkey" "Turkey" "UK"
[97] "USA" "UK" "UK" "UK"

示例

> table(x4)

输出结果

x4
India Turkey UK USA
24 27 22 27

范例5

> x5<-sample(c("Europe","Asia","North America","Africa","South America","Antartica","Oceania"),100,replace=TRUE)
> x5

输出结果

[1] "Asia" "Oceania" "Antartica" "Antartica"
[5] "South America" "Oceania" "Africa" "Africa"
[9] "Europe" "Africa" "Africa" "North America"
[13] "North America" "Oceania" "Antartica" "Asia"
[17] "Antartica" "Europe" "Asia" "North America"
[21] "South America" "Europe" "Oceania" "Oceania"
[25] "Asia" "Oceania" "South America" "Antartica"
[29] "Europe" "Europe" "Oceania" "Africa"
[33] "Asia" "Africa" "South America" "Antartica"
[37] "North America" "South America" "South America" "South America"
[41] "Asia" "South America" "Europe" "South America"
[45] "Asia" "North America" "Africa" "North America"
[49] "North America" "South America" "North America" "Antartica"
[53] "Asia" "South America" "North America" "South America"
[57] "Antartica" "South America" "Asia" "North America"
[61] "North America" "Oceania" "North America" "Asia"
[65] "Europe" "Oceania" "Africa" "Antartica"
[69] "Antartica" "Antartica" "North America" "Asia"
[73] "Antartica" "Antartica" "South America" "Europe"
[77] "Africa" "North America" "Asia" "Africa"
[81] "Oceania" "Africa" "Europe" "Asia"
[85] "North America" "Africa" "Europe" "Oceania"
[89] "Asia" "Europe" "Europe" "Africa"
[93] "Africa" "Antartica" "Antartica" "Africa"
[97] "South America" "Oceania" "South America" "North America"

示例

> table(x5)

输出结果

x5
Africa Antartica Asia Europe North America
15 15 14 12 16
Oceania South America
12 16

如何在R中创建字符串向量的频率表？

例1

示例

例2

示例

例子3

示例

例子4

示例

范例5

示例

热门推荐

随机推荐