欢迎您访问程序员文章站本站旨在为大家提供分享程序员计算机编程知识!
您现在的位置是: 首页  >  IT编程

R语言 Factor类型的变量使用说明

程序员文章站 2022-11-23 20:51:30
factor类型的创建1. factor( )> credit_rating <- c("bb", "aaa", "aa", "ccc", "aa", "aaa", "b", "bb")...

factor类型的创建

1. factor( )

> credit_rating <- c("bb", "aaa", "aa", "ccc", "aa", "aaa", "b", "bb") #生成名为credit_rating的字符向量
> credit_factor <- factor(credit_rating) # step 2.将credit_rating转化为因子
> credit_factor
[1] bb aaa aa ccc aa aaa b bb 
levels: aa aaa b bb ccc
> str(credit_rating) #调用str()函数,显示credit_rating结构
 chr [1:8] "bb" "aaa" "aa" "ccc" "aa" "aaa" "b" "bb"
> str(credit_factor) #调用str()函数,显示credit_factor结构
 factor w/ 5 levels "aa","aaa","b",..: 4 2 1 5 1 2 3 4

2. levels( )

上述代码中第二个运行后得到了levals,用于显示不同的因子(不重复),上述代码运行一二行

>credit_rating <- c("bb", "aaa", "aa", "ccc", "aa", "aaa", "b", "bb") 
> credit_factor <- factor(credit_rating) # step 2.将credit_rating转化为因子
> credit_factor
[1] bb aaa aa ccc aa aaa b bb 
levels: aa aaa b bb ccc
> levels(credit_factor)
[1] "aa" "aaa" "b" "bb" "ccc"
>levels(credit_factor) <-c("2a","3a","1b","2b","3c")
> credit_factor
[1] 2b 3a 2a 3c 2a 3a 1b 2b
levels: 2a 3a 1b 2b 3c

3. factor 汇总:summary()函数

> summary(credit_rating)
 length  class  mode 
  8 character character 
> summary(credit_factor)
 aa aaa b bb ccc 
 2 2 1 2 1 

4. factor 可视化:plot()

# 使用plot()将credit_factor可视化
plot(credit_factor)
#> summary(credit_factor)
# aa aaa b bb ccc 
 # 2 2 1 2 1 

1

5. cut( )函数 对数据进行分组

>aaa_rank <- sample(seq(1:100), 50, replace = t)
> aaa_rank
 [1] 90 28 63 57 96 41 93 70 76 36 26 1 86 43 47 15 23 70
[19] 63 1 79 100 20 59 17 23 84 96 21 33 32 19 52 58 81 37
[37] 22 58 42 75 41 64 15 58 63 2 1 65 54 35
> # step 1:使用cut()函数为aaa_rank创建4个组
> aaa_factor <- cut(x = aaa_rank , breaks =c(0,25,50,75,100) )
> > aaa_factor 
 [1] (75,100] (25,50] (50,75] (50,75] (75,100] (25,50] (75,100] (50,75] 
 [9] (75,100] (25,50] (25,50] (0,25] (75,100] (25,50] (25,50] (0,25] 
[17] (0,25] (50,75] (50,75] (0,25] (75,100] (75,100] (0,25] (50,75] 
[25] (0,25] (0,25] (75,100] (75,100] (0,25] (25,50] (25,50] (0,25] 
[33] (50,75] (50,75] (75,100] (25,50] (0,25] (50,75] (25,50] (50,75] 
[41] (25,50] (50,75] (0,25] (50,75] (50,75] (0,25] (0,25] (50,75] 
[49] (50,75] (25,50] 
levels: (0,25] (25,50] (50,75] (75,100]
> # step 2:使用levels()按顺序将级别重命名
> levels(aaa_factor) <- c("low","medium","high","very_high")
> 
> # step 3:输出aaa_factor
> aaa_factor
 [1] medium medium very_high high  very_high high  high  
 [8] high  medium medium very_high high  medium very_high
[15] medium low  medium low  high  medium low  
[22] medium high  very_high very_high very_high medium very_high
[29] low  low  low  medium very_high low  very_high
[36] low  very_high low  low  high  medium medium 
[43] medium low  low  low  low  medium medium 
[50] medium 
levels: low medium high very_high
> 
> # step 4:绘制aaa_factor
> plot(aaa_factor)
> 

2

6. 删除元素 :- 表示删除

(1)-1:删除第一位的元素,-3:删除第三位的元素

(2)

> credit_factor
[1] bb aaa aa ccc aa aaa b bb 
levels: aa aaa b bb ccc
> # 删除位于`credit_factor`第3和第7位的`a`级债券,不使用`drop=true`
> keep_level <- credit_factor[c(-3,-7)]
> 
> # 绘制keep_level
> plot(keep_level)
> 
> # 使用相同的数据,删除位于`credit_factor`第3和第7位的`a`级债券,使用`drop=true`
> drop_level <-credit_factor[c(-3,-7),drop=true]
> 
> # 绘制drop_level
> plot(drop_level)
> 

7. 转换factor为string类型

>cash=data.frame(company = c("a", "a", "b"), cash_flow = c(100, 200, 300), year = c(1, 3, 2)) #创建数据框
>str(cash)
'data.frame': 3 obs. of 3 variables:
 $ company : factor w/ 2 levels "a","b": 1 1 2
 $ cash_flow: num 100 200 300
 $ year  : num 1 3 2

注意:创建数据框时,r的默认行为是将所有字符转换为因子

那么,如何在创建数据框时,不让r的默认行为执行呢?

采用 stringsasfactors = false

> cash=data.frame(company = c("a", "a", "b"), cash_flow = c(100, 200, 300), year = c(1, 3, 2),stringsasfactors=false) #创建数据框
> str(cash)
'data.frame': 3 obs. of 3 variables:
 $ company : chr "a" "a" "b"
 $ cash_flow: num 100 200 300
 $ year  : num 1 3 2

8. 创建有序factor类型:ordered=true

# 有序factor类型
credit_rating <- c("aaa", "aa", "a", "bbb", "aa", "bbb", "a")
credit_factor_ordered <- factor(credit_rating, ordered = true, levels = c("aaa", "aa", "a", "bbb"))
>credit_rating <- c("bb", "aaa", "aa", "ccc", "aa", "aaa", "b", "bb") 
> credit_factor <- factor(credit_rating) # step 2.将credit_rating转化为因子
> credit_factor #此时的credit_factor 无序
>ordered(credit_factor, levels = c("aaa", "aa", "a", "bbb"))

9. 删除因子级别时,采用drop=true

>credit_factor
[1] aaa aa a bbb aa bbb a 
levels: bbb < a < aa < aaa
>credit_factor[-1]
[1] aa a bbb aa bbb a 
levels: bbb < a < aa < aaa #可见,aaa还存在
>credit_factor[-1, drop = true] #完全放弃aaa级别
[1] aa a bbb aa bbb a 
levels: bbb < a < aa

以上为个人经验,希望能给大家一个参考,也希望大家多多支持。如有错误或未考虑完全的地方,望不吝赐教。