在R中的数据帧的列中查找每个字符串的长度

时间:2015-03-10 07:22:18

标签: r dataframe string-length

我希望计算name列的每个字符串的字符数。我的数据框sample如下所示:

date        name           expenditure      type
23MAR2013   KOSH ENTRP     4000             COMPANY
23MAR2013   JOHN DOE       800              INDIVIDUAL
24MAR2013   S KHAN         300              INDIVIDUAL
24MAR2013   JASINT PVT LTD 8000             COMPANY
25MAR2013   KOSH ENTRPRISE 2000             COMPANY
25MAR2013   JOHN S DOE     220              INDIVIDUAL
25MAR2013   S KHAN         300              INDIVIDUAL
26MAR2013   S KHAN         300              INDIVIDUAL

为什么nchar给我一个随机数列表?来自str_length()

stringr也是如此
Length <- aggregate(nchar(sample$name), by=list(sample$name), FUN=nchar)

输出

         Group.1       x
1 JASINT PVT LTD       2
2       JOHN DOE       1
3     JOHN S DOE       2
4     KOSH ENTRP       2
5 KOSH ENTRPRISE       2
6         S KHAN 1, 1, 1

期望的输出:

     Group.1       x
1 JASINT PVT LTD       14
2       JOHN DOE       8
3     JOHN S DOE       10
4     KOSH ENTRP       10
5 KOSH ENTRPRISE       14
6         S KHAN       6

上表的csv:

"Date","name","expenditure","type"
"23MAR2013","KOSH ENTRP",4000,"COMPANY"
"23MAR2013 ","JOHN DOE",800,"INDIVIDUAL"
"24MAR2013","S KHAN",300,"INDIVIDUAL"
"24MAR2013","JASINT PVT LTD",8000,"COMPANY"
"25MAR2013","KOSH ENTRPRISE",2000,"COMPANY"
"25MAR2013","JOHN S DOE",220,"INDIVIDUAL"
"25MAR2013","S KHAN",300,"INDIVIDUAL"
"26MAR2013","S KHAN",300,"INDIVIDUAL"

3 个答案:

答案 0 :(得分:3)

如果“所需输出”中的最后一行是拼写错误,

 aggregate(name~name1, transform(sample, name1=name),
                         FUN=function(x) nchar(unique(x)))
 #            name1 name
 #1 JASINT PVT LTD   14
 #2       JOHN DOE    8
 #3     JOHN S DOE   10
 #4     KOSH ENTRP   10
 #5 KOSH ENTRPRISE   14
 #6         S KHAN    6

或者

 Un1 <- unique(sample$name)
 data.frame(Group=Un1, x=nchar(Un1))

答案 1 :(得分:2)

您还可以apply nchar添加到您的数据框,并从相应的列中获取结果:

data.frame(names=temp$name,chr=apply(temp,2,nchar)[,2])
      names chr
1     KOSH ENTRP  10
2       JOHN DOE   8
3         S KHAN   6
4 JASINT PVT LTD  14
5 KOSH ENTRPRISE  14
6     JOHN S DOE  10
7         S KHAN   6
8         S KHAN   6

答案 2 :(得分:2)

或者,使用data.table

dtx[,PepSeqLen := nchar(PepSeq)]