从数据框中删除所有引号

时间:2014-02-09 10:50:29

标签: r dataframe removeall quotation-marks

我的数据框rep如下所示:

> head(rep)
     position chrom  value label  
[1,] "17408"  "chr1" "0"   "miRNA"
[2,] "17409"  "chr1" "0"   "miRNA"
[3,] "17410"  "chr1" "0"   "miRNA"
[4,] "17411"  "chr1" "0"   "miRNA"
[5,] "17412"  "chr1" "0"   "miRNA"
[6,] "17413"  "chr1" "0"   "miRNA"

如何从所有元素中删除引号?

注意:rep$positionrep$value应为numeric类型,rep$chromrep$label应为character类型。

3 个答案:

答案 0 :(得分:9)

两个步骤:1)去除引号,2)相应地转换列:

数据

x <- read.table(text='
position chrom  value label  
"\\"17408\\""  "\\"chr1\\"" "\\"0\\""   "\\"miRNA\\""
"\\"17409\\""  "\\"chr1\\"" "\\"0\\""   "\\"miRNA\\""'
, header=T)

1)摆脱引号

library(stringr)
library(plyr)

del <- colwise(function(x) str_replace_all(x, '\"', ""))
x <- del(x)

2)相应地转换列

num <- colwise(as.numeric)    
x[c(1,3)] <- num(x[c(1,3)])
x

  position chrom value label
1    17408  chr1     0 miRNA
2    17409  chr1     0 miRNA

答案 1 :(得分:6)

如@Roland所示,您有一个matrix,而不是data.frame,这些方法有不同的默认print方法。坚持使用matrix,您可以在quote = FALSE中明确设置print,也可以使用noquote

这是一个基本的例子:

## Sample data
x <- matrix(c(17, "chr1", 0, "miRNA", 18, "chr1", 0, "miRNA"), nrow = 2, 
            byrow = TRUE, dimnames = list(
              NULL, c("position", "chrom", "value", "label")))

## Default printing
x
#      position chrom  value label  
# [1,] "17"     "chr1" "0"   "miRNA"
# [2,] "18"     "chr1" "0"   "miRNA"

## Two options to make the quotes disappear
print(x, quote = FALSE)
#      position chrom value label
# [1,] 17       chr1  0     miRNA
# [2,] 18       chr1  0     miRNA
noquote(x)
#      position chrom value label
# [1,] 17       chr1  0     miRNA
# [2,] 18       chr1  0     miRNA

另外,正如您自己想出的那样,将matrix转换为data.frame会使引号消失。如果每列是不同类型的数据(数字,字符,因子等),data.frame是一种更适合保存数据的结构。但是,将matrix转换为data.frame并不会自动为您转换列。相反,您可以使用type.convert(在使用data.frame和系列创建read.table时也会使用):

y <- data.frame(x, stringsAsFactors = FALSE)
str(y)
# 'data.frame':  2 obs. of  4 variables:
#  $ position: chr  "17" "18"
#  $ chrom   : chr  "chr1" "chr1"
#  $ value   : chr  "0" "0"
#  $ label   : chr  "miRNA" "miRNA"
y[] <- lapply(y, type.convert)
str(y)
# 'data.frame':  2 obs. of  4 variables:
#  $ position: int  17 18
#  $ chrom   : Factor w/ 1 level "chr1": 1 1
#  $ value   : int  0 0
#  $ label   : Factor w/ 1 level "miRNA": 1 1
y
#   position chrom value label
# 1       17  chr1     0 miRNA
# 2       18  chr1     0 miRNA

答案 2 :(得分:2)

我想我找到了答案。我所拥有的不是data.frame而是矩阵。将它转换为data.frame摆脱了引号。我仍然想知道为什么......

rep <- data.frame(rep)
> head(rep)
  position chrom value label
1    17408  chr1     0 miRNA
2    17409  chr1     0 miRNA
3    17410  chr1     0 miRNA
4    17411  chr1     0 miRNA
5    17412  chr1     0 miRNA
6    17413  chr1     0 miRNA