在read.csv中指定colClasses [英] Specifying colClasses in the read.csv

问题描述

我试图在R中的 read.csv 函数中指定 colClasses 选项。第一列时间基本上是字符向量，而其余列是数字。

  data < csv（test.csv，comment.char =，
 colClasses = c（time =character，numeric），
 strip.white = FALSE）
  

在上面的命令中，我希望R在time列中读取为character，其余为数字。虽然，数据变量在命令完成后具有正确的结果，R返回以下警告。我想知道如何可以解决这些警告？


 警告消息：
 1：在read.table（file = file，header =不是所有在'colClasses'中命名的列都存在
 2：在tmp [i [i> 0L]]中< -  colClasses：
 number要替换的项目不是替换长度的倍数
  

Derek

rest 为5：

colClasses向量的长度必须等于导入列的数量。

  colClasses = c（character，rep（numeric，5））
  pre> 
I am trying to specify the colClasses options in the read.csv function in R. In my data, the first column "time" is basically a character vector while the rest of the columns are numeric.
data <- read.csv("test.csv", comment.char="" , 
                 colClasses=c(time="character", "numeric"), 
                 strip.white=FALSE)
In the above command, I would want R to read in the "time" column as "character" and the rest as numeric. Although, the "data" variable did have the correct result after the command completed, R returned the following warnings. I am wondering how I could fix these warnings? 
Warning messages:
 1: In read.table(file = file, header = header, sep = sep, quote = quote,  :
    not all columns named in 'colClasses' exist
 2: In tmp[i[i > 0L]] <- colClasses :
    number of items to replace is not a multiple of replacement length
Derek
解决方案
The colClasses vector must have length equal to the number of imported columns. Supposing the rest of your dataset columns are 5:
colClasses=c("character",rep("numeric",5))


                        
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