最优雅的方式加载csv与点作为千位分隔符在R | 最优雅的方式加载csv与点作为千位分隔符在R

本文介绍了最优雅的方式加载csv与点作为千位分隔符在R的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！

问题描述

注意：据我所知，这个问题不是重复的！我发现的所有任务/答案都是如何消除已经在R中的数据中的点，或如何在加载时将小数点改为逗号。

NB: To the best of my knowledge this question is not a duplicate! All the questios/answers I found are either how to eliminate points from data that are already in R or how to change the decimal point to a comma when loading it.

我有一个csv，数字如： 4.123,98 。问题是，由于。的输出成为一个字符串矩阵加载 read.table ， read.csv 或 read.csv2 。将 dec 更改为，不起作用。

I have a csv with numbers like: 4.123,98. The problem is that because of the . the output becomes a character string matrix when loading with read.table, read.csv or read.csv2. Changing dec to , doesn't help.

我的问题

什么是最优雅的方式加载此csv，以便数字变成例如 4123.98 为数字？

推荐答案

#some sample data
write.csv(data.frame(a=c("1.234,56","1.234,56"),
                     b=c("1.234,56","1.234,56")),
          "test.csv",row.names=FALSE,quote=TRUE)

#define your own numeric class
setClass('myNum')
#define conversion
setAs("character","myNum", function(from) as.numeric(gsub(",","\\.",gsub("\\.","",from))))

#read data with custom colClasses
read_data=read.csv("test.csv",stringsAsFactors=FALSE,colClasses=c("myNum","myNum"))
#let's try whether this is really a numeric
read_data[1,1]*2

#[1] 2469.12

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