删除“"从CSV值开始，并在写入CSV时更改列名称 [英] Delete "" from csv values and change column names when writing to a CSV

问题描述

我正在尝试从R表创建csv文件.但是我不明白为什么所有的价值观都会得到 当我使用write.csv()函数时，用"检查.我的数据如下:

I'm trying to create csv files out of an R table. But i cant understand why all the values get checked with "" when i use the write.csv() function. my data looks like this:

        Sample  Sample_Name Sample_Group    Pool_ID Sample_Plate    NorTum  Sentrix_ID    Sentrix_Position  HybNR
    1   00_11242    00_24200N2  MUTYH   GS0005703-OPA   GS0010004-DNA   N     1280307   R007_C005   1
    2   00_11242    00_24200N2  MUTYH   GS0005704-OPA   GS0010004-DNA   N   1280307 R007_C011   1
    3   00_11242    00_24200N2  MUTYH   GS0005702-OPA   GS0010004-DNA   N   1416198 R007_C011   2
    4   00_11242    00_24200N2  MUTYH   GS0005701-OPA   GS0010004-DNA   N   1416198 R007_C005   2
    5   00_7    00_7T   MUTYH   GS0005701-OPA   GS0010004-DNA   T   1416198 R006_C005   2
    6   00_7    00_7T   MUTYH   GS0005702-OPA   GS0010004-DNA   T   1416198 R006_C011   2
    7   00_7    00_7T   MUTYH   GS0005704-OPA   GS0010004-DNA   T   1280307 R006_C011   1
    8   00_7    00_7T   MUTYH   GS0005703-OPA   GS0010004-DNA   T   1280307 R006_C005   1
    9   01_677  01_677N HNPCC_UV    GS0005701-OPA   GS0010004-DNA   N   1416198 R002_C006   2
    10  01_677  01_677N HNPCC_UV    GS0005704-OPA   GS0010004-DNA   N   1280307 

在CSV格式的输出文件中，每个值如下所示:

And in the output file which is a CSV every value looks like this:

"100" "R05_80611" "R05_80611N" "NA_FAM" "GS0005701-OPA" "GS0010004-DNA" "N" 1416198 "R003_C006" 2

该函数为什么要在我的值两边加上引号，并且有一种快速执行此操作的方法.

Why is the function putting quotes around my values and is there a way to quickly do this.

我还想知道在写入CSV文件时如何更改列名，但是由于我是一个入门者，所以我不知道如何执行此操作.

I'm also wondering how I can change my column names when writing to CSV files but since i`m a starter I've no clue on how to do this.

推荐答案

请参见手册默认情况下引用字段的理由是包含逗号的未引用字段将被误解.

The justification for quoting the fields by default is that unquoted fields containing commas will be misinterpreted.

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