在R中无法打开CSV文件，遇重复行名错误求助

Hey there, let's fix that duplicate row names error you're hitting when reading your CSV in R! It's super frustrating when even setting row.names=NULL doesn't work, so let's walk through some solutions step by step.

Step 1: First, double-check your CSV file #

Before diving into R code, open up idtbest2.csv in a text editor (like Notepad++ or Excel) and look for these red flags:

• Are there duplicate values in the first column? Sometimes R might accidentally treat this as row names even if you don't specify it.
• Do you have any empty rows or duplicate full rows in the file?
• Is your header row intact—no missing or duplicated column names?

Step 2: Try more explicit read settings #

Let's tweak the read.csv() call to leave zero room for R to guess what's a row name. Try this code first:

idt <- read.csv(file = "C:/Users/R&K&T&E/Desktop/idtbest/idtbest2.csv",
                header = TRUE,
                sep = ",",
                row.names = NULL,
                check.rows = FALSE)

The check.rows=FALSE parameter turns off R's check for duplicate row values, which might let you read the file in so you can clean it up later.

If that still fails, use the more flexible read.table() function (which read.csv() is built on) with clear settings:

idt <- read.table(file = "C:/Users/R&K&T&E/Desktop/idtbest/idtbest2.csv",
                  header = TRUE,
                  sep = ",",
                  row.names = NULL,
                  quote = "\"",
                  stringsAsFactors = FALSE)

This gives you full control over how the file is parsed, avoiding any automatic assumptions R might make.

Step 3: Clean up duplicate rows (if that's the issue) #

If the problem is that your CSV has duplicate rows, you can read the file first (using the above tricks) then remove duplicates in R:

# After reading the file successfully
idt <- unique(idt)

Or, if you prefer, you can delete duplicate rows directly in your text editor before reading into R.

Step 4: Use a more forgiving package #

If base R's functions are still giving you grief, try the data.table package's fread() function—it's designed to handle messy CSV files with fewer headaches:

# First install the package if you haven't already
install.packages("data.table")
library(data.table)

idt <- fread("C:/Users/R&K&T&E/Desktop/idtbest/idtbest2.csv",
             header = TRUE,
             sep = ",",
             row.names = FALSE)

fread() is smarter about detecting file formats and won't throw errors for duplicate row names unless you explicitly tell it to.

内容的提问来源于stack exchange，提问作者tarık bost