R converts "[]" to ".." when reading CSV files

[SomeDude]

Hi, I need your help.

I try to read csv files, created with Libreoffice Calc, in UTF-8.
They contain scientific values with m in [kg] for example.

When I read the table with

T=read.csv("FILE",sep=",",header=TRUE,encoding="UTF-8")

It is displayed as m.in.kg.

What is the problem here?

[andresrcs]

Are you referring to column names? If so, R is "cleaning" the column names because R doesn't work well with non-syntactic variable names (e. g. m in [kg]).

You can force read.csv() to let variable names as they are, by setting the check.names argument to FALSE but have in mind that it would make it harder to work with your data.

T=read.csv("FILE",sep=",",header=TRUE,encoding="UTF-8", check.names = FALSE)

[SomeDude]

@andresrcs

make it harder to work with your data.

I set it, but it stays like that. When copying the csv content to a plain text file, the symbols stay, the separator is "TAB".

[andresrcs]

To help us help you, could you please prepare a reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…