How do I prepare different txt files to analyse and compare the language used in texts i e sentences and paragraphs in RStudio

Question

Hi, I am quite new to using RStudio and I need some help getting language data into a processable format. My general interest relates to Natural Language Processing.

My data consists of different sets of texts, produced by different people.  I want to compare these sets, using e.g. the tokenizer and the Stylo() package. So I would like to see Text 1; 2; 3; 4 all by Person 1; and then Texts 1;2;3;4 by Person 2 etc.

I currently have each passage in a separate .txt file. I know how to import them; I know how to specify a working directory.

I would like to know:

1) how to get my data into a frame in RStudio so that I can identify and specify lines or texts for processing. When using Stylo(), my output is not organised in a way that I could, for example, identify which line belongs to which text and person.

Also,

2) When I simply import the data files and try to use tm(), for example,  I get an error message saying that there are more rows than data points in line 1.  Is this a major issue, if that is how the original data is structured?

Note that I cannot use CSV files as the data contains commas that are meaningful.

I'd appreciate any advice or directions to useful tutorials in this regard.

Thanks in advance.