Problem with plots running principal component analysis with FactoMineR

[bpiccir]

Hi there, I'm a new user of R and Rstudio. I was running a principal component analysis using FactoMineR and I noticed that the plots generated by the analysis were all wrong. For example, in the circle of correlations the names of the vectors where all misplaced. I believe this has something to do with my computer, a microsoft surface book2, because i ran a PCA on another computer and it worked perfectly.

Thank you all for the attention

[andresrcs]

Hi, welcome!

We don't really have enough info to help you out. Could you ask this with a minimal REPRoducible EXample (reprex)? A reprex makes it much easier for others to understand your issue and figure out how to help.

If you've never heard of a reprex before, you might want to start by reading this FAQ:

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 0.2…

[bpiccir]

Thank you, I'm trying to make a proper reprex of my issue. Is it possible to include also images in the reprex using the reprex package?

[andresrcs]

Plots generated by the code run through the reprex() function are going to be automatically included, if that is what you mean.