I've had a similar experience from the opposite side. I've had quite a few years of experience in Python and had to work in R for an internship during my masters.
My impression was that it's pretty easy to do straightforward things like the examples described in the article. But when you have to do complicated or unusual things with your data I found it very frustrating to work with. Access to the underlying data was often opague and it was difficult to me at times to figure out what was happening under the hood.
Does anyone here know any research areas still using R?
My impression was that it's pretty easy to do straightforward things like the examples described in the article. But when you have to do complicated or unusual things with your data I found it very frustrating to work with. Access to the underlying data was often opague and it was difficult to me at times to figure out what was happening under the hood.
Does anyone here know any research areas still using R?