I have never used R stat before, because of the requirement of knowing programming language. But apparently, it is the only freely available program for statistics. I used SAS a couple of times. I mostly use JMP, which is a menu driven user-friendly program. However, I will not have access to JMP anymore and I want to learn how to use the free one, R/R-studio.
Please suggest a good material for learning how to design and analyze different settings of research. Thank you!
Suggest you try GOOGLE. There are many resources out there. D. Booth
For statistical analysis you can use this book. It's free
https://www.springer.com/la/book/9780387922973
The R program is named R packages, so each pack has its own style.
After identifying the general principles for R language, I recommend that you select a research point then search for its application by using R packages.
See this:
https://www.researchgate.net/publication/270510863_STATISTICAL_ANALYSIS_USING_R?_sg=O4bW5VYi2Mi6NETKRnMdomUoIYXYbLrthNl7Gi2bziGGzqevUiBCvEitRKhIlYMOm_mhhiK6Dn_Lsw.wKN37L-yygTidVMZ0SfebW0xqGxapYZOAxxeFsLxfi1Cvk-kGxsonP2DhwsYsjxRqthbbvFaDzn0HUhAzHka_A&_sgd%5Bnc%5D=0&_sgd%5Bncwor%5D=0
I think r documentation is the best stat. tolls helper https://www.rdocumentation.org/
Please see the attached file!
Actually, I have learned a lot about the basics for R via reading, watching videos, and practicing step by step. However, I still consult a statistician for the accuracy of selecting some models before publishing my results. According to the suggestions, I go deeply to intensify my knowledge in the selected model. If you do so, by the time, you will learn R while you are practicing and publishing your results.
Therefore, I would suggest you participating at least one time in a course for R to have a close connection with a statistician that can consult you later. Otherwise, you will invest a lot of time alone, but it worth it.
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