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Muenchen R has a reputation of being hard to learn. Some of that is due to the fact that it is radically different from other analytics software. Some is an unavoidable byproduct of its extreme power and flexibility.

And, as with any software, some is due to design decisions that, in hindsight, could have been better. If you have experience with other data science tools, you may at first find R very alien. Training and documentation that leverages your existing knowledge and which points out where your previous knowledge is likely to mislead you can save much frustration. This is the approach I use in my books, and as well as in the that are based on those books. Below is a list of complaints about R that I commonly hear from people taking my R workshops. By listing these, I hope R beginners will be forewarned, will become aware that many of these problems come with benefits, and may consider the solutions offered by the add-on packages that I suggest. Wiring A House For Pros By Pros Pdf Download more.