Although geared towards novice users, this material can be of interest to all users. Popular topics in this reprt include the use of PROC REPORT, SAS Styles, Templates and ODS, as well as a variety of techniques used to produce SAS results in Microsoft Excel, Powerpoint, and other Office Applications. MuenchenR 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, R for SAS repor SPSS Users and R for Stata Users, as well as in the workshops that xas based on those books.Below trainong 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 a.