I wanted to learn how to use smashwords, for reasons completely unrelated to this blog, SAS or statistics, but I thought it would go much faster if I had an actual project to work on.
I considered writing a serious book for researchers on SAS Enterprise Guide, but then I decided that I did not want to do it badly enough to put in the amount of work required. If you are doing something pointy- and-clicky like SAS Enterprise Guide, you need screenshots, and at a lot higher resolution than for the web.
Also, my experience with publishers and editors has revealed that they have actual standards and they ask questions like,
“Why do you have a picture of two naked mole rats on page 42?”
and are seldom satisfied with extremely logical answers like,
“I had a picture of one naked mole rat, but he looked lonely. Or she looked lonely. I’m not really clear on the gender differences.”
So, enter Plan B …. I got to thinking (yes, it does happen), that I have written several things on moving from beyond basics with SAS and I already have the screen shots and the output. Furthermore, I think the resolution does not need to be any higher than what I already have. So, my plan is to edit and put together several papers I have written into an approximately 200 page book. It is theoretically possible that people might buy it, but even if they don’t, it is highly probable (p > .79 ) that I will learn how to use smashwords . My next step after that is learning how to publish for Kindle on the Amazon site.
The title of the book is “Beyond SAS Basics: Tips, Statistics and a Naked Mole Rat”
Here is my table of contents
Part I – After the DATA Step
Beyond the Basics: Statements, formats and functions
Beyond the Basics: New procedures and some new twists on old procedures
Beyond the Basics: Making your output look like it was done by a grown-up
Part 2 – Statistics OR Math is not hard, well, it’s easier than unemployment
Logistic Regression – for when your data really do fit in neat little boxes
Repeated Measures Analysis of Variance – control group, experimental group, yada yada yada
Part 3 – Data Quality : Garbage in- garbage out & no one wants to pay you for garbage
Checking if your data blow with SAS Enterprise Guide
1, 2, 3 , 4 Data quality procedures
Part 4 – A little bit of macro
An introduction to macros with the STRT macro that I just made up
Super-duper useful data quality macro
Part 5 – Where do you go from here
A rambling map of SAS resources
A naked mole rat
What do you think?