Comments and changes to the site for 2019

Too much time has passed since the last update of the site. This delay is primarily due to unclear objectives and mission for the site.

Some criticisms have been:

Some compliments have been:

For any given statistical topic we have chosen to present, there are better sites for the theory and for the applications programming. So, a service that will be added in 2017 is a "review" page where the best sites in statistics that we have found will be presented. This addition is the major one for the year.

On the "Overview" page, there is a general presentation of how to choose statistical methods. The orientation, in fact everything here, is heavily influenced by biostatistical work in the pharmaceutical industry.

Since SAS now has a free version, at sometime in the future, it will be added to this site.

This link will take you to the table of contents.
Please note: Unit 1 is on this page. This link will take you there.

Original motivations and objectives:

  1. Well, first, it is free (but there are free ones out there already)
  2. There will be videos showing how to do things in addition to the usual text (which will be minimized)
  3. Jargon will be avoided as much as possible, but this is NOT A SITE FOR DUMMIES ! You are not a dummy just because you are not yet a statistics geek.
  4. I will focus on showing you how to arrange your data and perform / interpret the analyses
  5. Topics will arise naturally, as we need them, and not in a fixed prescriptive order...

So, with all the people out there putting up websites, how do you judge the quality of what you are getting? GREAT QUESTION ! I will give references for everything that I claim, and for my own personal background, I am including my personal web page below (after the video).

Now I have installed a "Table of Contents", so go there if you are already familiar with this page. Thanks!

To get started, we will need software that does statistics. One that is good, and free, is called "R". The video below is a "warts and all" (ie "fumbling around included") demonstration of how to get R onto your computer.

Note that my computer is a PC. I wish I had a Mac, but I don't. If you have a Mac and you want to see a corresponding video with the Mac, you'll have to wait until I get one... (sorry)

Unit 1: This is the first video:

In this video, we look at how to download and install and run R, our (free) statistics platform.

We also look at some basic statistics:

Review and commments on video 1:

In my opinion, the documentation for R is bad. If you already know R, the documentation is ok - just ok. Every time I am away from R for a while and come back, my learning curve is just as steep as the first (many) times. So, this website is for me as much as it is for you. I want to be able to get into R as quickly as I can, remember the basic basics and get up and running as fast as possible -- with things that work. Because of the inadequacy of the R documentation for learning, there are many books on the market. But the majority are very expensive and the quality is unknown before buying, and then it may be too late. I'll stop complaining there. I hope this first video helps you get started.

The important thing is to remember the R website - so here it is:

The next most important thing is: once R is installed, where is it going to go to get and store my things (files, etc.). This is called the workspace, or the work directory. From the command line in R, you can get it by typing getwd() . Under "files" you will find a place to click to change the workspace to be whereever you want it to be.

This is my personal website:

Please come back to this site soon. The content will be growing daily...

Contact me at:

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