Comments and changes to the site for 2020

It looks like I get around to updating this site about once a year. That is not enough. The coming year, 2020, will be different. I am now retired. After 45 years of mathematical modelling and statistics, it is time to retire and do some of the modelling and statistics that I have always wanted to do, but haven't had enough time because of work (figure that).

Looking back at some of the criticisms mentionned in the 2019 update:

Some compliments have been (Thanks, I'm leaving this is, just to brag).:

Since there are so many statistics sites out there, as promised in 2019 a "review" page has been added. Here we look at some sites that are well done and useful. This review page is under development, so come back often to check it out in 2020.

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, but the principles will remain true everywhere else. The overview page is REALLY under construction, so thank you for bearing with us.

Original motivations and objectives:

  1. Well, first, it is free (but there are free ones out there already)
  2. There are videos showing how to do things in addition to the usual text (which is 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).

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)

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.

Click here to have a look at my personal website:

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

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