I just bought this url this week (now, a couple of months have passed) and am intending to build a unique site devoted to giving you skills in statistics.
So, with the hundreds of statistics websites out there, what will be so unique about this one?
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)
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: http://cran.r-project.org/
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.
Please come back to this site soon. The content will be growing daily...
Contact me at: email@example.com