The book emphasizes an estimation-based approach that takes account of recent criticisms of over-use of probability values and introduces the alternative approach using information criteria. The book is based on the use of the open-source R programming language for statistics and graphics that is rapidly becoming the lingua franca in many areas of science. Statistics is introduced through worked analyses performed in R using interesting data sets from ecology, evolutionary biology, and environmental science.
The data sets and R scripts are available as supporting material. Keywords: statistics , linear model analysis , estimation-based approach , probability values , information criteria , scientific data , R programming language. Forgot password? Don't have an account?
The New Statistics with R : An Introduction for Biologists - carmacuraci.gq
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Introduction ; 2. Comparing Groups: Analysis of Variance ; 3.
Comparing Groups: Student's t test ; 4. Linear Regression ; 5. Comparisons using Estimates and Intervals ; 6. Interactions ; 7.
The New Statistics With R – An Introduction for Biologists
Maximum Likelihood and Generalized Linear Models ; 9. Mixed Effects Models ; Generalized Linear Mixed-effects Models ; Final Thoughts ; Appendix 1: A very short introduction to the R programming language for statistics and graphics. Du kanske gillar.
Biologists in very statistics-intensive fields, such as ecology, epidemiology, and systematics, may find this handbook to be a bit superficial for their needs, just as a biologist using the latest techniques in 4-D, 3-photon confocal microscopy needs to know more about their microscope than someone who's just counting the hairs on a fly's back. But I hope that biologists in many fields will find this to be a useful introduction to statistics.
You may navigate through these pages using the "Previous topic" and "Next topic" links at the top of each page, or you may skip from topic to topic using the links on the left sidebar. I have provided a spreadsheet to perform many of the statistical tests. Each comes with sample data already entered; just download the spreadsheet, replace the sample data with your data, and you'll have your answer.
The spreadsheets were written for Excel, but they should also work using the free program Calc, part of the OpenOffice. If you're using OpenOffice. Let me know if you have a problem using one of the spreadsheets, and I'll try to fix it.
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I've also linked to a web page for each test wherever possible. I found most of these web pages using John Pezzullo's excellent list of Interactive Statistical Calculation Pages , which is a good place to look for information about tests that are not discussed in this handbook. There are instructions for performing each statistical test in SAS, as well.
It's not as easy to use as the spreadsheets or web pages, but if you're going to be doing a lot of advanced statistics, you're going to have to learn SAS or a similar program sooner or later. I've got a page on the basics of SAS. Salvatore Mangiafico has written An R Companion to the Handbook of Biological Statistics , available as a free set of web pages and also as a free pdf.
R is a free statistical programming language, useable on Windows, Mac, or Linux computers, that is becoming increasingly popular among serious users of statistics. Mangiafico's book provides example programs for nearly all of the statistical tests I describe in the Handbook, plus useful notes on getting started in R. While this handbook is primarily designed for online use, you may find it convenient to print out some or all of the pages. If you print a page, the sidebar on the left, the banner, and the decorative pictures cute critters, etc.
I'm not sure how well printing will work with various browsers and operating systems, so if the pages don't print properly, please let me know. I've used this print-on-demand service as a convenience to you, not as a money-making scheme, so please don't feel obligated to buy one.
go here You can also download a free pdf of the print version. The pdf has page numbers and a table of contents, so it may be a little easier to use than individually printed web pages. McDonald, J. Handbook of Biological Statistics, 3rd ed. Sparky House Publishing, Baltimore, Maryland. It's better to cite the print version, rather than the web pages, so that people of the future can see exactly what you were looking at. If you just cite a web page, it might be quite different by the time someone looks at it a few years from now.
If you need to see what someone has cited from an earlier edition, you can download pdfs of the first edition or the second edition.