Experimental design, power and statistics for in vivo behavioural scientists
  • Downloding and installing R
  • Designing Experiments
  • Power Analysis
  • Planning Data Analysis
  • Data analysis
So, you've planned and run your experiment, entered your data in the appropriate way and you are ready to go! If you have not yet entered your data, or you have not had a look at these pages, go to the 'planning your data analysis' section on this site. This will help you decide what test is best, and how to enter the data for R. Here, you will find step-by-step guides on how to carry out your analysis. Click on one of the link below, and you will see how to run the tests in R, including diagnostic tests to ensure you are doing the right thing. I have also included various other options, should you need them (transformations, non-parametric tests, etc.).
Descriptive statistics
Chi-squared test
T-test
ANOVA/ANCOVA
Regression/correlation
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