Today I have found myself needing to upgrade R. Main reason was that my current version R-3.2.1 did not support some new graphic packages. To install these new packages I needed at least a R-3.3 version.
After a bit of initial hesitation (will I lose my packages during the new installation? etc. etc.) I finally took some courage and decided to follow the official documentation on CRAN. Everything worked just fine and I have now installed the latest available R version on CRAN: at the time I write this post it´s R-3.3.1.
The upgrading process was really easy, so I thought to share it step by step. Enjoy :)
Showing posts with label tutorial. Show all posts
Showing posts with label tutorial. Show all posts
Jun 23, 2014
Performing ANOVA Test in R: Results and Interpretation
When testing an hypothesis with a categorical explanatory variable and a quantitative response variable, the tool normally used in statistics is Analysis of Variances, also called ANOVA.
In this post I am performing an ANOVA test using the R programming language, to a dataset of breast cancer new cases across continents.
The objective of the ANOVA test is to analyse if there is a (statistically) significant difference in breast cancer, between different continents. In other words, I am interested to see whether new episodes of breast cancer are more likely to take place in some regions rather than others.
Beyond analysing this specific breast cancer dataset, I hope with this post to create a short tutorial about ANOVA and how to do simple linear models in R.
Subscribe to:
Posts (Atom)