From July 20-23, this year's use R! conference took place in Gaithersburg near Washington. I attended the conference as part of my holidays in the
U.S. and had a good time there. I met some people, even though that is not the easiest thing for me to do, and I got some inspirations and ideas
I outline below:
One...
G Jay Kerns has published a 400+ page introductory text on Probability and Statistics. All of the examples and illustrations are done using R (as Jay puts it, "The people at the party are Probability and Statistics; the handshake is R") so if you want to brush up on your probability and learn R at the same time, this...
Jay Kerns wrote a book titled "Introduction to Probability and Statistics Using R" or IPSUR for short. He has put up a web site for the book and Rcmdr plugin. There are at least two very important points from my side (I did not read the book, yet): 1. ...
Jay Kerns wrote a book titled "Introduction to Probability and Statistics Using R" or IPSUR for short. He has put up a web site for the book and Rcmdr plugin. There are at least two very important points from my side (I did not read the book, yet): 1. ...
Two way analysis of variance models can be fitted to data using the R Commander GUI. The general approach is similar to fitting the other types of model in R Commander described in previous posts. Fast Tube by Casper The “Statistics” menu provides access to some analysis of variance models via the “Means” sub-menu: Multi-way ANOVA – the
One way analysis of variance models can be fitted to data using the R Commander GUI. The general approach is similar to fitting the other types of model in R Commander described in previous posts. Fast Tube by Casper The “Statistics” menu provides access to some analysis of variance models via the “Means” sub-menu: One-way ANOVA – the
We can use the R Commander GUI to fit logistic regression models with one or more explanatory variables. There are also facilities to plot data and consider model diagnostics. The same series of menus as for linear models are used to fit a logistic regression model. Fast Tube by Casper The “Statistics” menu provides access to various
We can fit various linear regression models using the R Commander GUI which also provides various ways to consider the model diagnostics to determine whether we need to consider a different model. Fast Tube by Casper The “Statistics” menu provides access to various statistical models via the “Fit models” sub-menu including: Linear regression – the simplest scenario with
The R Commander GUI can be used to perform classical hypothesis testing. There are menu options to undertake the variants on the t-test as well as tests on proportions or equality of variances for two samples of data. Fast Tube by Casper The “Statistics” menu provides access to various hypothesis tests via the “Means” sub-menu including: Single sample
Previously we considered the R Commander interface as a simple GUI for the R statistical software system. Here we will look at how to undertake data manipulation and creating basic statistical summaries of data sets. Fast Tube by Casper The R Commander GUI has two menus “Data” and “Statistics” that are used for manipulating data sets and
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
