### Technical Analysis of Kansas Voter Registration Data

Computer Assisted Reporting [Note: Many of the links attached to images below are not working correctly.] This article describes technical analysis of the Kansas voter [...] [Read more...]

Computer Assisted Reporting [Note: Many of the links attached to images below are not working correctly.] This article describes technical analysis of the Kansas voter [...] [Read more...]

Computer Assisted Reporting This technical note describes manipulation/analysis of Wisconsin voter registration data from June 2011. Wisconsin voter registration data can be purchased from the Wisconsin Government Accountability Board for $12,500, whic... [Read more...]

There are a number of good open source projects for statistics and data mining, for example the software WEKA developed at the University of Waikato. The description on their website states that: Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied ... [Read more...]

As many people are aware Hans Rosling is an enthusiastic swedish academic with a passion for statistics who recently presented the program The Joy of Stats. One of the great things about Hans Rosling is his presentations and the interactive graphics that he uses to make his points. Fast Tube ... [Read more...]

Central Limit Theorem
A nice illustration of the Central Limit Theorem by convolution.in R:
Heaviside 0,1,0) }HH [Read more...]

The bottom line of this post is for you to go to: Stack Exchange Q&A site proposal: Statistical Analysis And commit yourself to using the website for asking and answering questions. (And also consider giving the contender, MetaOptimize a visit) * * * * Statistical analysis Q&A website is about to go ... [Read more...]

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 ... [Read more...]

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 ... [Read more...]

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
... [Read more...]

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 ... [Read more...]

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 ... [Read more...]

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 ... [Read more...]

The R software is very powerful and flexible but one of the complaints of new users is that the learning curve is steep and can be daunting. There have been various projects to create GUIs for R with varying levels of sophistication, one of which is R Commander by John ... [Read more...]

extrapolation and interpolation
The most important lesson I learned from this book: regression is reliable for interpolation, but not for extrapolation. Even further, your observations really need to cover the whole gamut of causal variables, inter... [Read more...]

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