Let's explore factor analysis again, this time using the R ability to tap into OOP, but we won't use the RC model.
- By James McCaffrey
- 05/02/2017
Let's use this classical statistics technique -- and some R, of course -- to get to some of the latent variables hiding in your data.
- By James McCaffrey
- 03/16/2017
Find the patterns in your data sets using these Clustering.R script tricks.
- By James McCaffrey
- 02/01/2017
The S3 OOP model is still widely used, so let's use write S3-style OOP code via the R language.
- By James McCaffrey
- 01/10/2017
I predict you'll find this logistic regression example with R to be helpful for gleaning useful information from common binary classification problems.
- By James McCaffrey
- 12/07/2016
The R language simplifies the creation of neural network classifiers with an add-on that lays all the groundwork.
- By James McCaffrey
- 11/10/2016
The R language can be used to perform a sign test, which is handy for comparing "before and after" data.
- By James McCaffrey
- 10/05/2016
A language that's data-intensive naturally should have a way to dig into the data effectively. Here's a look at some of the R functions for searching and sorting through it all.
- By James McCaffrey
- 09/08/2016
Vectors, lists, arrays, matrices and data frames -- a look at five of the most fundamental data structures built into R.
- By James McCaffrey
- 08/10/2016
R has limited support for mathematical permutations, but it's there. Here's what R is capable of accomplishing.
- By James McCaffrey
- 07/12/2016
It's not quite like C# or Python, but the R language's object-oriented programming capabilities are getting better with each iteration. Let's take a look at what .NET developers are able do now with OOP in R6.
- By James McCaffrey
- 06/16/2016
New to this type of analysis? It's a classic statistics technique that is still useful. Here's a technique for doing a one-way ANOVA using R.
- By James McCaffrey
- 05/04/2016
The three most common open source technologies for writing data science programs are Python, SciLab, and R. Here's how to write program-defined functions in R.
- By James McCaffrey
- 04/12/2016
R is the perfect language for creating a variety of chi-square tests, which are used to perform statistical analyses of counts of data. Here's how, with some sample code.
- By James McCaffrey
- 03/02/2016
Linear regression was easy, right? Now, let's check out t-test analysis using R.
- By James McCaffrey
- 02/02/2016