Religion is a categorical variable with followers differentiated by their degree of devotion. Liberals and conservatives check their respective boxes when surveyed, although moderates from each group sometimes seem more alike than their more extreme co... [Read more...]

Hadley Wickham and the RStudio team have created some new packages for R, which will be very useful for anyone who needs to read data into R (that is, everyone). The readr package provides functions for reading text data into R, and the readxl package provides functions for reading Excel ... [Read more...]

At our most recent R user group meeting we were delighted to have presentations from Mark Lawson and Steve Hoang, both bioinformaticians at Hemoshear. All of the code used in both demos is in our Meetup’s GitHub repo.Making heatmaps in RSteve started with an overview of making heatmaps ... [Read more...]

Today, data.tree 0.1.6 was published to CRAN. It lets you manage hierarchical data, convert to and from data.frame, and OO-style decorate nodes in your tree with functions and attributes. Read the ID3 example, or the introduction vignette for more info... [Read more...]

Several weeks ago we introduced the drat package. Its name stands for drat R Archive Template, and it helps with easy-to-create and easy-to-use repositories for R packages. Two early blog posts describe drat: First Steps Towards Lightweight Repositor... [Read more...]

SummaryThe common case in data science or machine learning applications, different features or predictors manifest them in different scales. This could bring difficulty in interpreting the resulting coefficients of linear regression, such as one featur... [Read more...]

I’ve always liked the jQuery Sparklines library and today I had a use case for implementing these in one of my Rmarkdown reports. While it wouldn’t be too difficult to staticly include a javascript based chart, ideally I would simply want to dynamically generate the sparkline using values ... [Read more...]

** This is a modified version of a previous R benchmark that was done back in 2011. Click this link to see the original post. After using R for quite some time, you get to know a little bit about its strengths and weaknesses. It structures data very well and has a ... [Read more...]

It is now exactly 12 months since the print version of my forecasting textbook with George Athanasopoulos was released on Amazon.com. Although the book is freely available online, it seems that a lot of people still like to buy print books. It’s nice to see that it has been ... [Read more...]

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As an R programmer have you every wondered what can be in a data.frame column? The documentation is a bit vague, help(data.frame) returns some comforting text including: Value A data frame, a matrix-like structure whose columns may be of differing types (numeric, logical, factor and character and ... [Read more...]

Stata 14 has just been released. The new and big thing with version 14 is the introduction of Bayesian Statistics. A wide variety of new models can now be estimated with Stata by combining 10 likelihood models, 18 prior distributions, different types of outcomes, and multiple equation models. Stata has also made available a 255... [Read more...]

If you have visited recently my website, Bluelytics, you will notice there is a new section named "Predicción", which is a forecast of the value of the Blue Dollar in a 12-month horizon. You can find it at http://bluelytics.com.ar/#/forecast You will find that it has ... [Read more...]

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by Joseph Rickert A recent post by David Smith included a map that shows the locations of R user groups around the world. While is exhilarating to see how R user groups span the globe, the map does not give any idea about the size of the community at each ... [Read more...]

A few weeks ago, I published a post on Visualising a Classification in High Dimension, based on the use of a principal component analysis, to get a projection on the first two components. Following that post, I was wondering what could be done in the context of a classification on ... [Read more...]

The Gaussian and the (log) Poisson regressions share a very interesting property, i.e. the average predicted value is the empirical mean of our sample. __ mean(predict(lm(dist~speed,data=cars))) [1] 42.98 __ mean(cars$dist) [1] 42.98 One can prove that it is also the prediction for the average individual in our ... [Read more...]

R is getting popular programming language in the area of Data Science. Integrating Rscript with web UI pages is a challenge which many application developers are facing. In this blog post I will explain how we can expose R script as an API, using rApache and Apache webserver. rApache is ... [Read more...]

I am planning to finish school soon and I would like to shed some weight before moving on. I have collected a fair number of books that I will likely never use again and it would be nice to get some money for them. Sites like Amazon and eBay let ... [Read more...]

I am proud to announce a new Win-Vector LLC statistics video course: Campaign Response Testing John Mount, Win-Vector LLC This course works through the very specific statistics problem of trying to estimate the unknown true response rates one or more populations in responding to one or more sales/marketing campaigns ... [Read more...]