The standard OLS (Ordinary Least Squares) model explains the relationship between independent variables and the conditional mean of the dependent variable. In contrast, quantile regression models this relationship for different quantiles of the dependent variable. In this exercise set we will use the quantreg package (package description: here) to implement ... [Read more...]

Python has a fairly famous design principle (from “PEP 20 — The Zen of Python”): There should be one– and preferably only one –obvious way to do it. Frankly in R (especially once you add many packages) there is usually more than one way. As an example we will talk about the ... [Read more...]

[Read more...]

I’ve been doing intermittent prep work for a follow-up to an earlier post on store closings and came across this CNN Money “article” on it. Said “article” is a deliberately obfuscated or lazily crafted series of GIF images that contain all the Radio Shack impending store closings. It’s ... [Read more...]

A new (and free!) e-book on extending the capabilities of Power BI with R is now available for download, from analytics consultancy BlueGranite. The introduction to the book explains why R and Power BI are a great match together: As a specialized, open source statistical environment, R represents the primary ... [Read more...]

In the first part, I introduced the weather dataset and outlining its exploratory analysis. In the second part of our tutorial, we are going to build multiple logistic regression models to predict weather forecast. Specifically, we intend to produce the following forecasts: tomorrow’s weather forecast at 9am of the ... [Read more...]

[Read more...]

[Read more...]

[Read more...]

Running R on the cloud isn’t very difficult. This demo shows how to get Rstudio running on Amazon Web Services. To run R on the cloud we need to initiate a machine/computer and install R – that’s all very simple. Where you might get caught up is in ... [Read more...]

[Read more...]

The future package defines the Future API, which is a unified, generic, friendly API for parallel processing. The Future API follows the principle of write code once and run anywhere - the developer chooses what to parallelize and the user how and where. The nature of a future is such ... [Read more...]

Readers who found my posting last week on our revisit package of interest may wish to check the somewhat related package ropensci/rrrpkg, which Edzer Pemesma tweeted about today. [Read more...]

TheyWorkForYou is a great website for keeping up with British politics and one of the many fine things mySociety does to make democracy in the UK more transparent. There’s also an API, accessible via http and wrapped up for a few languages. However, R is not amongst them, so ... [Read more...]

Line, Bar and Column Charts Hello everybody! This is the first part of an exciting data visualization series r exercises.com is going to provide you. Data visualization involves the creation and study of the visual representation of data. The increasing amounts of data created by Internet activity make the “... [Read more...]

Here is a really nice feature found in the current 3.4.0 version of R: summary() has become a lot more reasonable. summary(15555) # Min. 1st Qu. Median Mean 3rd Qu. Max. # 15555 15555 15555 15555 15555 15555 Please read on for some background. In older versions of R (say R 3.3.1) the above code … Continue reading R summary() got ... [Read more...]

The new RcppArmadillo release 0.7.900.2.0 is now on CRAN, and the Debian package was just updated as well. Armadillo is a powerful and expressive C++ template library for linear algebra aiming towards a good balance between speed and ease of use wit... [Read more...]

IQFeed provides streaming data services and trading solutions that cover the Agricultural, Energy and Financial marketplace. It is a well known and recognized data feed provider geared toward retail users and small institutions. The subscription price starts at around $80/month. Stanislav Kovalevsky has developed a package called QuantTools. It is ... [Read more...]

The code below gives a simple implementation of the Metropolis and Metropolis-in-Gibbs sampling algorithms, which are useful for sampling probability densities for which the normalizing constant is difficult to calculate, are irregular, or have high dimension (Metropolis-in-Gibbs). ## Metropolis sampling ## x - current value of Markov chain (numeric vector) ## targ - ... [Read more...]

A few weeks ago and then some, I [as occasional blogger!] got contacted by datazar.com to write a piece on this data-sharing platform. I then went and checked what this was all about, having the vague impression this was a platform where I could store and tun R codes, ... [Read more...]