Spring Lecture – Zurich, February 2015
[This article was first published on Rmetrics blogs, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your [Read more...]
February 2015
Applied Predictive Modeling – a live stream seminar with Max Kuhn
Vivian Zhang and NYC-Open-Data will be hosting Max Kuhn’s event and do live streaming from 7pm to 9pm in nyc on Feb 18th: [Read more...]
Tips & Tricks 6: Exploring Data for Outliers
Geomorph users,A new function in geomorph 2.1.3 allows the user to explore Procrustes superimposed data for outliers (plotOutliers). Here I shall provide a few example for loops to demonstrate how you can explore your data for outliers prior to analyse... [Read more...]
Geomorph update 2.1.3 Now Available!
Geomorph users,We have uploaded version 2.1.3 to CRAN. The windows and mac binaries have been compiled and the tarball is available.NOTE: Version 2.1.3 has a small bug in readland.tps()that unfortunately slipped through the cracks. So yo... [Read more...]
R Crash Course – Zurich, 26 February 2015
[This article was first published on Rmetrics blogs, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your [Read more...]
Reading Arduino data directly into R
I have experimented with reading an Arduino signal into R in the past, using Rserve and Processing. Actually, it is much easier. I can read the output of my Arduino directly into R with the scan function. Here is my temperature sensor example again:And all it needs to read ...
Introducing js: tools for working with JavaScript in R
A new package has appeared on CRAN called js. This package implements bindings to several popular JavaScript libraries for validating, reformating, optimizing and analyzing JavaScript code. It builds on the V8 engine, the fully standalone JavaScript engine in R.
Syntax Validation
Several R packages allow the user to supply JavaScript ...
An R tutorial for Microsoft Excel users
If you currently use a spreadsheet like Microsoft Excel for data analysis, you might be interested in taking a look at this tutorial on how to transition from Excel to R by Tony Ojeda. The tutorial explains how to use R functions in place of Excel formulas, including tools like =... [Read more...]
Bayesian statistics and clinical trial conclusions: Why the OPTIMSE study should be considered positive
Statistical approaches to randomised controlled trial analysis The statistical approach used in the design and analysis of the vast majority of clinical studies is often referred to as classical or frequentist. Conclusions are made on the results of hypothesis tests with generation of p-values and confidence intervals, and require that ... [Read more...]
SAS to R Migration
By Andy Nicholls, Head of Consulting (UK) Why do it? Mango has been involved in an increasing number of engagements where customers are seeking to migrate from SAS to R. There are a number of different business drivers for these … Continue reading → [Read more...]
Customer segmentation – LifeCycle Grids with R
I want to share a very powerful approach for customer segmentation in this post. It is based on customer’s lifecycle, specifically on frequency and recency of purchases. The idea of using these metrics comes from the RFM analysis. Recency and frequency are very important behavior metrics. We are interested ...
RTutor Kicks Off: An Interactive R Problem Set about Top Income Taxation
RTutor is a new R package that allows to develop interactive R exercises. Problem sets can be solved off-line or can be hosted online via shiny server.
Try out an Interactive Problem Set about Optimal Taxation of Top Labor Incomes
Jonas Send has written a very nice interactive R problem ... [Read more...]
Mapping the world with tweets
A few days ago, I collected 30 minutes of tweets all around the world. I used the twitteR and streamR packages for this. The nice thing about those tweets is that they have geo-information associated with them. Not all of them, of course, but more than enough.Let's see, what happens ...
Mapping the world with tweets (including a GIF without cats and a Shiny App).
A few days ago, I collected 30 minutes of tweets all around the world. I used the twitteR and streamR packages for this. The nice thing about those tweets is that they have geo-information associated with them. Not all of them, of course, but more than... [Read more...]
12 nifty tips for scientists who use computers
Simple things are good. Here is a list of 12 things that I find simple and useful, yet not many of my colleagues use them. The list is R-biased. Knitr. Intuitive tool to integrate R and text to make reports with fancy fonts, figures, syntax-highlighted R code and equations. If … Continue ... [Read more...]
How-to go parallel in R – basics + tips
Today is a good day to start parallelizing your code. I've been using the parallel package since its integration with R (v. 2.14.0) and its much easier than it at first seems. In this post I'll go through the basics for implementing parallel computations in R, cover a few common pitfalls, ... [Read more...]
pacman 0.2.0: Initial CRAN Release
We’re please to announce the first CRAN release of pacman v. 0.2.0. pacman is the combined work of Dason Kurkiewicz & Tyler Rinker. pacman is an R package management tool that combines the functionality of base library related functions into intuitively … Continue reading →
Minimist: an example of writing native JavaScript bindings in R
A new package has appeared on CRAN called minimist, which implements an interface to the popular JavaScript library. This package has only one function, used for argument parsing. For example in RGui on OSX, the output of commandArgs() looks like this:
<span>></span> <span>commandArgs</span><span>()</span> <span>[</span><span>1</span><span>]</span> <span>"R"</span> <span>"--no-save"</span> <span>"--no-restore-data"</span> <span>"--gui=aqua"</span>Minimist turns that into this:
<span>></span> <span>library</span><span>(</span>minimist<span>)</span> <span>></span> minimist<span>(</span><span>commandArgs</span><span>())</span> <span>$</span><span>`_`</span> <span>[</span><span>1</span><span>]</span> <span>"R"</span> <span>$</span><span>save</span> <span>[</span><span>1</span><span>]</span> <span>FALSE</span> <span>$</span><span>`restore-data`</span> <span>[</span><span>1</span><span>]</span> <span>FALSE</span> <span>$</span>gui <span>[</span><span>1</span><span>]</span> <span>"aqua"</span>Note how ...
Introduction to OpenCPU for R on EC2 with Python
OpenCPU is (simply put) a server implementing a RESTful web API for remotely executing R functions and retrieving results. In this tutorial I am going to showcase how OpenCPU can be installed on an EC2 instance running Ubuntu 14.04. Python and … Continue reading → [Read more...]
Testing for Multivariate Normality
The assumption that multivariate data are (multivariate) normally distributed is central to many statistical techniques. The need to test the validity of this assumption is of paramount importance, and a number of tests are available.A recently released R package, MVN, by Korkmaz et al. (2014) brings together several of these ... [Read more...]
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