February 2015

pacman 0.2.0: Initial CRAN Release

February 16, 2015 | 0 Comments

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 →
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Minimist: an example of writing native JavaScript bindings in R

February 15, 2015 | 0 Comments

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: __ commandArgs() [1] "R" "--no-save" "--no-restore-data" "--gui=aqua" Minimist turns that ...
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Introduction to OpenCPU for R on EC2 with Python

February 15, 2015 | 0 Comments

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

February 15, 2015 | 0 Comments

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...]

Debugging with restore points instead of break points

February 15, 2015 | 0 Comments

break points and restore points The standard method to debug an R function is to set break points via the browser function. When during execution of the function, browser() is called, the R console immediately changes into an interactive debugging mode that allows to step through the code and enter ...
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Introducing the streamgraph htmlwidget R Package

February 15, 2015 | 0 Comments

We were looking for a different type of visualization for a project at work this past week and my thoughts immediately gravitated towards streamgraphs. The TLDR on streamgraphs is they they are generalized versions of stacked area graphs with free baselines across the x axis. They are somewhat controversial but ... [Read more...]

Trial until first succes

February 15, 2015 | 0 Comments

Studying on in Bayesian Approaches to Clinical Trials and Health-Care Evaluation (David J. Spiegelhalter, Keith R. Abrams, Jonathan P. Myles) they state that if you have one success in a trial, that a design is needed to know what that means. For examp... [Read more...]

Bayesian network in R: Introduction

February 15, 2015 | 0 Comments

Bayesian networks (BNs) are a type of graphical model that encode the conditional probability between different learning variables in a directed acyclic graph. There are benefits to using BNs compared to other unsupervised machine learning techniques. A few of these benefits are:It is easy to exploit expert knowledge in ... [Read more...]

V8 version 0.5: typed arrays and sql.js

February 14, 2015 | 0 Comments

Earlier this month, V8 version 0.5 appeared on CRAN. This version adds support typed arrays as specified in ECMA 6 in order to support high performance computing and libraries compiled with emscripten. A big thanks goes to Kenton Russell (@timelyportfolio) for suggesting these features. Example: sql.js These new features increase the ...
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Part 1: Introduction

February 14, 2015 | 0 Comments

The ultimate goal of every data scientist is to extract as much valuable information as possible from a given data set. We want to be able to predict the future based on the past, to discover very deep and hidden patterns in the data, and to expand the current base ... [Read more...]

Introducing shinyData (v0.1.1)

February 13, 2015 | 0 Comments

shinyData is an easy to use tool for interactive data analysis, visualization and presentation. It leverages the power of R and its vast collection of packages to allow users to efficiently perform common data tasks, such as slicing and dicing, aggregation, visualization and more (usually referred to as “business intelligence”). ...
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A Talk and Course in NYC Next Week

February 13, 2015 | 0 Comments

I'll be giving talk on Tuesday February 17 (7:00PM-9:00PM) that will be an overview of predictive modeling. It will not be highly technical and here is the current outline: "Predictive modeling" definition Some example applications A short overview and example How is this different from what statisticians already do? What ... [Read more...]

50 Shades of Grey: According to R

February 13, 2015 | 0 Comments

By Andy Nicholls – Head of Consulting (UK) I’ve been joking about R’s “200 shades of grey” on training courses for a long time. The popularity of the book “50 Shades of Grey” has changed the meaning of this statement somewhat. … Continue reading → [Read more...]
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