February 2015

Introducing the streamgraph htmlwidget R Package

February 15, 2015 | hrbrmstr

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 | Wingfeet

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 | Hamed

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 | Jeroen Ooms

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 | Pedro M.

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 | yindeng

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”). ...
[Read more...]

A Talk and Course in NYC Next Week

February 13, 2015 | Max Kuhn

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 | Mango Solutions

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...]

SweetheaRstats

February 12, 2015 | hrbrmstr

I felt compelled to dust off my 2013 Valentine’s Day #rstats post and make it all Shiny and new again. I used the same math from that post, but made the polygon a bit sharper and used ggplot2 for the plotting. To kick it up a bit, I decided to ... [Read more...]

R Shiny App: Alaska Sea Ice Edge

February 12, 2015 | Matt Leonawicz

A simple app for mapping estimates of Alaska sea ice edge during different months, years, and decades is now formally available. I made this app in R about six months ago and shared an earlier version on Twitter. I have cleaned up the code a bit. Most notably, it now ... [Read more...]

Eight New Ideas From Data Visualization Experts

February 12, 2015 | Plotly

This post summarizes and visualizes eight key ideas we’ve heard from data visualization experts. Check out our first Case Study to learn more about using Plotly Enterprise on-premise, on your servers. To get started on free online graphing like in this post, check out our tutorials. Make Interactive Graphs ... [Read more...]
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