March 2016

R in Insurance: Abstract submission closes end of March

March 18, 2016 | Markus Gesmann

Hurry! The abstract submission deadline for the 4th R in Insurance conference in London, 11 July 2015 is approaching soon. You have until the 28th of March to submit a one-page abstract for consideration. Both academic and practitioner proposals related to R are encouraged. Please email your abstract of no more than 300 ... [Read more...]

rOpenSci geospatial libraries

March 17, 2016 | rOpenSci Blog - R

Geospatial data input/output, manipulation, and vizualization are tasks that are common to many disciplines. Thus, we're keenly interested in making great tools in this space. We have an increasing set of spatial tools, each of which we'll cover sparingly. See the cran and github badges for more information. We ... [Read more...]

Version 2.1.0 Released

March 17, 2016 | Nicholas Hamilton

Version 2.1.0 has just been submitted to CRAN and should be available over the next day or so. This version primarily resolves the recent errors that people have been encountering when using ggtern with the most recent version of ggplot2 (v2.1.0). Specifically, the following errors recently emerged, due to (amongst other ... [Read more...]

Visualizing Movies Gross Income

March 17, 2016 | Joshua Kunst

Shh.. this post is an excuse to test the brand new subtitles and captions in #ggplot2! powered by @hrbrmstr. "And there came a day unlike any other,when earth's mightiest data sci vis tool added subtitles & captions" https://t.co/eRVPxz52iL #rstats— boB Rudis (@hrbrmstr) March 15, 2016 The recently (I ... [Read more...]

Customize a scatterplot exercises

March 17, 2016 | Matteo Renzi

In the following exercises we practice how to customize a scatterplot. We will use axis , to add an axis; mtext to add a text; and legend to add a legend. Moreover we practice how to add details in every stage. We will use the mtcars dataset, provided by R Cran (... [Read more...]

The making of cricket package yorkr – Part 3

March 17, 2016 | Tinniam V Ganesh

Introduction This is the 3rd part of my cricket package yorkr in R. In my 2 earlier posts The making of cricket package yorkr – Part 1. This post analyzed the performance of team in a ODI match. The batting and bowling performances of the team were analyzed. This post also performed analyses ...
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Google’s New Search Algorithm Introduces Bias

March 17, 2016 | Trinostics LLC

Larry Magid has a technology "article" on the local radio station. I always turn up the volume when Magid comes on. Today's spot tells how Google Search going forward may be biased for you personally based on your Google-stored relationships. This might be handy sometimes. For example, when looking for ... [Read more...]

Scoring R Models with Excel

March 17, 2016 | Joseph Rickert

by Joseph Rickert In a post late last year, my colleague and fellow blogger, Andrie de Vries described enhancements to the AzureML R package that makes it easy to publish R functions that consume data frames as Azure Web Services. A very nice consequence is that it is now feasible ... [Read more...]

RcppArmadillo 0.6.600.4.0

March 16, 2016 | Thinking inside the box

Conrad announced a new Armadillo release 6.600.4 yesterday. This followed some work we had done for thorough pre-release checking with reverse dependencies tests for the over 200 CRAN packages using it and resulted in one more squashed bug. This rel... [Read more...]

Player and roster similarity in the NBA

March 16, 2016 | StatOfMind

Recently, professional sports associations and teams have made big strides towards leveraging data to inform both personel and on-the-field decision making. While the four major leagues (NBA, NFL, MLB, NHL) vary in terms of where they are in that process, most people would argue that the NBA is at the ... [Read more...]

text2vec 0.3

March 16, 2016 | Data Science notes

Today I’m pleased to announce preview of the new version of text2vec. It is located in the 0.3 development branch, but very soon (probably in about a week) it will be merged into master. To reproduce examples below, please install [email protected] from github:
<span>devtools</span><span>::</span><span>install_github</span><span>(</span><span>'dselivanov/[email protected]'</span><span>)</span>
Also I’m waiting ... [Read more...]

The Easiest Way to Learn ggplot2 (2)

March 16, 2016 | DataCamp Blog

In our second course on ggplot2 “Data Visualization with ggplot2 (2)”, you will take the step from exploratory to explanatory data visualization. In five chapters, you’ll get to know more ggplot layers and tools needed to create excellent visuals that can be used in many different cases. Begin learning Data ... [Read more...]

R Shiny leaflet: using observers

March 16, 2016 | Matt Leonawicz

Using leaflet in R is fairly simple and there are plenty of online resources and examples available already. See the RStudio tutorial to get started if you haven’t already. This post presents a series of examples which build upon each other. The code displays both point data and raster ...
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Supreme Annotations

March 16, 2016 | hrbrmstr

This is a follow up to a twitter-gist post & to the annotation party we’re having this week I had not intended this to be “Annotation Week” but there was a large, positive response to my annotation “hack” post. This reaction surprised me, then someone pointed me to this link ...
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Forecasts with ARIMA Models

March 16, 2016 | arthur charpentier

In our time series class this morning, I was discussing forecasts with ARIMA Models. Consider some simple stationnary AR(1) simulated time series __ n=95 __ set.seed(1) __ E=rnorm(n) __ X=rep(0,n) __ phi=.85 __ for(t in 2:n) X[t]=phi*X[t-1]+E[t] __ plot(X,type="l") If we fit ...
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