February 2016

Using Jupyter Notebooks to Define Literate APIs

February 2, 2016 | Tony Hirst

Part of the vision behind the Jupyter notebook ecosystem seems to be the desire to create a literate computing infrastructure that supports “the weaving of a narrative directly into a live computation, interleaving text with code and results to construct a complete piece that relies equally on the textual explanations ... [Read more...]

rapply function – explanation and examples

February 2, 2016 | R – StudyTrails

In this post we will look at one of the powerful ‘apply’ group of functions in R – rapply. rapply stands for recursive apply, and as the name suggests it is used to apply a function to all elements of a list recursively. We begin by first creating a straightforward list ... [Read more...]

First Bayesian Mixer Meeting in London

February 2, 2016 | R on mages' blog

There is a nice pub between Bunhill Fields and the Royal Statistical Society in London: The Artillery Arms. Clearly, the perfect place to bring people together to talk about Bayesian Statistics. Well, that’s what Jon Sedar (@jonsedar, applied.ai) and I thought. Source: http://www.artillery-arms.co.uk/Hence, ... [Read more...]

First Bayesian Mixer Meeting in London

February 2, 2016 | Markus Gesmann

There is a nice pub between Bunhill Fields and the Royal Statistical Society in London: The Artillery Arms. Clearly, the perfect place to bring people together to talk about Bayesian Statistics. Well, that’s what Jon Sedar (@jonsedar, applied.ai) and I thought. Source: http://www.artillery-arms.co.uk/Hence, ...
[Read more...]

SIMD Map-Reduction with RcppNT2

February 1, 2016 | Rcpp Gallery

Introduction The Numerical Template Toolbox (NT2) collection of header-only C++ libraries that make it possible to explicitly request the use of SIMD instructions when possible, while falling back to regular scalar operations when not. NT2 itself is powered by Boost, alongside two proposed Boost libraries – Boost.Dispatch, which provides a ...
[Read more...]

Tracking ggplot2 Extensions

February 1, 2016 | emaasit

Introduction The purpose of this blog post is to inform R users of a website that I created to track and list ggplot2 extensions. The site is available at: http://ggplot2-exts.github.io. The purpose of this site is to help other R users easily find ggplot2 extensions that ...
[Read more...]

Le Monde puzzle [#947]

February 1, 2016 | xi'an

Another boardgame in Le Monde mathematical puzzle : Given an 8×8 chequerboard,  consider placing 2×2 tiles over this chequerboard until (a) the entire surface is covered and (b) removing a single 2×2 tile exposes some of the original chequerboard. What is the maximal number of 2×2 tiles one can set according to this scheme? And ...
[Read more...]

Using PostgreSQL in R: A quick how-to

February 1, 2016 | Nina Zumel

The combination of R plus SQL offers an attractive way to work with what we call medium-scale data: data that’s perhaps too large to gracefully work with in its entirety within your favorite desktop analysis tool (whether that be R or Excel), but too small to justify the overhead ...
[Read more...]

Video: Applied Predictive Modeling with R

February 1, 2016 | David Smith

There's more to Iowa than just today's presidential primary. Last month, the Central Iowa R User Group hosted Dr. Max Kuhn, Director of Non-Clinical Statistics at Pfizer Global R&D, via video-chat to present on Applied Predictive Modeling with R. Max is the co-author of the excellent book Applied Predictive ... [Read more...]

Going Bananas With Hilbert

February 1, 2016 | aschinchon

It seemed that everything is in ruins, and that all the basic mathematical concepts have lost their meaning (Naum Vilenkin, Russian mathematician, regarding to the discovery of Peano’s curve) Giuseppe Peano found in 1890 a way to draw a curve in the plane that filled the entire space: just a ...
[Read more...]

The Data Mining Process: Modeling

February 1, 2016 | James Vineburgh

Happy new year, everyone! Continuing this series on the data mining process that has previously examined understanding business problems and associated data as well as data preparation,  this post focuses on modeling. Developing models calls for using specific algorithms to explore, recognize, and ultimately output any patterns or themes in ... [Read more...]

Voronoi Diagrams in Plotly and R

February 1, 2016 | Riddhiman

Here’s a function which uses plotly’s R Library to overlay a voronoi diagram on top of a 2-D K-Means visualization. Visit the Getting Started section to get Plotly up and running using R. Here’s a quick rundown on how this function works: Accepts a data frame containing ... [Read more...]

RSiteCatalyst Version 1.4.7 (and 1.4.6.) Release Notes

February 1, 2016 | Randy Zwitch

It seems as though I missed release notes for version RSiteCatalyst 1.4.6, so we’ll do those and RSiteCatalyst 1.4.7 (now on CRAN) and the same time… RSiteCatalyst 1.4.6 This release was mostly tweaking some settings, specifically: Adding a second `top` argument within the Queue* functions for more control on results returned. It ... [Read more...]

Testing R Code

February 1, 2016 | cloudcell

Among various ways to test R code on GitHub / Travis / Codecov, there exist four main approaches: use RUnit package use testthat package use one’s own custom function (what I’ve been doing so far) save test output as reference & compare modified code output against it After reading this post [... [Read more...]

Shiny Developers Conference Review

February 1, 2016 | Liz Matthews

by Aimee Gott               Late in 2015 I was delighted to receive an invite to the inaugural Shiny Developers Conference to be held in Stanford, California. I didn’t have to think twice about wanting … Continue reading → [Read more...]
1 … 11 12 13 14

Copyright © 2022 | MH Corporate basic by MH Themes

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)