John Cromwell

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CRAN now has 10,000 R packages. Here's how to find the ones you need.

CRAN, the global repository of open-source packages that extend the capabiltiies of R, reached a milestone today. There are now more than 10,000 R …

Applied Statistics with R

Chapter 1 Introduction<p>Welcome to Applied Statistics with R!<p>1.1 About This Book<p>This book was originally (and currently) designed for use with STAT …

Efficient R programming

Authors<p>Colin Gillespie is Senior lecturer (Associate professor) at Newcastle University, UK. His research interests are high performance statistical …

Introduction to R for Data Science

Learn the R statistical programming language, the lingua franca of data science in this hands-on course.

Deep Learning in R

(This article was first published on <b> R Blog</b>, and kindly contributed to R-bloggers) <i>Oksana Kutkina, Stefan Feuerriegel</i><i>March 7, 2016</i>IntroductionDeep …

Learn By Example: Statistics and Data Science in R | Popular Mechanics Shop

Introduction<p>You, This course and Us (2:32)<br>• Top Down vs Bottoms Up : The Google vs McKinsey way of looking at data (12:58)<br>• R and RStudio installed (5:10)<p>The 10 second answer : Descriptive Statistics<p>Descriptive Statistics : Mean, Median, Mode (10:07)<br>• Our first foray into R : Frequency Distributions …

Data Science

Advanced R Programming

The 2017 Top Programming Languages

It’s summertime here at <i>IEEE Spectrum</i>, and that means it’s time for our fourth interactive ranking of the top programming languages. As with all …

Revolution R renamed Microsoft R, available free to developers and students

In the nine months since Microsoft acquired Revolution Analytics, there have been a steady stream of updates to Revolution R Open and Revolution R …

Multidimensional Scaling with R (from “Mastering Data Analysis with R”)

<i>Guest post by Gergely Daróczi. If you like this content, you can buy the full 396 paged e-book for 5 USD until January 8, 2016 as part of Packt’s “$5</i> …

R-Markdown and Knitr Tutorial (Part 1)

(This article was first published on <b>Modern Data » R</b>, and kindly contributed to R-bloggers)<p>R-Markdown is a great way to create dynamic documents with …

ggplot2 version 2 adds extensibility and other improvements

(This article was first published on <b> Revolutions</b>, and kindly contributed to R-bloggers)Despite the ggplot2 project — the most popular data …

Programmatically create interactive Powerpoint slides with R

Powerpoint is a powerful application for creating presentations, and allows you to include all sorts of text, pictures, animations and interactivity …

Fitting a neural network in R; neuralnet package

(This article was first published on <b>DataScience+</b>, and kindly contributed to R-bloggers)<p>Neural networks have always been one of the most fascinating …

Call R functions from any application with the AzureML package

If you've developed a useful function in R (say, a function to make a forecast or prediction from a statistical model), you may want to call that …

Best way to learn kNN Algorithm using R Programming

Introduction<p>In this article, I’ll show you the application of kNN (k – nearest neighbor) algorithm using R Programming. But, before we go ahead on …

SQL Server 2016 to include R

In one of the first concrete results of Microsoft's purchase of R vendor Revolution Analytics, R will be incorporated into SQL Server 2016, according …

50+ Data Science and Machine Learning Cheat Sheets

<b>By Geethika Bhavya Peddibhotla, KDnuggets.</b><p>Cheatsheets on Python, R and Numpy, Scipy, Pandas<p>There are thousands of packages and hundreds of functions …

Python Programming

No THIS Is How You Dplyr and Data.Table!

(This article was first published on <b>Jeffrey Horner</b>, and kindly contributed to R-bloggers)<p>So, I got some great solutions to my dplyr mutation problem …

Non-Linear Classification in R with Decision Trees

By onAugust 27, 2014 in R Machine Learning<p>In this post you will discover 7 recipes for non-linear classification with decision trees in R.<p>All recipes …

Top 10 Data Mining Algorithms, Explained

Today, I’m going to explain in plain English the top 10 most influential data mining algorithms as voted on by 3 separate panels in this survey paper.<p>…

Data Science

Awesome-R: A curated list of the best add-ons for R

One of the great things about R is that there's so much available to use with it: there are several interfaces to choose from, thousands of add-on …

R for more powerful clustering

by Vidisha Vachharajani<br>Freelance Statistical Consultant<p>R showcases several useful clustering tools, but the one that seems particularly powerful is …

Why you should learn R first for data science

(This article was first published on <b>SHARP SIGHT LABS » r-bloggers</b>, and kindly contributed to R-bloggers)<p>Over and over, when talking with people who …

The data.table R Package Cheat Sheet

The data.table R package provides an enhanced version of data.frame that allows you to do blazing fast data manipulations. The data.table R package …

Tutorials

Introducing V8: An Embedded JavaScript Engine for R

December 17, 2014<p>JavaScript is an fantastic language for building applications. It runs on browsers, servers and databases, making it possible to …

A small introduction to the ROCR package

I've been doing some classification with logistic regression in brain imaging recently. I have been using the ROCR package, which is helpful at …

Simply Statistics

I recently finished reading Steve Coll’s book Directorate S, which is a chronicle of the U.S. war in Afghanistan post 9-11. It’s a good book, and one …

In-depth introduction to machine learning in 15 hours of expert videos

(This article was first published on <b>R - Data School</b>, and kindly contributed to R-bloggers)<p>In January 2014, Stanford University professors Trevor …

ŷhat | 10 R packages I wish I knew about earlier

One of the steepest parts of the R learning curve is the syntax. It took me a while to get over using <- instead of =. I hear people say a lot of …