New course: Object-Oriented Programming in R: S3 and R6

January 16, 2017
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New course: Object-Oriented Programming in R: S3 and R6

Our newest course, Object-Oriented Programming in R: S3 and R6 taught by Richie Cotton is now available! Object-oriented programming (OOP) lets you specify relationships between functions and the objects that they can act on, helping you manage comple...

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The Meeting Point Locator

January 16, 2017
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The Meeting Point Locator

Hi Hillary, It’s Donald, would you like to have a beer with me in La Cabra Brewing, in Berwyn, Pensilvania? (Hypothetical utilization of The Meeting Point Locator) Finding a place to...

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Gelman’s MrP in R – What is this all about?

January 15, 2017
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Multilevel regression with poststratification (MrP) is a useful technique to predict a parameter of interest within small domains through modeling the mean of the variable of interest conditional on...

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More components of the R ecosystem

This note lists a few of the organizations that are pushing the R language forward, as of early 2017. R is happy language right now. Historically, the R Project for...

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Rcpp 0.12.9: Next round

January 15, 2017
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Yesterday afternoon, the nineth update in the 0.12.* series of Rcpp made it to the CRAN network for GNU R. Windows binaries have by now been...

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prepdat: Preparing Experimental Data for Statistical Analysis

January 15, 2017
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prepdat: Preparing Experimental Data for Statistical Analysis

Guest post by Ayala S. Allon, School of Psychological Sciences, Tel-Aviv University prepdat is an R package that helps researchers to optimize and speedup their analysis, providing various cross...

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Multiple Regression (Part 1)

January 15, 2017
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Multiple Regression (Part 1)

In the exercises below we cover some material on multiple regression in R. Answers to the exercises are available here. If you obtained a different (correct) answer than those...

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The Wizarding World of rstudio::conf 2017

January 15, 2017
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The Wizarding World of rstudio::conf 2017

After the success of last January’s “Shiny Dev Con“, our friends at RStudio are back with their first full-blown conference, “rstudio::conf“. Like our own EARL Conference, rstudio::conf was preceeded...

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When You Went too Far with Survival Plots During the survminer 1st Anniversary

January 15, 2017
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When You Went too Far with Survival Plots During the survminer 1st Anniversary

We are celebrating the 1st anniversary of the survminer’s release on CRAN! Due to that fact I have prepared the most (uber platinum) customized survival plot that I...

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Repurposing the Candlestick Chart

January 14, 2017
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Repurposing the Candlestick Chart

My cousin Eli is way cooler than me. Well, to be fair, I don’t exactly set a high bar! Eli is a skydiving enthusiast with over 200 jumps to...

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R to the Rescue

January 14, 2017
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R to the Rescue

A strategy for gathering scattered spreadsheet data with R - A simple request Recently I was tasked with extracting data from multiple spreadsheets so that it...

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Feature Selection in Machine Learning (Breast Cancer Datasets)

January 14, 2017
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Feature Selection in Machine Learning (Breast Cancer Datasets)

Machine learning uses so called features (i.e. variables or attributes) to generate predictive models. Using a suitable combination of features is essential for obtaining high precision and accuracy. Because...

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Beginners Exercise: Bayesian Computation with Stan and Farmer Jöns

January 14, 2017
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Beginners Exercise: Bayesian Computation with Stan and Farmer Jöns

Over the last two years I’ve occasionally been giving a very basic tutorial to Bayesian statistics using R and Stan. At the end of the tutorial I hand out...

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RStudio Conference 2017 Recap

January 14, 2017
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The first ever RStudio conference was held January 11-14, 2017 in Orlando, FL. For anyone else like me who spends hours each working day staring into an RStudio session,...

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Structural Equation Modelling in R (Part 2)

January 14, 2017
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Structural Equation Modelling in R (Part 2)

Brief explanation This is the second part in a series on three articles about Structural Equation Modelling (SEM). This time I am glad to announce Jodie Burchell as a...

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Regression model with auto correlated errors – Part 2, the models

January 14, 2017
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Regression model with auto correlated errors – Part 2, the models

In the first part I created the data for testing the Astronomical/Astrological Hypotheses. In this part, I started by fitting a simple linear regression model. mod.lm = lm(div.a.ts~vulcan.ts) summary(mod.lm)...

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Text Mining in R: A Tidy Approach

January 13, 2017
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Text Mining in R: A Tidy Approach

I spoke on approaching text mining tasks using tidy data principles at rstudio::conf yesterday. I was so happy to have the opportunity to speak and the conference has...

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New course! Exploratory Data Analysis in R: Case Study

January 13, 2017
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New course! Exploratory Data Analysis in R: Case Study

We recently launched a new course, Exploratory Data Analysis in R: Case Study taught by David Robinson. Dave is a Data Scientist at Stack Overflow and his interests include statistics, data...

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Some R News

January 13, 2017
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by Joseph Rickert Here are a few things of some interest in the R world: The Gordon and Betty Moore Foundation has joined the R Consortium! This is a...

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Microsoft R Server tips from the Tiger Team

January 13, 2017
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The Microsoft R Server Tiger Team assists customers around the world to implement large-scale analyytic solutions. Along the way, they discover useful tips and best practices, and share them...

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New year resolution

January 13, 2017
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New year resolution

Now that the Christmas break is just a distant memory (Marta would say that I am quite happy with that $-$ she...

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CRISP-DM and why you should know about it

January 13, 2017
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CRISP-DM and why you should know about it

The Cross Industry Standard Process for Data Mining (CRISP-DM) was a concept developed 20 years ago now. I’ve read about it in various data mining and related books and...

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Animated barplot and google map with R

January 13, 2017
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Animated barplot and google map with R

It might happen that you will need a animated graph of any kind. For purposes of plotting demographic data and changes through the years, Google Maps and plotting maps,...

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Books I like

January 13, 2017
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Books I like

If you’re serious about learning, you probably need to read a book at some point. These days if you want to learn applied statistics and data science tools, you have...

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Let’s get started with dplyr

January 12, 2017
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Let’s get started with dplyr

The dplyr package by Hadley Wickham is a very useful package that provides “A Grammar of Data Manipulation”. It aims to simplify common data manipulation tasks, and provides “verbs”,...

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Education Analytics with R and Cortana Intelligence Suite

January 12, 2017
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Education Analytics with R and Cortana Intelligence Suite

By Fang Zhou, Microsoft Data Scientist; Hong Ooi, Microsoft Senior Data Scientist; and Graham Williams, Microsoft Director of Data Science Education is a relatively late adopter of predictive analytics...

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Raccoon | Ch 2.3 – 1-way Anova

January 12, 2017
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Raccoon | Ch 2.3 – 1-way Anova

Raccoon is a free web-book about Statistical Models with R. It's the collection of twenty years of notes, exercises and concepts working with statistics and R. This is the...

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Extensions for simmer

January 12, 2017
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Extensions for simmer

A new version of the Discrete-Event Simulator for R was released a few days ago on CRAN. The most interesting new feature is the implementation of the subsetting operators...

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January Update R Course Finder: Shiny, Quantitative Trading, and Much More

January 12, 2017
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January Update R Course Finder: Shiny, Quantitative Trading, and Much More

A few months ago we launched R Course Finder, an online directory that helps you to find the right R course quickly. With so many R courses available online,...

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