March, 2019 | R-bloggers

Starting With Data Science: A Rigorous Hands-On Introduction to Data Science for Engineers

March 6, 2019 | John Mount

Starting With Data Science A rigorous hands-on introduction to data science for engineers. Win Vector LLC is now offering a 4 day on-site intensive data science course. The course targets engineers familiar with Python and introduces them to the basics of current data science practice. This is designed as an interactive ... [Read more...]

International Summer School on Geospatial Data Science with R in Jena

March 6, 2019 | jannesm

We are proud to announce our “International Summer School on Geospatial Data Science with R” taking place at the GIScience department of Jena (Germany) from 25. August to 1. September 2019.

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Dataiku with RStudio integration

March 5, 2019 | Longhow Lam

Introduction Some time ago I wrote about the support for R users within Dataiku. The software can really boost the productivity of R users by having: Managed R code environments, Support for publishing of R markdown files and shiny apps … Continue reading →

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Building a Shiny app to show the impact of vaccines

March 5, 2019 | R blog posts on sandsynligvis.dk

Debates about vaccines are ongoing in many countries and the debate has reblossomed in Denmark after we’ve had five recent occurrences of measels. While that is nothing compared to the measles outbreak currently ravaging Japan it is still enough to worry the health authorities that it might result in ... [Read more...]

Bayesian Survival Analysis with Data Augmentation

March 5, 2019 | R on

Motivation Model Set Up Data Augmentation Metropolis-in-Gibbs Sampler Simulation Example in R Motivation When dealing with time-to-event data, right-censoring is a common occurance. Although most are familiar with likelihood construction under ...

[Read more...]

Building a Shiny app to show the impact of vaccines

March 5, 2019 | R blog posts on sandsynligvis.dk

Debates about vaccines are ongoing in many countries and the debate has reblossomed in Denmark after we’ve had five recent occurrences of measels. While that is nothing compared to the measles outbreak currently ravaging Japan it is still enough to worry the health authorities that it might result in ... [Read more...]

Lots of zeros or too many zeros?: Thinking about zero inflation in count data

March 5, 2019 | Very statisticious on Very statisticious

In a recent lecture I gave a basic overview of zero-inflation in count distributions. My main take-home message to the students that I thought worth posting about here is that having a lot of zero values does not necessarily mean you have zero inflation. Zero inflation is when there are ...

[Read more...]

Bayesian Survival Analysis with Data Augmentation

March 5, 2019 | R on

Motivation Model Set Up Data Augmentation Metropolis-in-Gibbs Sampler Simulation Example in R Motivation When dealing with time-to-event data, right-censoring is a common occurance. Although most are familiar with likelihood construction under ...

[Read more...]

Building a Shiny app to show the impact of vaccines

March 5, 2019 | R blog posts on sandsynligvis.dk

Debates about vaccines are ongoing in many countries and the debate has reblossomed in Denmark after we’ve had five recent occurrences of measels. While that is nothing compared to the measles outbreak currently ravaging Japan it is still enough to worry the health authorities that it might result in ... [Read more...]

Getting started with RMarkdown & trying to make it in the world of Kaggle. Join MünsteR for our next meetup!

March 5, 2019 | Dr. Shirin Glander

In our next MünsteR R-user group meetup on Tuesday, April 9th, 2019, we will have two exciting talks: Getting started with RMarkdown and Trying to make it in the world of Kaggle! You can RSVP here: http://meetu.ps/e/Gg5th/w54bW/f Getting started ...

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Graph analysis using the tidyverse

March 5, 2019 | R Views

It is because I am not a graph analysis expert that I though it important to write this article. For someone who thinks in terms of single rectangular data sets, it is a bit of a mental leap to understand how to apply tidy principles to a more robust object, ...

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Cancer clusters and the Poisson distributions

March 5, 2019 | Yossi Levy

On March 1, 2019, an article was published in Israel’s Ynetnews website, under the title “The curious case of the concentration of cancer”. The story reports on a concentration of cancer cases in the town of Rosh Ha’ayin in central Israel. In the past few years dozens of cases of ...

[Read more...]

Head’s Up! Roll Your Own HTTP Headers Investigations with the ‘hdrs’ Package

March 5, 2019 | hrbrmstr

I blathered alot about HTTP headers in the last post. In the event you wanted to dig deeper I threw together a small package that will let you grab HTTP headers from a given URL and take a look at them. The README has examples for most things but we’...

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How to become a Mango

March 5, 2019 | Laura Swales

At Mango, we talk a lot about going on a ‘data-driven journey’ with your business. We’re passionate about data and getting the best use out of it. But for now, instead of looking at business journeys, I wanted to talk to the Mango team and find out how they ... [Read more...]

dqrng v0.1.0: breaking changes

March 5, 2019 | Ralf Stubner

A new version of dqrng has made it onto the CRAN servers. This version brings two breaking changes, hence the “larger than usual” change in version number: An integer vector instead of a single int is used for seeding (Aaron Lun in #10) Single integer seeds lead to a different RNG ... [Read more...]

Evolution works!

March 5, 2019 | Learning Machines

Hamlet: Do you see yonder cloud that’s almost in shape of a camel? Polonius: By the mass, and ’tis like a camel, indeed. Hamlet: Methinks it is like a weasel. from Hamlet by William Shakespeare The best way to see how evolution works, is to watch it in action! ... [Read more...]

shapper is on CRAN, it’s an R wrapper over SHAP explainer for black-box models

March 5, 2019 | smarterpoland

Written by: Alicja Gosiewska In applied machine learning, there are opinions that we need to choose between interpretability and accuracy. However in field of the Interpretable Machine Learning, there are more and more new ideas for explaining black-box models. One of the best known method for local explanations is SHapley ... [Read more...]

Classification of historical newspapers content: a tutorial combining R, bash and Vowpal Wabbit, part 2

March 4, 2019 | Econometrics and Free Software

In part 1 of this series I set up Vowpal Wabbit to classify newspapers content. Now, let’s use the model to make predictions and see how and if we can improve the model. Then, let’s train the model on the whole data. Step 1: prepare the data The f...

[Read more...]

Getting Help in R

March 4, 2019 | Rsquared Academy Blog - Explore Discover Learn

Introduction In this post, we will learn about the different methods of getting help in R. Often, we get stuck while doing some analysis as either we do not know the correct function to use or its syntax. It is important for anyone who is new to R to know ...

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Overview of statistical tests

March 4, 2019 | Philipp Probst

Here an overview table of statistical tests that I use for the consultation of medical doctors. Easy-to-use and easy to understand. I usually also hand it over to them. (PDF) [Read more...]

R-bloggers

R news and tutorials contributed by hundreds of R bloggers

March 2019

Starting With Data Science: A Rigorous Hands-On Introduction to Data Science for Engineers

International Summer School on Geospatial Data Science with R in Jena

Dataiku with RStudio integration

Building a Shiny app to show the impact of vaccines

Bayesian Survival Analysis with Data Augmentation

Building a Shiny app to show the impact of vaccines

Lots of zeros or too many zeros?: Thinking about zero inflation in count data

Bayesian Survival Analysis with Data Augmentation

Building a Shiny app to show the impact of vaccines

Getting started with RMarkdown & trying to make it in the world of Kaggle. Join MünsteR for our next meetup!

Graph analysis using the tidyverse

Cancer clusters and the Poisson distributions

Head’s Up! Roll Your Own HTTP Headers Investigations with the ‘hdrs’ Package

How to become a Mango

dqrng v0.1.0: breaking changes

Evolution works!

shapper is on CRAN, it’s an R wrapper over SHAP explainer for black-box models

Classification of historical newspapers content: a tutorial combining R, bash and Vowpal Wabbit, part 2

Getting Help in R

Overview of statistical tests

March 2019

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