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Was the Bavarian Abitur too hard this time?

May 14, 2019
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Was the Bavarian Abitur too hard this time?

Bavaria is known for its famous Oktoberfest… and within Germany also for its presumably difficult Abitur, a qualification granted by university-preparatory schools in Germany. A mandatory part for all students is maths. This year many students protested that the maths part was way too hard, they even started an online petition with more than seventy … Continue reading "Was...

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Transfer learning and semi-supervised learning with ruimtehol

May 13, 2019
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Last week the R package ruimtehol was updated on CRAN giving R users who perform Natural Language Processing access to the possibility to Allow to do semi-supervised learning (learning where you have both text as labels but not always both of them on ...

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Updating to R 3.6.0 on MacOS

Mixed emotions Every time there is a new major update from The R Foundation (like the recent 3.6.0 release in April). I’m always happy to see the continuing progress and the combination of new features and bug fixes, but I also dread the upgrade because it means I have to address the issue of what to do about the burgeoning number of packages (libraries) I...

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Upgrading to R 3.6.0 on a Mac – May 14, 2019

May 13, 2019
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Every time there is a new major update from The R Foundation (like the recent 3.6.0 release in April). I’m always happy to see the continuing progress and the combination of new features and bug fixes, but I also dread the upgrade because it means I have to address the issue of what to do about the burgeoning number...

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Introducing SAML in RStudio Connect

May 13, 2019
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Introducing SAML in RStudio Connect

RStudio Connect 1.7.4 builds off of the prior release with significant improvements for RStudio Connect administrators. SAML support is available for production, a new admin view of scheduled reports helps identify potential conflicts, additional server APIs support deployment workflows, and our email configuration has been completely re-vamped. View Scheduled Content Scheduled Content Calendar This...

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POWER to the People

POWER to the People

NASA generates and provides heaps of data to the scientific community. Not all of it is looking out at the stars. Some of it is looking back at us here on Earth. NASA’s Earth science program observes, understands and models the Earth system1. We can use these data to discover how our Earth is changing, to better predict change, and to understand the...

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Generating and modeling over-dispersed binomial data

May 13, 2019
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Generating and modeling over-dispersed binomial data

A couple of weeks ago, I was inspired by a study to write about a classic design issue that arises in cluster randomized trials: should we focus on the number of clusters or the size of those clusters? This trial, which is concerned with preventing opioid use disorder for at-risk patients in primary care clinics, has also motivated this...

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Who named their kid Daenerys or Khaleesi?

May 13, 2019
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Who named their kid Daenerys or Khaleesi?

The Game of Thrones character, Daenerys Targaryen, suffered a hit to her reputation in the final season of the much-watched HBO series. For the past few years, she has been a crowd favorite--combining brave determination, style, and dragon(s). Many people went a step further in their admiration and named their offspring after her. Below are a couple of charts...

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TfL Santander Bikes London 2018

May 13, 2019
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TfL Santander Bikes London 2018

I analysed Transport for London Santander bike rentals for 2018 and put together a map which shows which stations are used the most and how the network flows. http://statsonthe.cloud/2018bikes/ More to come soon, including details of how to make the m...

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Baby Name Animation

May 13, 2019
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Baby Name Animation

I was playing around with the gganimate package this morning and thought I’d make a little animation showing a favorite finding about the distribution of baby names in the United States. This is the fact—I think first noticed by Laura Wattenberg, of the Baby Name Voyager—that there has been a sharp, relatively recent rise in boys’ names ending in...

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RcppAnnoy 0.0.12

A new release of RcppAnnoy is now on CRAN. RcppAnnoy is the Rcpp-based R integration of the nifty Annoy library by Erik. Annoy is a small and lightweight C++ template header library for very fast approximate nearest neighbours—originally developed ...

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Faster Way to Slice Dataframe by Row

May 12, 2019
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When we’d like to slice a dataframe by row, we can employ the split() function or the iter() function in the iterators package. By leveraging the power of parallelism, I wrote an utility function slice() to faster slice the dataframe. In the example shown below, the slice() is 3 times more efficient than the split()

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Can The New York Times Improve Their Recipes?

May 12, 2019
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Can The New York Times Improve Their Recipes?

Can data analysis of the NYT recipe pages improve their performance and popularity?

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Virtual Morel Foraging with R

May 12, 2019
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Virtual Morel Foraging with R

Bryan Lewis is a mathematician, R developer and mushroom forager. ????????????????????????????? Morchella Americana by Bryan W. Lewis, see https://ohiomushroomsociety.wordpress.com/ It’s that time of year again, when people in the Midwestern US go nuts for morel mushrooms. Although fairly common in Western Pennsylvania, Ohio, Indiana, Illinois, Wisconsin, and, especially, Michigan1, they can still be tricky to find due to the vagaries of weather and mysteries...

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A perfectly normally distributed sample: another post?

May 12, 2019
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A perfectly normally distributed sample: another post?

Recently, we published a post presenting a small convenience function, from the bayestestR package. This function, named rnorm_perfect, generated an empirical distribution (i.e., a vector of values) as close as possible to a desired distribution, in...

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Deep (learning) like Jacques Cousteau – Part 4 – Scalar multiplication

Deep (learning) like Jacques Cousteau – Part 4 – Scalar multiplication

(TL;DR: Multiply a vector by a scalar one element at a time.)

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Quick Hit: Updates to QuickLookR and {rdatainfo}

May 12, 2019
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Quick Hit: Updates to QuickLookR and {rdatainfo}

I’m using GitUgh links here b/c the issue was submitted there. Those not wishing to be surveilled by Microsoft can find the macOS QuickLook plugin project and {rdatainfo} project in SourceHut and GitLab (~hrbrmstr and hrbrmstr accounts respectively). I hadn’t touched QuickLookR?? or {rdatainfo}?? at all since 2016 since it was really just an example... Continue reading →

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Earthquake Analysis (3/4): Visualizing Data on Maps

May 12, 2019
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Earthquake Analysis (3/4): Visualizing Data on Maps

Interested in guest posting? We would love to share your codes and ideas with our community. Categories Basic Statistics Tags Data Visualisation ggplot2 Maps R Programming Tips & Tricks This is the third part of our post series about the exploratory analysis of a publicly available dataset reporting earthquakes and similar events within a specific 30 days time span. In this post, we are going to show static,...

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Make it explainable!

May 12, 2019
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Make it explainable!

Most people make the mistake of thinking design is what it looks like… People think it’s this veneer — that the designers are handed this box and told, ?Make it look good!’ That’s not what we think design is. It’s not just what it looks like and feels like. Design is how it works. Steve … Czytaj dalej Make...

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The Secret of Landusia: A Text Adventure in the R Language

May 12, 2019
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The Secret of Landusia: A Text Adventure in the R Language

Text adventures dominated the computer gaming world in the 1980s. This article explains how to write interactive fiction using the R language., The post The Secret of Landusia: A Text Adventure in the R Language appeared first on The Lucid Manager.

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Gamma Process Prior for Semiparametric Survival Analysis

May 11, 2019
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Gamma Process Prior for Semiparametric Survival Analysis

Motviation The Gamma Process Prior Independent Hazards Correlated Hazards Heads up: equations may not render on blog aggregation sites. See original post here for good formatting. If you like this post, you can follow me on twitter. Motviation Suppose we observe survival/event times from some distribution \ where \(f\) is the density and \(F(t)=1-S(t)\) is the corresponding CDF expressed in terms of the...

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RcppArmadillo 0.9.400.3.0

RcppArmadillo 0.9.400.3.0

The recent 0.9.400.2.0 release of RcppArmadillo required a bug fix release. Conrad follow up on Armadillo 9.400.2 with 9.400.3 – which we packaged (and tested extensively as usual). It is now on CRAN and will get to Debian shortly. Armadillo is a ...

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winedApp: Wine Recommendation and Data Analysis Web App

May 11, 2019
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winedApp: Wine Recommendation and Data Analysis Web App

About? Don't wind up with the wrong wine at the wrong time: unwind with the world's best! winedApp provides insights into prices, ratings, descriptions, and geographic distribution of the world's most esteemed wines. Novice or connoisseur, consumer or seller, this app will meet your oenophile needs. In the Wine Explorer, you can enter your location,

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What is “Tidy Data”?

May 11, 2019
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I would like to write a bit on the meaning and history of the phrase “tidy data.” Hadley Wickham has been promoting the term “tidy data.” For example in an eponymous paper, he wrote: In tidy data: Each variable forms a column. Each observation forms a row. Each type of observational unit forms a table. … Continue reading What...

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Big Data-4: Webserver log analysis with RDDs, Pyspark, SparkR and SparklyR

May 11, 2019
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Big Data-4: Webserver log analysis with RDDs, Pyspark, SparkR and SparklyR

“There’s something so paradoxical about pi. On the one hand, it represents order, as embodied by the shape of a circle, long held to be a symbol of perfection and eternity. On the other hand, pi is unruly, disheveled in appearance, its digits obeying no obvious rule, or at least none that we can perceive. … Continue reading Big...

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Kernel spatial smoothing : transforming points pattern to continuous coverage

May 11, 2019
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Kernel spatial smoothing : transforming points pattern to continuous coverage

Representing mass data (inhabitants, livestock,…) on a map in not always easy : choropleth maps are clearly a no-go, except if you normalize with area and then you stumble on the MAUP… A nice solution is smoothing, producing a raster. You even get freebies like (potential) statistical confidentiality, a better geographic synthesis and easy multiple … Continuer la lecture...

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Porting and redirecting a Hugo-based blogdown website to an HTTPS-enabled custom domain and how to do it the easy way

May 11, 2019
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Porting and redirecting a Hugo-based blogdown website to an HTTPS-enabled custom domain and how to do it the easy way

Introduction As we wrote in Should you start your R blog now?, blogging has probably never been more accessible to the general population, R users included. Usually, the simplest solution is to host your blog via a service that provides it for free, such as Netlify, GitHub or GitLab Pages. But what if you want to host that awesome blog...

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What’s that disease called? Overview of icd package

May 10, 2019
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What’s that disease called? Overview of icd package

Intro There are many illnesses and diseases known to man. How do the various stakeholders in the medical science industry classify the same illness? The illness will need to be coded in a standardized manner to aid in fair reimbursements and concise reporting of diseases. The International Classification of Diseases (ICD) provides this uniform coding system. The ICD “is the...

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Easily explore your data using the summarytools package

May 10, 2019
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Easily explore your data using the summarytools package

Whenever we start working with data with which we are not familiar, our first step is usually some kind of exploratory data analysis. We may look at the structure of the data using the str function, or use a tool like the RStudio Viewer to examine the data. We might also use the base R function summary or the...

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