intsvy: PISA for research and PISA for teaching

November 14, 2017
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intsvy: PISA for research and PISA for teaching

The Programme for International Student Assessment (PISA) is a worldwide study of 15-year-old school pupils’ scholastic performance in mathematics, science, and reading. Every three years more than 500 000 pupils from 60+ countries are surveyed along with their parents and school representatives. The study yields in more than 1000 variables concerning performance, attitude and context … Czytaj dalej intsvy:...

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Functional peace of mind

November 13, 2017
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I think what I enjoy the most about functional programming is the peace of mind that comes with it. With functional programming, there’s a lot of stuff you don’t need to think about. You can write functions that are general enough so that they solve a variety of problems. For example, imagine for a second that R does not...

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Come and work with me

November 13, 2017
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I have funding for a new post-doctoral research fellow, on a 2-year contract, to work with me and Professor Kate Smith-Miles on analysing large collections of time series data. We are particularly seeking someone with a PhD in computational statistics ...

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2017 rOpenSci ozunconf :: Reflections and the realtime Package

2017 rOpenSci ozunconf :: Reflections and the realtime Package

This year’s rOpenSci ozunconf was held in Melbourne, bringing together over 45 R enthusiasts from around the country and beyond. As is customary, ideas for projects were discussed in GitHub Issues (41 of them by the time the unconf rolled around!) and there was no shortage of enthusiasm, interesting concepts, and varied experience. I’ve been to a few unconfs now...

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Updated curl package provides additional security for R on Windows

November 13, 2017
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There are many R packages that connect to the internet, whether it's to import data (readr), install packages from Github (devtools), connect with cloud services (AzureML), or many other web-connected tasks. There's one R package in particular that provides the underlying connection between R and the Web: curl, by Jeroen Ooms, who is also the new maintainer for R...

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Twitter Outer Limits : Seeing How Far Have Folks Fallen Down The Slippery Slope to “280” with rtweet

November 13, 2017
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Twitter Outer Limits : Seeing How Far Have Folks Fallen Down The Slippery Slope to “280” with rtweet

By now, virtually every major media outlet has covered the “280 Apocalypse”™. For those still not “in the know”, Twitter recently moved the tweet character cap to 280 after a “successful” beta test (some of us have different ideas of what “success” looks like). I had been on a hiatus from the platform for a... Continue reading →

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normal variates in Metropolis step

November 13, 2017
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normal variates in Metropolis step

A definitely puzzled participant on X validated, confusing the Normal variate or variable used in the random walk Metropolis-Hastings step with its Normal density… It took some cumulated efforts to point out the distinction. Especially as the originator of the question had a rather strong a priori about his or her background: “I take issue

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Spatial networks – case study St James centre, Edinburgh (2/3)

November 13, 2017
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Spatial networks – case study St James centre, Edinburgh (2/3)

This is part two in a series I'm writing on network analysis. The first part is here. In this section I'm going to cover allocating resources, again using the St James' development in Edinburgh as an example. Most excitingly (for me) the end of this post covers the impact of changes in resource allocation.

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SQL Saturday statistics – Web Scraping with R and SQL Server

November 13, 2017
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SQL Saturday statistics – Web Scraping with R and SQL Server

I wanted to check a simple query: How many times has a particular topic been presented and from how many different presenters. Sounds interesting, tackling the problem should not be a problem, just that the end numbers may vary, since there will be some text analysis included. First of all, some web scraping and getting … Continue reading SQL...

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Visualizing classifier thresholds

November 13, 2017
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Visualizing classifier thresholds

Lately I’ve been thinking a lot about the connection between prediction models and the decisions that they influence. There is a lot of theory around this, but communicating how the various pieces all fit together with the folks who will use and be impacted by these decisions can be challenging. One of the important conceptual pieces

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New Project: Data Science Instruction at the US Census Bureau!

November 13, 2017
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New Project: Data Science Instruction at the US Census Bureau!

Today I am delighted to announce an exciting new collaboration. I will be working with the US Census Bureau as a Data Science Instructor! Over... The post New Project: Data Science Instruction at the US Census Bureau! appeared first on AriLamstein.com.

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Make memorable plots with memery. v0.3.0 now on CRAN.

November 13, 2017
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Make memorable plots with memery. v0.3.0 now on CRAN.

Make memorable plots with memery. memery is an R package that generates internet memes including superimposed inset graphs and other atypical features, combining the visual impact of an attention-grabbing meme with graphic results of data analysis. Version 0.3.0 of memery is now on CRAN. The latest development version and a package vignette are available on

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Update on coordinatized or fluid data

November 12, 2017
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Update on coordinatized or fluid data

We have just released a major update of the cdata R package to CRAN. If you work with R and data, now is the time to check out the cdata package. Among the changes in the 0.5.* version of cdata package: All coordinatized data or fluid data operations are now in the cdata package (no … Continue reading Update...

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ShinyProxy 1.0.2

November 12, 2017
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ShinyProxy 1.0.2

ShinyProxy is a novel, open source platform to deploy Shiny apps for the enterprise or larger organizations. Since our last blog post ten new releases of ShinyProxy have seen the light, but with the 1.0.2 release it is time to provide an overview of the lines of development and advances made. Scalability ShinyProxy now allows to run 1000s of Shiny apps concurrently on a...

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Measuring & Monitoring Internet Speed with R

November 11, 2017
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Measuring & Monitoring Internet Speed with R

Working remotely has many benefits, but if you work remotely in an area like, say, rural Maine, one of those benefits is not massively speedy internet connections. Being able to go fast and furious on the internet is one of the many things I miss about our time in Seattle and it is unlikely that... Continue reading →

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Creating integer64 and nanotime vectors in C++

November 10, 2017
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Creating integer64 and nanotime vectors in C++

Motivation: More Precise Timestamps R has excellent facilities for dealing with both dates and datetime objects. For datetime objects, the POSIXt time type can be mapped to POSIXct and its representation of fractional seconds since the January 1, 1970 “epoch” as well as to the broken-out list representation in POSIXlt. Many add-on packages use these facilities. POSIXct uses a double to provide 53 bits...

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Stan Roundup, 10 November 2017

November 10, 2017
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We’re in the heart of the academic season and there’s a lot going on. James Ramsey reported a critical performance regression bug in Stan 2.17 (this affects the latest CmdStan and PyStan, not the latest RStan). Sean Talts and Daniel Lee diagnosed the underlying problem as being with the change from char* to std::string arguments—you The post Stan Roundup,...

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.rprofile: Mara Averick

.rprofile: Mara Averick

Mara Averick is a non-profit data nerd, NBA stats junkie, and most recently, tidyverse developer advocate at RStudio. She is the voice behind two very popular Twitter accounts, @dataandme and @batpigandme. Mara and I discussed sports analytics, how attending a cool conference can change the approach to your career, and how she uses Twitter as a mechanism for self-imposed...

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Gold-Mining – Week 10 (2017)

November 9, 2017
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Week 10 Gold Mining and Fantasy Football Projection Roundup now available. Go get that free agent gold! The post Gold-Mining – Week 10 (2017) appeared first on Fantasy Football Analytics.

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Recap: EARL Boston 2017

November 9, 2017
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By Emmanuel Awa, Francesca Lazzeri and Jaya Mathew, data scientists at Microsoft A few of us got to attend EARL conference in Boston last week which brought together a group of talented users of R from academia and industry. The conference highlighted various Enterprise Applications of R. Despite being a small conference, the quality of the talks were great...

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Announcing “Introduction to the Tidyverse”, my new DataCamp course

November 9, 2017
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Announcing “Introduction to the Tidyverse”, my new DataCamp course

For the last few years I’ve been encouraging a particular approach to R education, particularly teaching the dplyr and ggplot2 packages first and introducing real datasets early on. This week I’m excited to announce the next step: the release of Introduction to the Tidyverse, my new interactive course on the DataCamp platform. The course is an introduction to the dplyr...

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R live class | R with Database and Big Data | Nov 21-22 Milan

November 9, 2017
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R live class | R with Database and Big Data | Nov 21-22 Milan

R with Database and Big Data, our fifth autumnal class, presents the latest techniques to work with big data within the R environment. The large amount of data available nowadays is a tangled and hidden source of knowledge: being able to quickly and effectively unravel high value information from the vastness of data is the most powerful driver for...

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How Happy is Your Country? — Happy Planet Index Visualized

November 9, 2017
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How Happy is Your Country? — Happy Planet Index Visualized

The Happy Planet Index (HPI) is an index of human well-being and environmental impact that was introduced by NEF, a UK-based economic think tank promoting social, economic and environmental justice. It ranks 140 countries according to “what matters most — sustainable wellbeing for all”. This is how HPI is calculated: It’s tells us “how well nations are Related Post Exploring, Clustering, and...

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Formal ways to compare forecasting models: Rolling windows

November 8, 2017
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Formal ways to compare forecasting models: Rolling windows

By Gabriel Vasconcelos Overview When working with time-series forecasting we often have to choose between a few potential models and the best way is to test each model in pseudo-out-of-sample estimations. In other words, we simulate a forecasting situation where … Continue reading →

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Introduction to Visualizing Asset Returns

November 8, 2017
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Introduction to Visualizing Asset Returns

In a previous post, we reviewed how to import daily prices, build a portfolio, and calculate portfolio returns. Today, we will visualize the returns of our individual assets that ultimately get mashed into a portfolio. The motivation here is to make sure we have scrutinized our assets before they get into our portfolio, because once the portfolio has been...

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bridgesampling [R package]

November 8, 2017
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bridgesampling [R package]

Quentin F. Gronau, Henrik Singmann and Eric-Jan Wagenmakers have arXived a detailed documentation about their bridgesampling R package. (No wonder that researchers from Amsterdam favour bridge sampling!) tutorial on bridge sampling by Gronau et al. that I will hopefully comment soon.] The bridge sampling methodology for marginal likelihood

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Calculating the house edge of a slot machine, with R

November 8, 2017
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Calculating the house edge of a slot machine, with R

Modern slot machines (fruit machine, pokies, or whatever those electronic gambling devices are called in your part of the world) are designed to be addictive. They're also usually quite complicated, with a bunch of features that affect the payout of a spin: multiple symbols with different pay scales, wildcards, scatter symbols, free spins, jackpots ... the list goes on....

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Creating Reporting Template with Glue in R

November 8, 2017
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Report Generation is a very important part in any Organization’s Business Intelligence and Analytics Division. The ability to create automated reports out of the given data is one of the most desirable things, that any innovative team would thrive for. And that is one area where SAS is considered to be more matured than R Related Post Predict Employee Turnover...

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R / Finance 2018 Call for Papers

November 8, 2017
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The tenth (!!) annual annual R/Finance conference will take in Chicago on the UIC campus on June 1 and 2, 2018. Please see the call for papers below (or at the website) and consider submitting a paper. We are once again very excited about our conference, thrilled about who we hope may agree to be our anniversary keynotes, and hope...

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