“Print hello”​ is not enough. A collection of Hello world functions.

December 15, 2017
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“Print hello”​ is not enough. A collection of Hello world functions.

I guess I wrote my R “hello world!” function 7 or 8 years ago while approaching R for the first time. And it is too little to illustrate the basic syntax of a programming language for a working program to a wannabe R programmer. Thus, here follows a collection of basic functions that may help … Continue reading “Print...

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NIPS 2017 Summary

December 15, 2017
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NIPS 2017 Summary

Some (opinionated) themes and highlights from this year’s NIPS conference:

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Inter-operate with ‘MQTT’ Message Brokers With R (a.k.a. Live! BBC! Subtitles!)

December 14, 2017
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Inter-operate with ‘MQTT’ Message Brokers With R (a.k.a. Live! BBC! Subtitles!)

Most of us see the internet through the lens of browsers and apps on our laptops, desktops, watches, TVs and mobile devices. These displays are showing us — for...

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Getting started with seplyr

December 14, 2017
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Getting started with seplyr

A big “thank you!!!” to Microsoft for hosting our new introduction to seplyr. If you are working R and big data I think the seplyr package can be a...

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Pipes in R Tutorial For Beginners

December 14, 2017
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Pipes in R Tutorial For Beginners

You might have already seen or used the pipe operator when you're working with packages such as dplyr, magrittr,… But do you know where pipes and the famous %__%...

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An introduction to seplyr

December 14, 2017
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An introduction to seplyr

by John Mount, Win-Vector LLC (https://winvector.github.io/seplyr/) is an (https://www.r-project.org) package that supplies improved standard evaluation interfaces for many common data wrangling tasks. The core of `seplyr` is a re-skinning...

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Comparing smooths in factor-smooth interactions II

December 14, 2017
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Comparing smooths in factor-smooth interactions II

In a previous post I looked at an approach for computing the differences between smooths estimated as part of a factor-smooth interaction using s()’s by argument. When a common-or-garden...

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archivist: Boost the reproducibility of your research

December 14, 2017
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archivist: Boost the reproducibility of your research

A few days ago Journal of Statistical Software has published our article (in collaboration with Marcin Kosiński) archivist: An R Package for Managing, Recording and Restoring Data Analysis Results....

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#13: (Much) Faster Package (Re-)Installation via Binaries

December 13, 2017
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#13: (Much) Faster Package (Re-)Installation via Binaries

Welcome to the thirteenth post in the ridiculously rapid R recommendation series, or R4 for short. A few days ago we riffed on faster installation thanks to ccache. Today...

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RVowpalWabbit 0.0.10

December 13, 2017
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A boring little RVowpalWabbit package update to version 0.0.10 came in response to another CRAN request: We were switching directories to run tests (or examples) which is now...

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Team Rtus wins Munich Re Datathon with mlr

December 13, 2017
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Team Rtus wins Munich Re Datathon with mlr

Blog Post “Rtus @ Munich Re Datathon” On the weekend of November 17. - 19. five brave data-knights from team “Rtus and the knights of the data.table” took on the...

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Image Classification on Small Datasets with Keras

Image Classification on Small Datasets with Keras

Deep Learning with R This post is an excerpt from Chapter 5 of François Chollet’s and J.J. Allaire’s book, Deep Learning with R (Manning Publications). Use the code fccallaire for...

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R in the Windows Subsystem for Linux

December 13, 2017
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R in the Windows Subsystem for Linux

R has been available for Windows since the very beginning, but if you have a Windows machine and want to use R within a Linux ecosystem, that's easy to...

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Color palettes derived from the Dutch masters

December 13, 2017
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Color palettes derived from the Dutch masters

Among tulip fields, canals and sampling cheese, the museums of the Netherlands are one of its biggest tourist attractions. And for very good reasons! During the seventeenth century, known...

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Mapping oil production by country in R

December 13, 2017
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Mapping oil production by country in R

This week, here's another map: a map of world oil production that you can create using R. As I've mentioned, projects like this – a few hundred lines of code,...

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Dummy Variable for Examining Structural Instability in Regression: An Alternative to Chow Test

December 13, 2017
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Dummy Variable for Examining Structural Instability in Regression: An Alternative to Chow Test

One of the fast growing economies in the era of globalization is the Ethiopian economy. Among the lower income group countries, it has emerged as one of the rare...

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Serving shiny apps in the internet with your own server

December 13, 2017
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- In this post I’ll share my...

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Introduction to Skewness

December 12, 2017
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Introduction to Skewness

In previous posts here, here, and here, we spent quite a bit of time on portfolio volatility, using the standard deviation of returns as a proxy for volatility. Today...

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A minimal Project Tree in R

December 12, 2017
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A minimal Project Tree in R

You can also check this post, written in #blogdown, here: minimal-project-tree-r. Introduction The last two days arrived at my twitter feed some discussions on how bad are the following...

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A chart of Bechdel Test scores

December 12, 2017
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A chart of Bechdel Test scores

A movie is said to satisfy the Bechdel Test if it satisfies the following three criteria: The movie has at least two named female characters ... who have a...

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Leveraging pipeline in Spark trough scala and Sparklyr

December 12, 2017
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Intro Pipeline concept is definitely not new for software world, Unix pipe operator (|) links two tasks putting the output of one as the input of the other. In...

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New R Course: Introduction to the Tidyverse!

December 12, 2017
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New R Course: Introduction to the Tidyverse!

Hi! Big announcement today as we just launched Introduction to the Tidyverse R course by David Robinson! This is an introduction to the programming language R, focused on a...

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Using Microsoft’s Azure Face API to analyze videos (in R)

December 12, 2017
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Using Microsoft’s Azure Face API to analyze videos (in R)

Microsoft had a cool API called “Emotion API”. With it you could submit a URL of a video, and the API would return a json file with the faces...

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Be a BigBallR in #rstats : Stayeth or Switcheth

December 12, 2017
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Be a BigBallR in #rstats : Stayeth or Switcheth

If you’re a Big Baller, you know when to stayeth in your lane but also when to switcheth lanes. The Big Baller Brand brothers just inked a deal to...

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When a Tweet Turns Into an R Package

December 12, 2017
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When a Tweet Turns Into an R Package

Reproduced with the kind permission of our Head of Data Engineering, Mark Sellors and first published on his blog When a Tweet Turns Into an R Package Boy, that escalated...

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Point Pattern Analysis using Ecological Methods in R

December 12, 2017
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Point Pattern Analysis using Ecological Methods in R

Here is a quick example for how to get started with some of the more sophisticated point pattern analysis tools that have been developed for ecologists – principally the...

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A Not So Simple Bar Plot Example Using ggplot2

December 12, 2017
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A Not So Simple Bar Plot Example Using ggplot2

This is a reproduction of the (simple) bar plot of chapter 6.1.1 in Datendesign mit R...

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Stock-Recruitment Graphing Questions

December 12, 2017
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Stock-Recruitment Graphing Questions

A fishR user recently asked me In the book that you published, I frequently use the stock-recruit curve code. The interface that shows both...

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Explaining Predictions of Machine Learning Models with LIME – Münster Data Science Meetup

December 11, 2017
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Explaining Predictions of Machine Learning Models with LIME – Münster Data Science Meetup

Slides from Münster Data Science Meetup These are my slides from the Münster Data Science Meetup on December 12th, 2017. My sketchnotes were collected from these two podcasts: https://twimlai.com/twiml-talk-7-carlos-guestrin-explaining-predictions-machine-learning-models/ https://dataskeptic.com/blog/episodes/2016/trusting-machine-learning-models-with-lime Sketchnotes: TWiML Talk #7...

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