Right Now It’s KDA…Asset Allocation.

January 24, 2019
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Right Now It’s KDA…Asset Allocation.

This post will introduce KDA Asset Allocation. KDA — I.E. Kipnis Defensive Adaptive Asset Allocation is a combination of Wouter … Continue reading →

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Quick Hit: Automating Production Graphics Uploads in R Markdown Documents with googledrive

January 24, 2019
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Quick Hit: Automating Production Graphics Uploads in R Markdown Documents with googledrive

As someone who measures all kinds of things on the internet as part of his $DAYJOB, I can say with some authority that huge swaths of organizations are using cloud-services such as Google Apps, Dropbox and Office 365 as part of their business process workflows. For me, one regular component that touches the “cloud” is... Continue reading →

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ELK+R Stack

January 24, 2019
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ELK+R Stack

Elasticsearch is a search engine based on the Lucene library. It provides a distributed full-text search engine with an HTTP web interface and schema-free JSON documents. Elasticsearch is becoming the bigger player in the technology for documents search in the noSQL space and is actually experiencing a great development phase (6 versions in few years … Continua a leggere...

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Zen and The Art of Competing Against MBA’s

January 24, 2019
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Zen and The Art of Competing Against MBA’s

“I appreciate your ambition, but we’re looking for an MBA…” My senior manager smiled and indicated the topic was closed. Despite the fact I was The post Zen and The Art of Competing Against MBA’s appeared first on ProgrammingR.

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stringfix : new R package for string manipulation in a %>% way

January 23, 2019
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I usually write around here in french and mainly report on French Hospitals data managment and the statistical tasks they imply. As today’s post is about a new package I have created, I’ll be writing in english. The package is called stringfix beca...

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Let’s call it tidysearch

January 23, 2019
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R became 25 years old last year, and yet it’s only in relatively recent years that the language has really taken off with numerous conferences every year driven by a passionate and vibrant community of users. A large part of this has been driven by a...

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Animating Data Transformations III – separate()

January 23, 2019
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Animating Data Transformations III – separate()

We recently have published two blogs on animating data transformations. The first, Animating Data Transformations, illustrated the spread() and gather() functions for going between wide and tall representations of data. The second, Animating Data Transformations II, covered the unnest() function for transforming a list column into a one value per row format. Today, we’re going to… Read More → The post Animating...

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Le Monde puzzle [#1081]

January 23, 2019
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Le Monde puzzle [#1081]

A “he said-she said” Le Monde mathematical puzzle (again in the spirit of the famous Singapore high-school birthdate problem): Abigail and Corentin are both given a positive integer, a and b, such that a+b is either 19 or 20. They are asked one after the other and repeatedly if they are sure of the other’s

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Introduction to Data Analysis in RStudio

January 23, 2019
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Introduction to Data Analysis in RStudio

I’ve just started doing one of my favourite parts of my job – teaching a term of Data Analysis in R to about three hundred Bioscientists in their first year of higher education. My blog last week included a figure of their expected level of enjoyment: However,  I find they become very competent in both statistics… Continue reading Introduction to...

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LondonR calling

January 23, 2019
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LondonR calling

It’s the New Year and we’re kicking off 2019 with our first LondonR! The meetup took place on the 15th of January, and we were delighted to have about 100 people in attendance. With excellent speakers lined-up and a free bar for networking, we started 2019 with a BANG! Please find all the presentations here. Dawid Kaledkowski, ClickMeeting – Using sport package to...

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If wealth had anything to do with intelligence…

January 23, 2019
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If wealth had anything to do with intelligence…

…the richest man on earth would have a fortune of no more than $43,000! If you don’t believe me read this post! Have you ever thought about the distribution of wealth as a function of some quality? Especially rich people pride themselves on extraordinary abilities, so that they somehow “deserve” their wealth. Now “abilities” is … Continue reading "If...

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Why Management Loves Overfitting

January 22, 2019
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The role of a data scientist involves building and fine-tuning of models and improve processes and products in various business areas. Typical use cases involve marketing campaigns, customer churn prediction or fraud detection. Trained models should...

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Why Management Loves Overfitting

January 22, 2019
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The role of a data scientist involves building and fine-tuning of models and improve processes and products in various business areas. Typical use cases involve marketing campaigns, customer churn prediction or fraud detection. Trained models should...

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Onboard and Offboard Data Manipulation in Flexdashboard

January 22, 2019
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Harrison Schramm is a Professional Statistician and Non-Resident Senior Fellow at the Center for Strategic and Budgetary Assessments. The Shiny set of tools, and, by extension, Flexdashboard, give professional analysts tools to rapidly put interactive versions of their work in the hands of clients. Frequently, an end user will interact with data by either uploading or downloading a new...

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How to prepare data for NLP (text classification) with Keras and TensorFlow

January 22, 2019
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How to prepare data for NLP (text classification) with Keras and TensorFlow

In the past, I have written and taught quite a bit about image classification with Keras (e.g. here). Text classification isn’t too different in terms of using the Keras principles to train a sequential or function model. You can even use Convolutional Neural Nets (CNNs) for text classification. What is very different, however, is how to prepare raw text data for...

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RStudio Server on Azure

January 22, 2019
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RStudio Server on Azure

RStudio Server Pro is now available on the Azure Marketplace, the company announced on the RStudio Blog earlier this month. This means you can launch RStudio Server Pro on an virtual machine with the memory, disk, and CPU configuration of your choice, and pay by the minute for the VM instance plus a the RStudio software charge. Then, you...

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Image Dithering in R

January 22, 2019
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Image Dithering in R

This January I played the most intriguing computer game I’ve played in ages: The Return of the Obra Dinn. Except for being a masterpiece of murder-mystery storytelling it also has the most unique art-style as it only uses black and white pixels. To...

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Tibbles, checking examples, & character encodings

January 22, 2019
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Recently I’ve been preparing my gratia package for submission to CRAN. During my pre-flight testing I noticed an issue under Windows checking the examples in the package against the reference output I generated on linux. In the latest release of the tibble package, the way tibbles are printed has changed subtly and in a way that leads to cross-platform...

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What’s the deal with wind chill?

January 22, 2019
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What’s the deal with wind chill?

WIND SPEEDS UP HEAT LOSS Twenty years ago, a German colleague asked me what the deal was with wind chill. I guess they didn’t have it in Germany. I explained it was an attempt to communicate how it feels when there is a low temperature combined with wind.  But my colleague wanted to know how The post What’s the...

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rstudio::conf 2019

January 22, 2019
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Last week RStudio hosted their conference, rstudio::conf, in Austin and a whole lot of members of the R community came to see what’s new, where the community and the field might be heading and to enjoy tacos. R in production A major theme from this conference was R in production. Joe Cheng kicked this one off in his keynote about Shiny in...

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An introduction to Stan with R

January 21, 2019
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An introduction to Stan with R

Stan is a probabilistic programming language for specifying statistical models. Stan provides full Bayesian inference for continuous-variable models through Markov Chain Monte Carlo methods such as the No-U-Turn sampler, an adaptive form of Hamiltonian Monte Carlo sampling. Penalized maximum likelihood estimates are calculated using optimization methods such as the limited memory Broyden-Fletcher-Goldfarb-Shanno algorithm. Stan can be called through R...

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Correlated longitudinal data with varying time intervals

January 21, 2019
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Correlated longitudinal data with varying time intervals

I was recently contacted to see if simstudy can create a data set of correlated outcomes that are measured over time, but at different intervals for each individual. The quick answer is there is no specific function to do this. However, if you are willing to assume an “exchangeable” correlation structure, where measurements far apart in time are just...

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wateRinfo – Downloading tidal data to understand the behaviour of a migrating eel

wateRinfo – Downloading tidal data to understand the behaviour of a migrating eel

Do you know what that sound is, Highness? Those are the Shrieking Eels — if you don’t believe me, just wait. They always grow louder when they’re about to feed on human flesh. If you swim back now, I promise, no harm will come to you. I doubt you will get such an offer from the Eels. Vizzini, The Princess...

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The Shiny Module Design Pattern

January 21, 2019
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Foremost in your mind should be the quintessential reality of R: Everything that happens in R is the result of a function call. Shiny is no exception. To write a minimal shiny app, you create an object that describes your app’s user interface, write a function describing runtime behaviors, and pass them into a function … Continue reading The...

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Chaining effect in clustering

January 21, 2019
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Chaining effect in clustering

In a previous blog post, I explained how we can leverage the k-means clustering algorithm to count the number of red baubles on a Christmas tree. This method fails however if we put Christmas tinsels on it. Let’s find a solution for this more difficult case. Filter red points Let's first proceed as we did for Christmas baubles by filtering the...

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R Studio Conf 2019 – Easing your FOMO with R Resources

January 21, 2019
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R Studio Conf 2019 – Easing your FOMO with R Resources

Aiming to ease your RStudio::Conf FOMO by sharing as much R and conference information as possible. The goal is to help everyone feel included, ready to level up their R skills and engage with the community!

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hrbrthemes 0.6.0 on CRAN + Other In-Development Package News

January 21, 2019
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hrbrthemes 0.6.0 on CRAN + Other In-Development Package News

Version 0.6.0 of the hrbrthemes🔗 package should be hitting a CRAN mirror near you soon. Apart from some general documentation and code cleanup this release includes the dark theme folks have been seeing in blog posts and tweets over the past few months. It’s called theme_ft_rc() since it is an homage to the wonderful new... Continue reading →

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A shiny Web App from LEGO— truck + trailer

January 21, 2019
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A shiny Web App from LEGO— truck + trailer

How to Build a Shiny “Truck” part 2 — Let the LEGO “truck” app pull a trailer. An example of a modularized shiny app. In September 2018 I used an automotive metaphor explaining a large scale R shiny app. RViews published the article. I would summarize the article in one phrase. Upon building large applications (trucks) in R shiny there are a lot...

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RServe: Getting Started

January 20, 2019
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Rserve is a server which allows other programs to use the facilities of R via TCP/IP. Installing Since Rserve gets installed to system folders, you need to do the install as the root user. # Become root. $ sudo su # Run R as root. $ R __ install.packages("Rserve") Running To launch as a daemon. $ R CMD Rserve To launch in debug mode. $ R CMD Rserve.dbg

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