Monthly Archives: March 2017

Are you fluent in R?

March 30, 2017
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Are you fluent in R?

Do you want a data science job? You need to become fluent at writing data science code ... The post Are you fluent in R? appeared first on SHARP SIGHT LABS.

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Most Popular Learners in mlr

March 29, 2017
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For the development of mlr as well as for an “machine learning expert” it can be handy to know what are the most popular learners used. Not necessarily to see, what are the top notch performing methods but to see what is used “out there” in the real world. Thanks to the nice little package cranlogs from metacran you can...

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Data Pseudo-Science: Developing a Biorhythm Calculator

March 29, 2017
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Data Pseudo-Science: Developing a Biorhythm Calculator

Data science is a pretty serious occupation. What about data pseudoscience? This blog post shows how to calculate your biorhythm using R. Continue reading → The post Data Pseudo-Science: Developing a Biorhythm Calculator appeared first on The Devil is in the Data.

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Massively-parallel computations on Azure clusters with R, made easy with doAzureParallel

March 29, 2017
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Massively-parallel computations on Azure clusters with R, made easy with doAzureParallel

by JS Tan (Program Manager, Microsoft) For users of the R language, scaling up their work to take advantage of cloud-based computing has generally been a complex undertaking. We are therefore excited to announce doAzureParallel, a lightweight R package built on Azure Batch that allows you to easily use Azure’s flexible compute resources right from your R session. The...

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R and Singularity

March 29, 2017
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by Bryan Lewis R (https://www.r-project.org) is a premier system for statistical and scientific computing and data science. At its core, R is a very carefully curated high-level interface to low-level numerical libraries. True to this principle, R packages have greatly expanded the scope and number of these interfaces over the years, among them interfaces to

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Coordinatized Data: A Fluid Data Specification

March 29, 2017
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Coordinatized Data: A Fluid Data Specification

Authors: John Mount and Nina Zumel. Introduction It’s been our experience when teaching the data wrangling part of data science that students often have difficulty understanding the conversion to and from row-oriented and column-oriented data formats (what is commonly called pivoting and un-pivoting). Boris Artzybasheff illustration Real trust and understanding of this concept doesn’t fully … Continue reading Coordinatized...

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R Improvements for Bio7 2.5

March 29, 2017
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31.03.2017 The next release of Bio7 comes with many new R features and improvements which were integrated since the last release. In this post I like to present a subset of some new R documentation features of the upcoming Bio7 2.5 release. 1. R Markdown Editor: I improved the R markdown editor of Bio7 and

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#1: Easy Package Registration

March 29, 2017
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Welcome to the first actual post in the R4 series, following the short announcement earlier this week. Context Last month, Brian Ripley announced on r-devel that registration of routines would now be tested for by R CMD check in r-devel (which by next month will become R 3.4.0). A NOTE will be issued now, this will presumably turn into a WARNING...

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Burtin’s Antibiotics visualization in Plotly and R

March 29, 2017
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In this post, we’ll try to re-create Burtin’s antibiotics visualization using Plotly. The post follows Mike Bostock’s original re-creation in Protovis. See here.

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Creating custom Sankey diagrams using R

March 28, 2017
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Creating custom Sankey diagrams using R

I have previously shown how Sankey diagrams can easily be used to visualize response patterns in surveys and to display decision trees. Following on from these posts, I will now be getting a bit more technical,...

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