R 3.3.0 is released!

May 3, 2016
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R 3.3.0 is released!

R 3.3.0 (codename “Supposedly Educational”) was released today. You can get the latest binaries version from here. (or the .tar.gz source code from here). The full list of new features and bug fixes is provided below. Upgrading to R 3.3.0 on Windows If you are using Windows you can easily upgrade to the latest version of R using the installr package. … Continue reading...

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Cross-Validation for Predictive Analytics Using R

May 3, 2016
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Cross-Validation for Predictive Analytics Using R

Cross-validation is a widely used model selection method. We show how to implement it in R using both raw code and the functions in the caret package. The post Cross-Validation for Predictive Analytics Using R appeared first on MilanoR.

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Numerical pitfalls in computing variance

May 3, 2016
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One of the most common tasks in statistical computing is computation of sample variance. This would seem to be straightforward; there are a number of algebraically equivalent ways of representing the sum of squares (S), such as or and...

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Using Docker as a Personal Productivity Tool – Running Command Line Apps Bundled in Docker Containers

May 3, 2016
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Using Docker as a Personal Productivity Tool – Running Command Line Apps Bundled in Docker Containers

With its focus on enterprise use, it’s probably with good reason that the Docker folk aren’t that interested in exploring the role that Docker may have to play as a technology that supports the execution of desktop applications, or at least, applications for desktop users. (The lack of significant love for Kitematic seems to be

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Build a Gradient Boosted Trees Model with Microsoft R Server

May 3, 2016
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Build a Gradient Boosted Trees Model with Microsoft R Server

by Yuzhou Song, Microsoft Data Scientist R is an open source, statistical programming language with millions of users in its community. However, a well-known weakness of R is that it is both single threaded and memory bound, which limits its ability to process big data. With Microsoft R Server (MRS), the enterprise grade distribution of R for advanced analytics,...

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Launch Bonuses for Shapefiles for R Programmers

May 3, 2016
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Launch Bonuses for Shapefiles for R Programmers

Yesterday I announced two webinars that I will be running to celebrate the launch of my new course, Shapefiles for R Programmers. Today I’m announcing two bonuses that I’m giving to people who buy the course by Thursday at 5pm PT: A 15% discount (save $15)! An invitation to a special Q&A webinar with me Click here to learn The post

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Introduction to R for Excel Users

May 3, 2016
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Introduction to R for Excel Users

When all you have is a hammer...Engineers and scientists, Excel is the hammer. #Rstats is a toolkit. Here's an intro.

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convert biological ID with KEGG API using clusterProfiler

May 3, 2016
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bitr_kegg clusterProfiler can convert biological IDs using OrgDb object via the bitr function. Now I implemented another function, bitr_kegg for converting IDs through KEGG API. library(clusterProfiler) data(gcSample) hg <- gcSample] head(hg) ## "4597" "7111" "5266" "2175" "755" "23046" eg2np <- bitr_kegg(hg, fromType='kegg', toType='ncbi-proteinid', organism='hsa') ## Warning in bitr_kegg(hg, fromType = "kegg", toType = "ncbi-proteinid", ## organism = "hsa"): 3.7% of input...

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convert biological ID with KEGG API using clusterProfiler

May 3, 2016
By

bitr_kegg clusterProfiler can convert biological IDs using OrgDb object via the bitr function. Now I implemented another function, bitr_kegg for converting IDs through KEGG API. library(clusterProfiler) data(gcSample) hg <- gcSample] head(hg) ## "4597" "7111" "5266" "2175" "755" "23046" eg2np <- bitr_kegg(hg, fromType='kegg', toType='ncbi-proteinid', organism='hsa') ## Warning in bitr_kegg(hg, fromType = "kegg", toType = "ncbi-proteinid", ## organism = "hsa"): 3.7% of input...

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googleformr updates on CRAN

May 3, 2016
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googleformr updates on CRAN

Main updates to googleformr have been to remove an internal dependency on magrittr chains in the function construction and to take http status checking outside of the main gformr function and into a check_form_works function. Both changes provide notable speed gains. One can still create a function with gformr as before: pacman::p_load(googleformr) form <- "your_google_form_url" my_fun <- gformr(form ...

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googleformr updates on CRAN

May 3, 2016
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Main updates to googleformr have been to remove an internal dependency on magrittr chains in the function construction and to take http status checking outside of the main gformr function and into a check_form_works function. Both changes provide notable speed gains. One can still create a function with gformr as before: form <- "your_google_form_url" my_fun <- googleformr::gformr(form ...

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convert biological ID with KEGG API using clusterProfiler

May 3, 2016
By

bitr_kegg clusterProfiler can convert biological IDs using OrgDb object via the bitr function. Now I implemented another function, bitr_kegg for converting IDs through KEGG API. library(clusterProfiler) data(gcSample) hg <- gcSample] head(hg) ## "4597" "7111" "5266" "2175" "755" "23046" eg2np <- bitr_kegg(hg, fromType='kegg', toType='ncbi-proteinid', organism='hsa') ## Warning in bitr_kegg(hg, fromType = "kegg", toType = "ncbi-proteinid", ## organism = "hsa"): 3.7% of input...

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R in Insurance 2016 Programme

May 3, 2016
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R in Insurance 2016 Programme

We are delighted to announce that the programme for the 4th R in Insurance conference at Cass Business School in London, 11 July 2016, have been finalised. Register by the end of May to get the early bird booking fee.The organisers...

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Ternary Plots in R using Plotly

May 2, 2016
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2016-05-03 12_55_34-Clipboard

Plotly now supports ternary plots ! and in this post we’ll showcase how to make such charts in R. Markers   Lines Contour

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Reading Efron with R

May 2, 2016
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Reading Efron with R

by Joseph Rickert When I first went to grad school, the mathematicians advised me cultivate the habit of reading with a pencil. This turned into a lifelong habit and useful skill for reading all sorts of things: literature, reports and newspapers for example; not just technical papers. However, reading statistics and data science papers, or really anything that includes...

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Upcoming Webinars: Shapefiles for R Programmers

May 2, 2016
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Upcoming Webinars: Shapefiles for R Programmers

This weekend I finished production of my new course, Shapefiles for R Programmers. To celebrate the launch, tomorrow I will be announcing a special limited-time discount. Today, however, I want to announce two live webinars that I will be doing about the course: Wednesday at 1pm PT Thursday at 10am PT In these webinars I The post

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First Thoughts on Detecting Motorsport Safety Car Periods from Laptimes

May 2, 2016
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First Thoughts on Detecting Motorsport Safety Car Periods from Laptimes

Prompted by Markku Hänninen, I thought I’d have a quick look at estimating motorsport safety car laps from a set of laptime data. For the uninitiated, if there is a dangerous hazard on track, the race-cars are kept out while the hazard is cleared, but led around by a safety car that limits the pace. No

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New R package for K-S goodness-of-fit tests

May 2, 2016
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This is a re-post from the R packages mailing list Greetings, We wanted to announce a new R package ‘KScorrect’ that carries out the Lilliefors correction to the Kolmogorov-Smirnoff test for use in (one-sample) goodness-of-fit tests. It’s well-established it’s inappropriate to use the K-S test when sample statistics are used to estimate parameters, which results in substantially increased Type-II errors....

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When Documents Become Databases – Tabulizer R Wrapper for Tabula PDF Table Extractor

May 2, 2016
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When Documents Become Databases – Tabulizer R Wrapper for Tabula PDF Table Extractor

Although not necessarily the best way of publishing data, data tables in PDF documents can often be extracted quite easily, particularly if the tables are regular and the cell contents reasonably space. For example, official timing sheets for F1 races are published by the FIA as event and timing information in a set of PDF

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Zooming

May 2, 2016
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Zooming

You don’t have to be beautiful to turn me on (Kiss, Prince) I discovered recently how easy is to create GIFs with R using ImageMagick and I feel like a kid with a new toy. To begin this new era of my life as R programmer I have done this: First of all, read this … Continue reading...

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New features in imager 0.20

May 2, 2016
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New features in imager 0.20

imager, an R package for image processing, has been updated to v0.20 on CRAN. It’s a major upgrade with a lot of new features, better documentation and a more consistent API. imager now has 130 functions, and I myself keep forgetting all that’s in there. I’ve added a tutorial vignette that should help you get

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Pining for the fjoRds & monitoring SSL/TLS certificate expiration in R with flexdashboard

May 1, 2016
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Rumors of my demise have been (almost) greatly exaggerated. Folks have probably noticed that #52Vis has stalled, as has most blogging, package & Twitter activity. I came down with a nasty bout of bronchitis after attending rOpenSci Unconf 16 (there were so many people hacking up a storm in SFO!) and then... Continue reading →

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Image Recognition and Object Detection with R/Shiny and Google Vision

May 1, 2016
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Image Recognition and Object Detection with R/Shiny and Google Vision

Image recognition and object detection has been around for some years. However, usage and adoption was limited due to quality and ease of development. With the release of Microsoft’s Project Oxford, and Google’s Vision API, the accessibility and applicability has massively improved. Both APIs use REST API access and provide an excellent opportunity for the average developer...

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Image Recognition and Object Detection with R/Shiny and Google Vision

May 1, 2016
By
Image Recognition and Object Detection with R/Shiny and Google Vision

Image recognition and object detection has been around for some years. However, usage and adoption was limited due to quality and ease of development. With the release of Microsoft’s Project Oxford, and Google’s Vision API, the accessibility and applicability has massively improved. Both APIs use REST API access and provide an excellent opportunity for the average developer...

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Links I liked

May 1, 2016
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The interwebs has been aflush with interesting data science material. Tweet     Big Five Personality Tests Have Never Been So Fun(ny) Tweet     Gelman on A Beautiful Sentiment Any time Gelman has something to say about graphics and methods, it’s useful. This seems like one of my first memories, though, of him...

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New nasadata R package

April 30, 2016
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New nasadata R package

This package intends to provide a hassle-free way to access some of NASA’s open-source API’s to build applications or models. Because the documentation seems inconsistent and there are tons of API’s, I have concentrated my efforts on three which I believe provide the best “bang for my money”. The source package is built around these three API’s, but for the sake...

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Register now for Hadley Wickham’s Master R in Amsterdam

April 30, 2016
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Register now for Hadley Wickham’s Master R in Amsterdam

On May 19 and 20, 2016, Hadley Wickham will teach his two day Master R Developer Workshop in the centrally located European city of Amsterdam. This is the first time we’ve offered Hadley’s workshop in Europe. It’s a rare chance to learn from Hadley in person. Only 3 public Master R Developer Workshop classes are

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Introduction to R for Data Science

April 30, 2016
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Introduction to R for Data Science

Branko Kovač Data Analyst at CUBE, Data Science Mentor at Springboard, Institut savremenih nauka, Data Science Serbia, and Goran S. Milovanović, [email protected], Data Science Serbia, are giving a free introductory course on R for Data Science in Belgrade, Serbia. All course materials - slides, R scripts, data sets, summaries and recommended readings -...

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Introduction to R for Data Science :: Session 1

April 30, 2016
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Introduction to R for Data Science :: Session 1

Welcome to Introduction to R for Data Science Session 1! The course is co-organized by Data Science Serbia and Startit. You will find all course material (R scripts, data sets, SlideShare presentations, readings) on these pages. Lecturers dipl. ing Branko Kovač, Data Analyst at CUBE, Data Science Mentor at Springboard, 

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