1907 search results for "rstudio"

Mid-year R Packages Update Summary

July 24, 2016
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I been updating some existing packages and github-releasing new ones (before a CRAN push). Most are “cyber”-related, but there are some general purpose ones. Here’s a quick overview: docxtractr (CRAN, now, v0.2.0) was initially designed to make it easy to get data tables out of MS Word (docx) documents. The update removes use of a... Continue reading...

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Hydrological uncertainty – Manning’s equation

July 23, 2016
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Hydrological uncertainty – Manning’s equation

John Yagecic put out a great little blog post with accompanying app this week. He looked at the uncertainty from using vague parameters in Manning’s equation to estimate river flow. He made the… Continue reading →

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StatET IDE for R

July 22, 2016
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StatET IDE for R

I personally do not use Integrated Development environments (IDEs) for R, or for that matter for any programming language. From my point of view, they take up too much precious real estate on the screen, and most important, they generally do not allow me to use my own text editor and my own abbreviations and … Continue...

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Don’t miss Hadley Wickham’s Master R Workshop September 12 and 13 in NYC

July 22, 2016
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Don’t miss Hadley Wickham’s Master R Workshop September 12 and 13 in NYC

New York City is a wonderful place to be most of the time but especially in September! If you live or work in the city or just want a good business reason to visit, consider joining RStudio Chief Data Scientist Hadley Wickham in the heart of Manhattan on September 12th and 13th, just by Times Square

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BioC 2016 Conference Overview and Few Ways of Downloading TCGA Data

July 21, 2016
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BioC 2016 Conference Overview and Few Ways of Downloading TCGA Data

Few weeks ago I have a great pleasure of attending BioC 2016: Where Software and Biology Connect Conference at Stanford, where I have learned a lot! It wouldn’t be possible without the scholarship that I received from Bioconductor (organizers), whic...

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Bayesian Bootstrap: The Movie + Some Highlights from UseR! 2016

July 20, 2016
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Not surprisingly, this year’s UseR! conference was a great event with heaps of talented researchers and R-developers showing off the latest and greatest R packages. (A surprise visit from Donald Knuth didn’t hurt either.) What was extra great thi...

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dplyr and Zika – Epilogue

July 19, 2016
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dplyr and Zika – Epilogue

I really thought I was done with the Express dplyr series though on completion of the second part I received many messages requesting more examples of using dplyr with ggplot along with some other types of information such as the Zika virus data which can be downloaded from Github. These examples are not drastically different

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Principal Component Analysis Cluster Plots with Plotly

July 19, 2016
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Principal Component Analysis Cluster Plots with Plotly

The Problem When clustering data using principal component analysis, it is often of interest to visually inspect how well the data points separate in 2-D space based on principal component scores. While this is fairly straightforward to visualize with a scatterplot, the plot can become cluttered quickly with annotations as shown in the following figure:

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EARL 2016 London Workshops Selling Fast

July 18, 2016
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EARL 2016 London Workshops Selling Fast

A Great Choice of Workshops With less than two months to go until EARL2016 in London, the Workshops are filling up fast and this year for the first time we are offering workshops to non-conference attendees. The UK’s only R Conference this year … Continue reading →

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Webinar: Model-Based Machine Learning and Probabilistic Programming using RStan

July 16, 2016
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Webinar: Model-Based Machine Learning and Probabilistic Programming using RStan

I am glad to announce that I shall be presenting a live webinar with Domino Data Labs on July 20, 2016 from 11:00 – 11:30 AM PST on Model-Based Machine Learning and Probabilistic Programming using RStan. If you are interested in adopting machine learning but are overwhelmed by the vast amount of learning algorithms, this webinar will show

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