1905 search results for "RSTUDIO"

Introducing cricket package yorkr: Part 1- Beaten by sheer pace!

April 2, 2016
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Introducing cricket package yorkr: Part 1- Beaten by sheer pace!

“We need to regard statistical intuition with proper suspicion and replace impression formation by computation wherever possible” “We are pattern seekers, believers in a coherent world” “The hot hand is entirely in the eyes of the beholders, who are consistently” “too quick to perceive order and causality in randomeness. The hot hand is a” “massive

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WVPlots: example plots in R using ggplot2

April 1, 2016
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WVPlots: example plots in R using ggplot2

Nina Zumel and I have been working on packaging our favorite graphing techniques in a more reusable way that emphasizes the analysis task at hand over the steps needed to produce a good visualization. The idea is: we sacrifice some of the flexibility and composability inherent to ggplot2 in R for a menu of prescribed … Continue reading...

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The monetizr package: make money on your open source R packages

March 31, 2016
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I’ve had the great privilege to be a small part of the R open source community, contributing packages like broom, gganimate, fuzzyjoin, and ggfreehand. In the process I’ve become friends and colleagues with brilliant statisticians and data scientists and learned to engage with data in powerful ways. But there’s one thing that my colleagues and I...

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Another Route to Jupyter Notebooks – Azure Machine Learning

March 31, 2016
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Another Route to Jupyter Notebooks – Azure Machine Learning

In much the same way that the IBM DataScientist Workbench seeks to provide some level of integration between analysis tools such as Jupyter notebooks and data access and storage, Azure Machine Learning studio also provides a suite of tools for accessing and working with data in one location. Microsoft’s offering is new to me, but

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Updated R & BLAS Timings

March 30, 2016
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Updated R & BLAS Timings

With the recent releases of R 3.2.4 and OpenBLAS 2.17, I decided it was time to re-benchmark R speed. I’ve settled on a particular set of tests, based on my experience as well as some of Simon Urbanek’s work which I separated into two groups: those focusing on BLAS-heavy operations and those which do not. Read the full...

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pacman Ver 0.4.1 Release

March 30, 2016
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pacman Ver 0.4.1 Release

It was just over a year ago that Dason Kurkiewicz and I released pacman to CRAN.  We have been developing the package on GitHub in the past 14 months and are pleased to announce these changes have made their way … Continue reading →

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Introducing a Weekly R / Python / JS / etc Vis Challenge!

March 30, 2016
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Introducing a Weekly R / Python / JS / etc Vis Challenge!

Per a suggestion, I’m going to try to find a neat data set (prbly one from @jsvine) to feature each week and toss up some sample code (99% of the time prbly in R) and offer up a vis challenge. Just reply in the comments with a link to a gist/repo/rpub/blog/etc (or post directly, though

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Feather: A Fast On-Disk Format for Data Frames for R and Python, powered by Apache Arrow

March 29, 2016
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Feather: A Fast On-Disk Format for Data Frames for R and Python, powered by Apache Arrow

Wes McKinney, Software Engineer, Cloudera Hadley Wickham, Chief Scientist, RStudio This past January, we (Hadley and Wes) met and discussed some of the systems challenges facing the Python and R open source communities. In particular, we wanted to see if there were some opportunities to collaborate on tools for improving interoperability between Python, R, and

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Dealing with non-proportional hazards in R

March 29, 2016
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Dealing with non-proportional hazards in R

As things change over time so should our statistical models. The image is CC by Prad Prathivi Since I'm frequently working with large datasets and survival data I often find that the...

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“Efficient Data Manipulation with R” Course | April 11-12 Milan

March 28, 2016
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Organize your data manipulation tasks in a standard way, write clean and efficient code, and build reproducible data management processes, using the most modern R tools: tidyr, dplyr and lubridate. The post "Efficient Data Manipulation with R" Course | April 11-12 Milan appeared first on MilanoR.

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