1866 search results for "rstudio"

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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Seasonal decomposition in the ggplot2 universe with ggseas

March 27, 2016
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Seasonal decomposition in the ggplot2 universe with ggseas

The ggseas package for R, which provides convenient treatment of seasonal time series in the ggplot2 universe, was first released by me in February 2016 and since then has been enhanced several ways. The latest version, 0.4.0, is now on CRAN. The improvements since I last blogged about ggseas include: added the convenience function tsdf() to convert a...

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Web-Scraping JavaScript rendered Sites

March 26, 2016
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Gathering data from the web is one of the key tasks in order to generate easy data-driven insights into various topics. Thanks to the fantastic Rvest R package web scraping is pretty straight forward. It basically works like this; go to a website, find the right items using the selector gadget and plug the element path into your R-code. There...

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Graphics parameters exercises

March 24, 2016
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Graphics parameters exercises

In the exercises below we practice how to personalize graphics parameters, how to produce different plots at the same time and how to save a plot in a file. We will use commands such as par and jpeg. We will use the mtcars dataset, provided by R Cran (we can upload the dataset by typing

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tibble 1.0.0

March 24, 2016
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tibble 1.0.0

I’m pleased to announce tibble, a new package for manipulating and printing data frames in R. Tibbles are a modern reimagining of the data.frame, keeping what time has proven to be effective, and throwing out what is not. The name comes from dplyr: originally you created these objects with tbl_df(), which was most easily pronounced

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Get ready for the New York R Conference

March 24, 2016
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Get ready for the New York R Conference

by Joseph Rickert Last year, I wrote the New York R Conference “set the bar pretty darn high for a first time conference”. Not only was there an outstanding lineup of speakers, but the energy and enthusiasm that conference attendees brought with them, or maybe just generated on the spot, was remarkable. This year I am definitely looking forward...

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R package news: tfsR, HIBPwned, mockaRoo

March 24, 2016
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This is a brief update on my packages not currently on CRAN: tfsR, HIBPwned, and mockaRoo. tfsR tfsR is designed to help you work git repositories in Microsoft Team Foundation Server (TFS) and Visual Studio Team Services (VSTS). I wrote the package a while ago and it has/had just two functions; one for getting a The post

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