1983 search results for "rstudio"

How to reshape data in R: tidyr vs reshape2

June 20, 2016
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Reshape your data from long to wide, split a column, aggregate: a comparison between tidyr and reshape2 R packages to tidy data The post How to reshape data in R: tidyr vs reshape2 appeared first on MilanoR.

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The ffanalytics R Package for Fantasy Football Data Analysis

June 18, 2016
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The ffanalytics R Package for Fantasy Football Data Analysis

Introduction We are continuously looking to provide users ways to replicate our analyses and improve their performance in fantasy football. To that aim, we are introducing the ffanalytics R package that includes The post The ffanalytics R Package for Fantasy Football Data Analysis appeared first on Fantasy Football Analytics.

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Your data vis “Spidey-sense” & the need for a robust “utility belt”

June 16, 2016
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Your data vis “Spidey-sense” & the need for a robust “utility belt”

@theboysmithy did a great piece on coming up with an alternate view for a timeline for an FT piece. Here’s an excerpt (read the whole piece, though, it’s worth it): Here is an example from a story recently featured in the FT: emerging- market populations are expected to age more rapidly than those in developed... Continue reading →

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The R Packages of UseR! 2016

June 16, 2016
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The R Packages of UseR! 2016

by Joseph Rickert It is always a delight to discover a new and useful R package, and it is especially nice when the discovery comes with at context and testimonial to its effectiveness. It is also satisfying to be able to check in once in awhile and get an idea of what people think is hot, or current or...

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githubinstall: New R Package for Easy to Install R Packages on GitHub

June 14, 2016
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1. OverviewA growing number of R packages are created by various people in the world. A part of the cause of it is the devtools package that makes it easy to develop R packages . The devtools package not only facilitates the process to develop R packages but also provides an another way to distribute R packages.When developers...

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R Hero saves Backup City with archivist and GitHub

June 14, 2016
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Have you ever suffered because of the impossibility of reproducing graphs, tables or analysis’ results in R? Have you ever bothered yourself for not being able to share R objects (i.e., plots or final analysis models) within your reports, posters or articles? Or maybe simply you have too many objects you can’t manage to store in a convenient...

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tidyr 0.5.0

June 13, 2016
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tidyr 0.5.0

I’m pleased to announce tidyr 0.5.0. tidyr makes it easy to “tidy” your data, storing it in a consistent form so that it’s easy to manipulate, visualise and model. Tidy data has a simple convention: put variables in the columns and observations in the rows. You can learn more about it in the tidy data

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Open to Non-Conference Attendees – R Workshops at EARL 2016

June 13, 2016
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Open to Non-Conference Attendees – R Workshops at EARL 2016

EARL is a Conference for users and developers of the open source R programming language. The primary focus of the Conference is the commercial usage of R across a range of industry sectors with the aim of sharing knowledge and … Continue reading →

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Presentation slides on using graphics

June 13, 2016
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Presentation slides on using graphics

Last week I gave a seminar for around 40 analysts from another government agency on using graphics to represent data. In doing such presentations, I usually focus on different purposes of graphics: exploratory as part of the analysis workflow (eg as diagnosis for statistical models) for presenting results Exactly what the purpose is makes quite a difference to...

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R for Publication by Page Piccinini: Lesson 4 – Multiple Regression

June 13, 2016
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R for Publication by Page Piccinini: Lesson 4 – Multiple Regression

Introduction Today we’ll see what happens when you have not one, but two variables in your model. We will also continue to use some old and new dplyr calls, as well as another parameter for our ggplot2 figure. I’ll be taking for granted some of the set-up steps from Lesson 1, so if you haven’t done Lesson 4: Multiple...

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