2840 search results for "Ggplot2"

Results of the Readers’ Survey

August 5, 2014
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Results of the Readers’ Survey

 First of all, let me say “Thank You” to all of the 357 people who completed the survey. I was hoping for 100, so needless to say the response blew away my expectations. This endeavor seems like a worthwhile effort to do once a year. Next year I will refine the...

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Simpler R coding with pipes > the present and future of the magrittr package

August 5, 2014
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Simpler R coding with pipes > the present and future of the magrittr package

This is a guest post by Stefan Milton, the author of the magrittr package which introduces the %>% operator to R programming. Preface (by Tal Galili) I was first introduced to the %>% (a.k.a: pipe) operator in R, thanks to Hadley Wickham’s (fascinating) dplyr tutorial (link to the workshop’s material) at useR!2014. After several discussions during the conference (including one very

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Dodged bar charts, why not a line graph?

August 4, 2014
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Dodged bar charts, why not a line graph?

I often see graphs that are poorly implemented in that they do not achieve their goal. One such type of graph that I see are dodged bar charts. Here is an example of a dodged bar chart summarizing the number of all star players by team (focusing spec...

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Dodged bar charts, why not a line graph?

August 4, 2014
By
Dodged bar charts, why not a line graph?

I often see graphs that are poorly implemented in that they do not achieve their goal. One such type of graph that I see are dodged bar charts. Here is an example of a dodged bar chart summarizing the number of all star players by team (focusing spec...

Read more »

butteRfly

August 4, 2014
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butteRfly

Float like a butterfly, sting like a bee (Muhammad Ali) The Butterfly Curve was discovered by Temple H. Fay when he was in Southern University, Mississippi, and rapidly gained the attention of students and mathematicians because of its beautiful simmetry. Small dots of this plot are generated according to parametric equations of the Butterfly Curve. Big

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Revisiting package dependencies

July 29, 2014
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Revisiting package dependencies

by Andrie de Vries In my previous post I wrote about how to identify and visualize package dependencies. Within hours, Duncan Murdoch (member of R-core) identified some discrepancies between my list of dependencies and the visualisation. Since then, I fixed the dispecrancies. In this blog post I attempt to clarify the issues involved in listing package dependencies. In miniCRAN...

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Scraping information of CRAN packages

July 28, 2014
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(This article is adapted to the latest version of rvest package.) In my previous post, I demonstrated how we can scrape online data using existing packages. In this post, I will take it a bit further: I will scrape more information of CRAN packages since each of them also has a web page like this. More specifically,...

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Scraping information of CRAN packages

July 28, 2014
By

(This article is adapted to the latest version of rvest package.) In my previous post, I demonstrated how we can scrape online data using existing packages. In this post, I will take it a bit further: I will scrape more information of CRAN packages since each of them also has a web page like this. More specifically,...

Read more »

Pie Charts. Are they worth the Fight?

July 28, 2014
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Pie Charts. Are they worth the Fight?

Like Rob, I recently got back from ICOTS. What a great conference. Kudos to everyone who worked hard to organize and pull it off. In one of the sessions I was at, Amelia McNamara (@AmeliaMN) gave a nice presentation about how … Continue reading →

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Analyzing package dependencies and download logs from Rstudio, and a start towards building an R recommendation engine

July 27, 2014
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Analyzing package dependencies and download logs from Rstudio, and a start towards building an R recommendation engine

In this post, I will focus on the analysis of available R packages and the behavior of its users. In essence, this involves looking at the data in two different ways (1) relationships among available R packages in CRAN and (2) tracking the behavior of R users through download logs on CRAN mirrors. I will

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