Interactive and Dynamic Graphics for Data Analysis: With R and Ggobi (Use R!)
Contents:
I encountered several problems when preparing this blog post.
Embedding rCharts to R markdown did not quite work either as shown e. Functions to fit cell volume distributions and thereby estimate cell growth rates and division times. I encountered several problems when preparing this blog post. Plotly needs some setting up using the credentials from here. Subject to credit approval. To see what your friends thought of this book, please sign up. For additional information, see the Global Shipping Programme terms and conditions - opens in a new window or tab.
Specifically, I had issues in embedding the plots into R markdown documents. This is made more complicated with the various available ways of turning. Rmd files into html: Here I have listed the most important issues, with solutions when found. Some things are still unsolved, hope someone can help me with those!
In general, being able to produce valid interactive html charts from R markdown without knowing any javascript is great! All of the packages great sensible outputs, but there are also a lot of differences.
See a Problem?
I love ggplot2, and hence I also like ggvis, as it pays attention to graphical details following the grammar of graphics principles. However, the package is still missing a lot of important features, such as faceting. In many cases rCharts can do what ggvis can not yet , and so it is a good alternative.
However, the missing documentation makes it hard to create customized plots. Plotly has a really nice idea and implementation, but requirement for authentication and limited number of private plots reduce the usability a lot.
Technical features
Here I have made example plots with the interactive tools: Source code is available in Github. First we need to install and load the necessary R packages:. Plotly needs some setting up using the credentials from here. Toggle navigation Juuso Parkkinen. Home Projects About Me.
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Here are the packages included: Technical features All four packages use javascript for the interactive visualizations, and are cabable of producing most of the standard plot types. Sharing the visualizations Interactive visualizations are typically meant to be shared for a larger audience.
Issues I encountered several problems when preparing this blog post.
Interactive and Dynamic Graphics for Data Analysis: With R and GGobi (Use R!)
However, this was not the case with my blog setup. My solution was to inlude the set of scripts taken from the source of this page into the header of all my blog posts see here.
Not sure if this is an optimal solution. After updating the blog theme, the ggvis only show up with Chrome, not with Firefox or Safari. Embedding rCharts to R markdown did not quite work either as shown e. Note that in this post I embedded existing plotly charts manually.
There are still two charts that do now show up in this post. I have quite limited understanding of how knitr, jekyll and the javascript tools work together, and could not get these to work. Perhaps the scripts somehow conflict with each other? I also noticed some minor issues: Randall Thomas rated it liked it May 23, Jerzy rated it really liked it Feb 27, Sep 23, Ryan rated it it was ok. It was all right but could use better organization, more examples, and more code snippets.
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Books by Dianne Cook.
Interactive and Dynamic Graphics for Data Analysis. With R and GGobi. Authors: Cook, Dianne, Swayne, Deborah F. The book's examples use the free software. Interactive and Dynamic Graphics for Data Analysis: With R and GGobi (Use R!) th Edition. by . ggplot2: Elegant Graphics for Data Analysis (Use R!).