v10.0.7 Documentation - Just another docs.flowjo.com site. Databases.
Statistics. SNA. RawData. DataCleaning. Three free books on R for Statistics. Avril Coghlan, a lecturer at University College Cork in Ireland, has written and made available for free three books ideal for students or practitioners new to R who want to use it for multivariate analysis, time series analysis or biomedical statistics. Each book begins with practical advice for installing and using R in general, before diving into their specialized topics: A Little Book of R for Multivariate Analysis (pdf, 49 pages) is a simple introduction to multivariate analysis using the R statistics software.
All three books are free to use, share and remix under a Creative Commons license, and are available from Dr Coghlan's home page linked below. Dr Avril Coghlan: avrilomics. Markdown. Download Markdown 1.0.1 (18 KB) — 17 Dec 2004 Introduction Markdown is a text-to-HTML conversion tool for web writers. Markdown allows you to write using an easy-to-read, easy-to-write plain text format, then convert it to structurally valid XHTML (or HTML).
Thus, “Markdown” is two things: (1) a plain text formatting syntax; and (2) a software tool, written in Perl, that converts the plain text formatting to HTML. See the Syntax page for details pertaining to Markdown’s formatting syntax. The overriding design goal for Markdown’s formatting syntax is to make it as readable as possible. The best way to get a feel for Markdown’s formatting syntax is simply to look at a Markdown-formatted document.
(You can use this ‘.text’ suffix trick to view the Markdown source for the content of each of the pages in this section, e.g. the Syntax and License pages.) Markdown is free software, available under a BSD-style open source license. Discussion List Installation and Requirements Movable Type Blosxom. Rheigh Henley Calderon's profile. Tutorials: External Data into Processing I. This is Part I of a tutorial covering various methods for pulling external data into Processing. We’ll start with the basics of the java String class and end with an example that grabs from a mySQL database using PHP code into Processing. At times, I will simply refer to existing content from the Learning Processing book as well as this site’s PHP tutorial. As of now, this page is designed to cover the material for weeks 9 and 10 in ITP’s Introduction to Computational Media course, but ultimately it’s my hope that this material will make its way into a new edition of Learning Processing.
Here is Part II The String class: who, what, where, when why Strings are probably not unfamiliar to you. Println("printing some text to the message window! ") Where do we find documentation for the String class? Although technically a Java class, because Strings are so commonly used, Processing includes documentation in its reference: Displaying Text int[] data;
50 Great Examples of Data Visualization. Wrapping your brain around data online can be challenging, especially when dealing with huge volumes of information. And trying to find related content can also be difficult, depending on what data you’re looking for. But data visualizations can make all of that much easier, allowing you to see the concepts that you’re learning about in a more interesting, and often more useful manner. Below are 50 of the best data visualizations and tools for creating your own visualizations out there, covering everything from Digg activity to network connectivity to what’s currently happening on Twitter. Music, Movies and Other Media Narratives 2.0 visualizes music. Different music tracks are segmented into single channels that are then shown in a fan-like structure.
Liveplasma is a music and movie visualization app that aims to help you discover other musicians or movies you might enjoy. Tuneglue is another music visualization service. Digg, Twitter, Delicious, and Flickr Internet Visualizations. Tutorial: Processing, Javascript, and Data Visualization. [The above graphic is an interactive 3D bar graph. If you can't see it, it's probably because your browser sucks can't render WebGL content. Maybe try Chrome or Firefox?] Ben Fry and Casey Reas, the initiators of the Processing project, announced at the Eyeo Festival that a new version of Processing, Processing 2.0, will be released in the fall (VIDEO).
This 2.0 release brings a lot of really exciting changes, including vastly improved 3D performance, and a brand-new high-performance video library. Perhaps most interesting is the addition of publishing modes – Processing sketches can now be published to other formats other than the standard Java applet. The mode that is going to cause the most buzz around the interweb is Javascript mode: yes, Processing sketches can now be published, with one click, to render in pretty much any web browser.
To get started, you can download this sample file. If you’re a Processing user, you’ll be familiar with the setup and draw enclosures. OK. Data visualization tutorial in Processing. If you absolutely refuse to touch any code, I suggest Many Eyes or one of the fine FD sponsors, but if you're looking to get your hands dirty, Processing is a great place to start.
Jer Thorp, whose work we saw not too long ago, posts this introduction tutorial for data visualization with Processing. I’m going to start from scratch, work through some examples, and (hopefully) make some interesting stuff. One of the nice things, I think, about this process, is that we’re going to start with fresh, new data – I’m not sure what kind of things we’re going to find once we start to get our hands dirty. This is what is really exciting about data visualization; the chance to find answers to your own, possibly novel questions. The examples are straightforward, the results are interesting, and most importantly, it gives you a lot to work off of with your own data and geometry. Hopefully it's the first post of many.