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healthvis | Interactive visualization in health: Package version 1.2

Interactive visualization in health: Package version 1.2

http://healthvis.wordpress.com/

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healthvis | Interactive visualization in health: Package version 1.2 | healthvis.wordpress.com Reviews
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Interactive visualization in health: Package version 1.2
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healthvis | Interactive visualization in health: Package version 1.2 | healthvis.wordpress.com Reviews

https://healthvis.wordpress.com

Interactive visualization in health: Package version 1.2

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1

New features in Healthvis v1.2 | healthvis

https://healthvis.wordpress.com/2013/04/22/healthvis-v1-2

Interactive visualization in health: Package version 1.2. New features in Healthvis v1.2. We’re rolling out version 1.2 of our package, which includes a new visualization (described in an upcoming post) as well as some changes to package functionality described below. You can find instructions for updating your package on the install page. We have had some issues with embedding figures, since figures with static heights and widths would not resize in a smaller embedded window. Viewers would have to s...

2

FAQ | healthvis

https://healthvis.wordpress.com/faq

Interactive visualization in health: Package version 1.2. Q: Why should I use this package when I could be using shiny. A: We fully agree that this package is not the be-all end-all. We think shiny is a great platform for creating web apps in R, and if you know shiny/d3/both you are probably as good or better with interactive figures than we are. Of the amount of R and javascript it requires to create a similar figure using each option. A: Not at all! A: Can you write the d3 to make it happen? Q: I&#8217...

3

Introducing pairedVis() – interactive scatterplot matrix | healthvis

https://healthvis.wordpress.com/2013/04/05/pairedvis

Interactive visualization in health: Package version 1.2. Introducing pairedVis() – interactive scatterplot matrix. Wins the prize for first adapted d3 visualization! He liked this plot. Which we’ll explain further) created by Mike Bostock. The creator of the d3.js library), so he decided to develop. A version of it for our package. You can read about his process on his blog post. We touched up a few parts and the visualization is now part of our package! So what is this? Pairs() plot of iris dataset.

4

Announcing Healthvis! | healthvis

https://healthvis.wordpress.com/2013/03/28/announcing-healthvis/comment-page-1

Interactive visualization in health: Package version 1.2. Healthvis is a new R package for making interactive figures in just one line of code! Since these figures are hosted online, you can easily link them or embed them into a website to share with colleagues. Here are some of the figures you can make using healthvis:. Multinomial Regression Predicted Probabilities. To try it out yourself, and check out the links at the top for more info. This entry was posted in Uncategorized. March 28, 2013. Introduc...

5

Comparing Approaches | healthvis

https://healthvis.wordpress.com/faq/compare

Interactive visualization in health: Package version 1.2. Data set in the. Http:/ healthviz.appspot.com/display/hs 20001. Create a coxph object (survival package) cobj # Plot the object survivalVis(cobj, data=veteran, plot.title=Veteran Survival Data, group=trt, group.names=c(Treatment, No Treatment), line.col=rainbow hcl(2,start=50,end=270). Http:/ glimmer.rstudio.com/prpatil/survival ex/. This is an excerpt from the d3 code required to generate the figure seen in the healthvis example (actually require...

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People · jtleek

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Find me online @jtleek. Is a Ph.D. student in Biostatistics at the Johns Hopkins Bloomberg School of Public Health. He built the new derfinder. He also writes a fantastic blog. Is a Ph.D. student in Biostatistics at the Johns Hopkins Bloomberg School of Public Health. He created healthvis. And is creating cross-platform, cheap genomic signatures for cancer, lupus, and other diseases. Is a postdoc in Biostatistics and Computer Science. He is co-advised with Ben Langmead.

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Interactive visualization in health: Package version 1.2. Introducing distVis() – calculating distances and clustering numeric data. In version 1.2, we also have a new function for creating a distance visualization of a matrix of numeric data. This figure was developed and contributed by Joseph Paulson. From the University of Maryland Center for Bioinformatics and Computational Biology (CBCB). In this example, we take the. Dataset in R, convert it to a matrix using. And visualize using distVis():. To acc...

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