799 search results for "RSTUDIO"

Shiny + Concerto = YES !!!

May 23, 2013
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Shiny + Concerto = YES !!!

So I have finally gotten beta access to the two most powerful R controlled web application makers in existence and produced very exciting experimental productsA few posts ago I posted a Visual Reasoning Test that I had made by hand and powered wit...

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The R-Podcast Episode 13: Interview with Yihui Xie

May 23, 2013
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It’s an episode of firsts on the R-Podcast! In this episode recorded on location I had the honor and privilege of interviewing Yihui Xie, author of many innovative packages such as knitr and animation. Some of the topics we discussed include: Yihui’s motivation for creating knitr and some key new features How markdown plays a

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Package party: Conditional Inference Trees

May 21, 2013
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Package party: Conditional Inference Trees

I am going to be using the party package for one of my projects, so I spent some time today familiarising myself with it. The details of the package are described in Hothorn, T., Hornik, K., & Zeileis, A. (1999). “party: A Laboratory for Recursive Partytioning” which is available from CRAN. The main workhorse of

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R 3.0.1 is released

May 20, 2013
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R 3.0.1 is released

R 3.0.1 (codename “Good Sport”) was released last week. As mentioned earlier by David, this version improves serialization performance with big objects, improves reliability for parallel programming and fixes a few minor bugs. Upgrading to R 3.0.1 You can download …Read more »

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Integration take two – Shiny application

May 13, 2013
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Integration take two – Shiny application

My last post discussed a technique for integrating functions in R using a Monte Carlo or randomization approach. The mc.int function (available here) estimated the area underneath a curve by multiplying the proportion of random points below the curve by the total area covered by points within the interval: The estimated integration (bottom plot) is

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Shiny App for CRAN packages

May 13, 2013
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Over the past few days, I have been introduced to a few new-to-me R packages, via some comments from the Shiny guys and the R-bloggers site. This seems a rather haphazard way of acquiring knowledge and I cannot be alone in thinking that this is not the most productive way to become aware of new/better

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Medicare Provider Charge Data – How Are Things in Spokane?

May 9, 2013
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Medicare Provider Charge Data – How Are Things in Spokane?

Disclosure: I am not a health care professional, but just some one interested in playing with data and ways to represent them. I am not going to interpret findings here, but will make a remark or two about how to interpret them from the few graphs...

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Version 0.9 of timeline on CRAN

May 9, 2013
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Version 0.9 of timeline on CRAN

The initial version of the timeline package has been released to CRAN. This package provides creates timeline plots using ggplot2 in a style similar to Preceden. I would considered this beta quality as there are more features I would like to add but has enough functionality to possibly be useful to others.install.packages('timeline',repos='http://cran.r-project.org') require(timeline) data(ww2) timeline(ww2, ww2.events, event.spots=2, event.label='', event.above=FALSE)Timeline...</p><p><a href=Read more »

A Shiny web app to find out how much medical procedures cost in your state.

May 8, 2013
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A Shiny web app to find out how much medical procedures cost in your state.

Today the front page of the Huffington Post featured the new data available from the CMS that shows the cost of many popular procedures broken down by hospital. We here at Simply Statistics think you should be able to explore … Continue reading →

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Computed columns for dataframes

May 8, 2013
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Computed columns for dataframes

Everyone loves to aggregate data. Everyone loves to create new columns based on other columns. Everyone hates to do the same thing twice. In my continuing work on multilevel view of loss reserving, I reached a point where I realized that I needed a robust mechanism to aggregate computed columns. SQL server and (I’m assuming)

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