pirategrunt.wordpress.com
PirateGrunt | Data -> Information -> Insight -> Wisdom | Page 2
https://pirategrunt.wordpress.com/page/2
Data - Information - Insight - Wisdom. Another skewed normal distribution. February 8, 2014. At the CLRS last year, Glenn Meyers talked about something very near to my heart: a skewed normal distribution. In loss reserving (and I'm sure, many other contexts) standard linear regression is less than ideal as it presumes that deviations from the mean are equally distributed. We rarely expect this assumption to hold (though we should always test it! X for the expected value of Z is also easy. Here it is:.
pirategrunt.wordpress.com
Visualizing the History of Epidemics | PirateGrunt
https://pirategrunt.wordpress.com/2014/10/27/visualizing-the-history-of-epidemics
Data - Information - Insight - Wisdom. An Idiot Learns Bayesian Analysis: Part 3. Makefiles and RMarkdown →. Visualizing the History of Epidemics. October 27, 2014. I really like National Geographic. Their magazine is great, their television documentaries are done well and they helped give me a lifelong love of maps. They generate very good information and help shed light on the world we all share. So why is this graphic. Let's have a look:. Did you have to scroll to look at both objects? I did Not only ...
jaredknowles.com
R Bootcamp — Jared Knowles
https://www.jaredknowles.com/r-bootcamp
Social scientist. Trading in sincerity. Your Custom Text Here. For the latest slides and developments on bootcamp materials, check out the GitHub repository with the latest files. You can also get access to the data files necessary All materials are licensed in the Public Domain. For a shorter, 2 hour condensed introduction to the bootcamp, please review [these slides]. These slides were presented at Sector67. For the materials to follow along with the short course, get the [zip file here]. Introduction ...
pirategrunt.wordpress.com
Bookshelf | PirateGrunt
https://pirategrunt.wordpress.com/bookshelf
Data - Information - Insight - Wisdom. I picked up a barely used copy from a guy named Uncle Pinky. He’s got loads of great stuff and his Amazon site. Is worth checking out. Data Analysis Using Regression and Multilevel/Hierarchical Models by Gelman and Hill. This is a fantastic book and I’ve barely been able to scratch the surface. Among other things, it’s an easy go-to reference for GLMs, a topic about which I’ve had no formal training whatsoever. Machine Learning for Hackers. The Signal and The Noise.
pirategrunt.wordpress.com
Stuff I’ve gotten horribly wrong | PirateGrunt
https://pirategrunt.wordpress.com/2014/06/05/stuff-ive-gotten-horribly-wrong-2
Data - Information - Insight - Wisdom. An Idiot Learns Bayesian Analysis: Part 3 →. Stuff I’ve gotten horribly wrong. June 5, 2014. Using a list to store complicated data types in S4 objects is absurd and unnecessary. It's totally possible to extract the contents of a data frame without fear of R returning a vector. This is really embarassing. All you need to do is set the parameter drop=FALSE. Computed columns might be a good idea. Stuff I’ve gotten horribly wrong. June 5, 2014 at 9:51 PM. I need no fur...
pirategrunt.wordpress.com
MRMR | PirateGrunt
https://pirategrunt.wordpress.com/mrmr
Data - Information - Insight - Wisdom. MRMR is an R package for use in evaluating non-life insurance reserves. At present, the package may be obtained as a tarball from its GitHub development site. A stable release to CRAN is expected in the near future. Download MRMR by clicking on the image below:. Vignettes and other documentation to follow soon. Background and whatnot may be found in various posts on this blog. Read items in the Loss Reserving. Leave a Reply Cancel reply. Enter your comment here.
4dpiecharts.com
Improving base-R examples | 4D Pie Charts
https://4dpiecharts.com/2014/11/25/improving-base-r-examples
Scientific computing, data viz and general geekery, with examples in R and MATLAB. R code style guide. MATLAB code style guide. 25th November, 2014. Earlier today I saw the hundred bazillionth question. About how to use the. Function. My initial response was “take a look at example(paste) to see how it works”. Then I looked at. And it turns out that it’s not very good at all. There isn’t even an example of how to use the. Argument. Considering that. I’ve submitted this as a bug. Before submitting a bug r...
jaredknowles.com
Links — Jared Knowles
https://www.jaredknowles.com/links
Social scientist. Trading in sincerity. Your Custom Text Here. Here are some great blogs on statistics and technology:. Http:/ radar.oreilly.com/. Http:/ www.statsblogs.com/. Http:/ www.datacope.org. Http:/ www.hannahkmiller.com. This is example content. Double-click here and select a page to feature its content. Learn more. Jun 11, 2012. Jun 11, 2012. Jun 11, 2012. Jun 11, 2012. Jun 11, 2012. Jun 11, 2012. Civilytics Consulting LLC Cambridge, MA 2017.
exploringtheworldaround.blogspot.com
Exploring the World Around: R tips - Using For loops in R
http://exploringtheworldaround.blogspot.com/2012/01/r-tips-using-for-loops-in-r.html
Exploring the World Around. Is exploring the world around us a way to understand what hides within? Friday, January 13, 2012. R tips - Using For loops in R. The anatomy of a for loop is following:. Actual script using for loop parameter. You can replace for loop parameter. With any name (numbers are not allowed). For some reason people often use i,j,l or k. This is fine, but by all means a,f,g,blurp or fk will work as well. I like to use letters, because they are short and require less writing. I want to...
r4stats.com
Forecast Update: Will 2014 be the Beginning of the End for SAS and SPSS? | r4stats.com
http://r4stats.com/2013/05/14/beginning-of-the-end-v2
Calling R from Other Software. How to Search for Data Science Articles. How to Search for Data Science Jobs. The Popularity of Data Analysis Software. Using Excel for Data Entry. Why R is Hard to Learn. Interview Regarding R for SAS and SPSS Users. Interview Regarding R for Stata Users. R for SAS and SPSS Users. R for Stata Users. A Practice Data Set. Selecting Variables and Observations. Workshop: Managing Data with R. Workshop: R for SAS, SPSS and Stata Users. Workshop: Introduction to Modern R. Slow i...