matloff.wordpress.com
Mad (Data) Scientist | Musings, useful code etc. on R and data science | Page 5
https://matloff.wordpress.com/page/5
Partools 1.1.4. August 21, 2015. Partools 1.1.4 is now on GitHub. The main change this time is enhancement of the debugging facilities (which work not only for partools. But also the cluster-based portion of R’s parallel. Package in general). As some of you know, I place huge importance on debugging, so much so that I wrote a book on it (. The Art of Debugging with GDB, DDD, and Eclipse. N Matloff and P. Salzman, NSP, 2008). But debugging parallel code is hard, especially in the parallel. Package with Yi...
predictingdaemon.com
Blogroll
http://www.predictingdaemon.com/blogroll.html
A Statistical Programming Blog by Mario Annau. Creators of the popular RStudio IDE and Shiny. Thinking Inside the Box. Dirk Eddelbuettels blog, creator of Rcpp. And many other highly useful R packages. Blog by Rob J Hyndman, creator of the forecast.
rstudio.com
RStudio – RStudio
https://www.rstudio.com/products/rstudio
Webinars & Videos. News & Events. Webinars & Videos. News & Events. Take control of your R code. RStudio is an integrated development environment (IDE) for R. It includes a console, syntax-highlighting editor that supports direct code execution, as well as tools for plotting, history, debugging and workspace management. Click here to see more RStudio features. Run RStudio on your desktop. Centralize access and computation. Click here to see additional features. Quickly jump to function definitions. Downl...
rborgcubes.wordpress.com
Links | R Borgcubes
https://rborgcubes.wordpress.com/links
Your technological distinctiveness will be added to our own. Resistance is futile. Probability and Statistics Blog. Learning Programming Languages with R. Learning Programming Languages other than R. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. Notify me of new comments via email.
varianceexplained.org
broom: a package for tidying statistical models into data frames – Variance Explained
http://varianceexplained.org/r/broom-intro
Data Scientist at Stack Overflow, works in R and Python. Broom: a package for tidying statistical models into data frames. The concept of tidy data , as introduced by Hadley Wickham. Offers a powerful framework for data manipulation, analysis, and visualization. Popular packages like dplyr. Take great advantage of this framework, as explored in several. But there’s an important step in a tidy data workflow that so far has been missing: the output. In this new paper. I introduce the broom. This summary sh...
dgwinn.wordpress.com
Teaching Experience | Dan Gwinn
https://dgwinn.wordpress.com/teaching-experience
Quantitative Tools for Ecological Problems. 2013 Methods for estimating fisheries exploitation: laboratory for University of Florida Population Dynamics course (UF. FAS 6337). 2012 Stochastic simulation for design and evaluation of monitoring programs: One-day workshop at Department of Primary Industries, Marine and Freshwater Fisheries Research Institute in Victoria, Australia. 2011 Linear models and multi-model inference: laboratory for University of Florida Population Dynamics course (UF, FAS 6337).
r-datacollection.com
Automated Data Collection with R - Blog
http://www.r-datacollection.com/blog/index.html
Automated Data Collection with R. Automated Data Collection with R Blog. Raquo; Gathering Twitter data with the TwitteR2Mongo package. The following is a guest post by Philipp Prettl and Lion Weber (University of Konstanz), with support from Simon Munzert. Did you ever want to track trending topics on Twitter, but missed to start the tracking as an event took off? Are you interested in mining massive amounts of Twitter data using R, but lack the tools to store all tweets in a database? What can you find?
juliasilge.com
Helpful Data Science Resources Elsewhere – data science ish
http://juliasilge.com/blogroll
A Blog by Julia Silge. Helpful Data Science Resources Elsewhere. Jobs for R Users. No Free Hunch @ Kaggle. MultiThreaded @ Stitch Fix.
matloff.wordpress.com
Discovered Two Great Web Sites Today | Mad (Data) Scientist
https://matloff.wordpress.com/2015/06/03/discovered-two-great-web-sites-today
Discovered Two Great Web Sites Today. June 3, 2015. Today is my lucky day. I learned of two very interesting Web pages, both of them quite informative and the first of them rather provocative (yay! I have some comments on both, in some cases consisting of mild disagreement, which I may post later, but in any event, I highly recommend both. Here they are:. Drew Schmidt’s take on parallel computation. Notes by Michael Kane and Bryan Lewis. Update on Snowdoop, a MapReduce Alternative. Enter your comment here.
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