[This article was first published on Rmetrics blogs, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your [Read more...]

If you have deployed your Shiny-app on internet, you may curious about: how many users are using my app? Is the server powerful enough for hosting the app? You can get answers through the Server monitoring feature if you are using the Professional edition of Shiny server. What if we ... [Read more...]

A new release of the BH package is now on CRAN and its mirrors. BH provides (a sizeable subset of) the Boost library for C++, particularly (large) parts delivered as pure template headers not requiring linking. See the BH page for more details. ... [Read more...]

A question I’ve googled before without success. Hopefully this answer will show up for someone who needs it. I’ll also go over the better-known uses of ? just in case. To get help in R about a function like subset you type ?subset . That’s like man subset from ... [Read more...]

A question I’ve googled before without success. Hopefully this answer will show up for someone who needs it. I’ll also go over the better-known uses of ? just in case. To get help in R about a function like subset you type ?subset . That’s like man subset from ... [Read more...]

For all those people asking me how to obtain a print version of my book “Forecasting: principles and practice” with George Athanasopoulos, you now can. Order on Amazon.com Order on Amazon.co.uk Order on Amazon.fr The online book will continue to be freely available. The print version ... [Read more...]

Introduction Reason #2: RStudio’s manipulate Do It Yourself Next Time Introduction This is is second in a projected five-part series of posts aimed at colleagues who teach elementary statistics. If you teach with R but hesitate to spring such a powerful and complex tool on unsuspecting introductory students—many of ... [Read more...]

by Joseph Rickert Norman Matloff professor of computer science at UC Davis, and founding member of the UCD Dept. of Statistics has begun posting as Mad(Data)Scientist. (You may know Norm from his book, The Art of R Programming: NSP, 2011.) In his second post (out today) on the new ... [Read more...]

Interaction are the funny interesting part of ecology, the most fun during data analysis is when you try to understand and to derive explanations from the estimated coefficients of your model. However you do need to know what is behind these estimate, there is a mathematical foundation between them that ... [Read more...]

After my posts on timeline, Sankey and calendar charts, this will be the last to introduce new chart types of the developer version of googleVis. Today I will give examples for the new annotation charts and histograms.Annotation chartsAnnotation charts... [Read more...]

Today’s highly active R user base is developing, re-developing, and releasing R packages at a never-before-seen rate. While this is fantastic news for the R community as such, it inevitably also causes growing pains as mentioned before. One of the often cited problems is the painful and time-consuming task ... [Read more...]

by Mike Bowles Mike Bowles is a machine learning expert and serial entrepreneur. This is the second post in what is envisioned as a four part series that began with Mike's Thumbnail History of Ensemble Models. One of the main reasons for using R is the vast array of high-quality ... [Read more...]

Trading Ethos for LogosUp until very recently (the last 10 years) it has been uncommon for social science researchers to share their data even when the sharing would neither compromise the private information of the subjects nor the validity of the stu... [Read more...]

A free webinar will provide an introduction to the “JMBayes” R package which provides methods for Joint Modeling of Longitudinal and Time-to-Event Data under a Bayesian Approach. Webinar Format: - Introduction to Joint Models and the JMBayes R package - … Continue reading → [Read more...]

I recently downloaded a very cool dataset on Ontario libraries from the Ontario Open Data Catalogue.  The dataset contains 142 columns of information describing 386 libraries in Ontario, representing a fantastically massive data collection effort for such important cultural institutions (although … Continue reading → [Read more...]

Conrad released a new upstream release 4.200 for Armadillo, his templated C++ library for linear algebra, earlier today. As usual, this was rolled up in a new RcppArmadillo release 0.4.200.0; I had actually made two pre-releases leading up his 4.20... [Read more...]

I recently looked at the strategy that invests in the components of S&P/TSX 60 index, and discovered that there are some abnormal jumps/drops in historical data that I could not explain. To help me spot these points and remove them, I created a helper function data.clean() function ... [Read more...]

In data-driven statistical computing and data analysis, applying a chain of commands step by step is a common situation. However, it is neither straightforward nor flexible to write a group of deeply nested functions. It is because the function that comes later must be written first. Consider the following example ... [Read more...]

There is no database containing information on all the dams in the United States. The single largest source is the National Inventory of Dams (NID) from the US Army Corps of Engineers which claims to have more than 80,000 dams. I downloaded the en... [Read more...]

Here’s some fun I had today. If you are looking at some published stats and they tell you a percentage but not the numerator & denominator, you can still work them out. That’s to say, you can get your computer … Continue reading → [Read more...]