November 2018

Source and List: Organizing R Shiny Apps

November 6, 2018 | Kenith Grey

Keeping R Shiny code organized can be a challenge. One method to organize your Shiny UI and Server code is to use a combination of R’s list and source functions. Another method to organize you’re Shiny code is through modularization techniques. Here though, we’re going concentrate on ... [Read more...]

Spreading Multiple Values

November 6, 2018 | R on kieranhealy.org

Earlier this year my colleague Steve Vaisey was converting code in some course notes from Stata to R. He asked me a question about tidily converting from long to wide format when you have multiple value columns. This is a little more awkward than it should be, and I’ve ... [Read more...]

More on sigr

November 6, 2018 | Nina Zumel

If you’ve read our previous R Tip on using sigr with linear models, you might have noticed that the lm() summary object does in fact carry the R-squared and F statistics, both in the printed form: model_lm [Read more...]

Can we predict the crawling of the Google-Bot?

November 6, 2018 | dschmeh

Logfile analysis allows website owners a deep insight about how Google and other search engines crawl their pages. How often does a bot come by a page, which pages are rarely or not at all visited by the bots? For which pages does the bot get errors? All these and ...
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xts 0.11-2 on CRAN

November 6, 2018 | Joshua Ulrich

xts version 0.11-2 was published to CRAN yesterday. xts provides data structure and functions to work with time-indexed data.  This is a bug-fix release, with notable changes below: The xts method for shift.time() is now registered. Thanks to Philippe Verspeelt for the report and PR (#268, #273). An if-statement in the ... [Read more...]

xts 0.11-2 on CRAN

November 6, 2018 | Joshua Ulrich

xts version 0.11-2 was published to CRAN yesterday. xts provides data structure and functions to work with time-indexed data.  This is a bug-fix release, with notable changes below: The xts method for shift.time() is now registered. Thanks to Philippe Verspeelt for the report and PR (#268, #273). An if-statement in the ... [Read more...]

Cluster Analysis – Part 1: Introduction

November 6, 2018 | INWT-Blog-RBloggers

What is Cluster Analysis? Cluster analysis is a collective term for various algorithms to find group structures in data. The groups are called clusters and are usually not known a priori. In contrast, classification procedures assign the observations to already known groups (e.g., buyers and non-buyers). A classification is ...
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Online resources for teaching

November 5, 2018 | R on Coding Club UC3M

In this session I will try to show some utilities present in the web. One of them will help us to execute R code from the web, using an online compiler, without installing any kind of software in our computers. The other one, it can help us to solve optimization ...
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Causal mediation estimation measures the unobservable

November 5, 2018 | Keith Goldfeld

I put together a series of demos for a group of epidemiology students who are studying causal mediation analysis. Since mediation analysis is not always so clear or intuitive, I thought, of course, that going through some examples of simulating data for this process could clarify things a bit. Quite ...
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