Category: R

Feed: R-bloggers. Author: Keith Goldfeld. I was recently contacted to see if simstudy can create a data set of correlated outcomes that are measured over time, but at different intervals for each individual. The quick answer is there is no specific function to do this. However, if you are willing to assume an “exchangeable” correlation structure, where measurements far apart in time are just as correlated as measurements taken close together, then you could just generate individual-level random effects (intercepts and/or slopes) and pretty much call it a day. Unfortunately, the researcher had something more challenging in mind: he wanted ... Read More

Feed: R-bloggers. Author: Gavin L. Simpson. Recently I’ve been preparing my gratia package for submission to CRAN. During my pre-flight testing I noticed an issue under Windows checking the examples in the package against the reference output I generated on linux. In the latest release of the tibble package, the way tibbles are printed has changed subtly and in a way that leads to cross-platform differences. As I write this, tibbles with more than a set number of rows are printed in a truncated form, showing only the first 10 rows of data. In such cases, a final line is ... Read More

Feed: R-bloggers. Author: dan. WIND SPEEDS UP HEAT LOSS Twenty years ago, a German colleague asked me what the deal was with wind chill. I guess they didn’t have it in Germany. I explained it was an attempt to communicate how it feels when there is a low temperature combined with wind.  But my colleague wanted to know how they get the values in charts like these: If you look closely at the first chart, it gives the formula for wind chill. It looks pretty hairy but it’s just a function of two things: wind speed and temperature. The windchill ... Read More

Feed: R-bloggers. Author: hfrick. Last week RStudio hosted their conference, rstudio::conf, in Austin and a whole lot of members of the R community came to see what’s new, where the community and the field might be heading and to enjoy tacos. R in production A major theme from this conference was R in production. Joe Cheng kicked this one off in his keynote about Shiny in production, presenting how the answer to “Can Shiny be used for production?” changed from “Yes, it’s quite possible” (in 2015) to “Yes, it’s quite easy” (in 2019). Of course, it isn’t all easy yet. There are still cultural challenges ... Read More

Feed: R-bloggers. Author: William Doane. element. The document that opened is an HTML document with some boilerplate CSS and JavaScript. You can inspect it using your Browser’s Developer Tools. That’s it. That’s shiny. Everything else flows from these core ideas:ui is a list object representing the HTML UI to be constructed. server is a function describing the runtime behavior of your app. shinyApp() takes these two objects and uses them to construct an HTML document that then gets spun up in a browser. A Shiny App that does Something Let’s take the empty shell and start adding some content and ... Read More

Feed: R-bloggers. Author: Laura Ellis. Image credit: Results from the 2018 RStudio Learning R Survey, shared by Carl Howe at RStudio Conf 2019 Y’all if I had just one takeaway from R Studio Conference 2019, it’s that we are a friendly and tight knit community! Virtually and in person, we look out for each other. This past week, the FOMO was real, both from those unable to attend the conference and those who came. There were so many great sessions and such excellent information floating around that it was hard to keep up. In this blog, my focus is to ... Read More

Feed: R-bloggers. Author: Sebastian Wolf. How to Build a Shiny “Truck” part 2 — Let the LEGO “truck” app pull a trailer. An example of a modularized shiny app.In September 2018 I used an automotive metaphor explaining a large scale R shiny app. RViews published the article. I would summarize the article in one phrase. Upon building large applications (trucks) in R shiny there are a lot of things to keep in mind. To cover all these things in a single app I’m providing this tutorial. You can find all files of the app under https://github.com/zappingseb/biowarptruck — folder: example_packaged Summary (skip if you read the ... Read More

Feed: R-bloggers. Author: Achim Zeileis. Economic growth models are recursively partitioned to assess heterogeneity in growth and convergence across EU regions while adjusting for spatial dependencies. Accompanied by R package lagsarlmtree, combining partykit::mob and spdep::lagsarlm. Citation Martin Wagner, Achim Zeileis (2019). “Heterogeneity and Spatial Dependence of Regional Growth in the EU: A Recursive Partitioning Approach.” German Economic Review, 20(1), 67-82. doi:10.1111/geer.12146 [ pdf ] Abstract We use model-based recursive partitioning to assess heterogeneity of growth and convergence processes based on economic growth regressions for 255 European Union NUTS2 regions from 1995 to 2005. Spatial dependencies are taken into account by augmenting the ... Read More

Feed: R-bloggers. Author: Karsten W.. This week, I attended a three-day hacking event of the Crypto Traders Berlin Meetup group. The aim was to find relationships between sentiment data of bitcointalk and twitter and the price of crypto currencies. In practise, it turns out to be not that easy. For starters, it is not easy to determine if the social media discussion spikes up after a significant price change or the other way round. During this meetup series, I explored the concept of “intrinsic time“, as proposed by a team at the University of Essex. The idea is to summarize ... Read More

Feed: R-bloggers. Author: Peter Prevos. The post Factor Analysis in R with Psych Package: Measuring Consumer Involvement appeared first on The Lucid Manager. The first step for anyone who wants to promote or sell something is to understand the psychology of potential customers. Getting into the minds of consumers is often problematic because measuring psychological traits is a complex task. Researchers have developed many parameters that describe our feelings, attitudes, personality and so on. One of these measures is consumer involvement, which is a measure of the attitude people have towards a product or service. The most common method to ... Read More