When writing an R package I usually write a README.Rmd file that I render to README.md. I use {pkgdown} to then create documentation. I run the last step via CI, so I never need to think about it. The problem is that I regularly forget to process the ...

By Xiaotong Ding (Claire), With Greg Page A practical tool that enables a modeler to remove non-informative data points during the variable selection process of data modeling In this article, we will introduce a powerful function called ‘nearZeroVar()’. This function, which comes from the caret package, is a practical tool ...

The climate of a place is usually presented through climographs that combine monthly precipitation and temperature in a single chart. However, it is also interesting to visualize the climate on a daily scale showing the thermal amplitude and the daily average temperature. To do this, the averages for each day ...

The past few weeks I have been exploring the speed of R. It started with this video in which I explained that R is not necessarily slower than any other interpreted language, as long as you’re using the built-in, optimized functions. However should you write your own implementation of ...

My PhD student, Congzheng Liu (co-supervised with Adam Letchford) has written a paper, entitled “Newsvendor Problems: An Integrated Method for Estimation and Optimisation“. This paper has recently been published in EJOR. In this paper we build upon the existing Ban & Rudin (2019) approach for newsvendor problem, showing that in case of ...

Bond duration is a basic building block for bond portfolio management and asset-liability management (ALM). This post explains the meaning of duration and calculation of this risk measures by using Excel and R. Instead of using another full-fledged ...

How to create appropriate data visualizations using tidycharts package.There is a wide range of R packages created for data visualization, but still, something was lacking. There was no simple and easily accessible way to create clean and transparent c...

A small new feature added to {emayili}: the ability to interpolate content into the email message body. Load Package Load the {emayili} package and create a message skeleton. library(emayili) options( # Always print message body. envelope_details = TRUE, # Print message from pipeline. envelope_invisible = FALSE ) # Create a message skeleton. # email

This post is part of a series of technotes about r-universe, a new umbrella project by rOpenSci under which we experiment with various ideas for improving publication and discovery of research software in R. As the project evolves, we will post updates to document features and technical details. For more ...

Want to merge pdf files, but keep bookmarks? Read on...

Do you know that feeling of excitement when you open your favorite Shiny app? You have an important job to do, possibly with a tight deadline, but that Shiny dashboard has all the tools you need. They are organized, intuitive to use, and help you accomplish your goals fast and ...

ShinyProxy is a free and open-source platform for hosting containerized applications with enterprise features.

This post presents basic R code snippets to read files with given file extensions such as csv or txt. This is simple but very useful when it comes to the case where there are too many files to read manually. If we have too many (i.e. 1000 file...

Weibull Distribution in R, Weibull Distribution was discovered by Swedish physicist Wallodi Weibull in 1939. A continuous random variable X is said to follow Weibull distribution if its probability density function fx(x; α, β)=... The post Weibull Distribution in R appeared first on finnstats.

In this post, we will work through a simple example of Bayesian regression analysis with the rstanarm package in R. I’ve been reading Gelman, Hill and Vehtari’s recent book “Regression and Other Stories”, and this blog post is my attempt to apply some of the things I’ve ...

We asked this question to the Community and are now ready to present the results. Running up to the Panel Discussion “R User or R Developer? This is the question” at the useR!2021 conference, Mirai conducted a survey regarding what makes one an R De...

This is the latest in my series of screencasts demonstrating how to use the tidymodels packages, from just getting started to tuning more complex models. Today’s screencast is good for folks who are newer to modeling or tidymodels; it focuses on how ...

What defines a production-ready Shiny application? And more importantly, how do we get there? Shiny is hands down one of the best dev tools available for quick production of Proof of Concepts (PoC). But here in lies a trap. People tend to mislabel Shiny as a poor production tool because ...