R-bloggers

Find out how to customize a shiny app and make it more accessible to users with our workshop on 17/11. With shiny you can add an interactive web interface to your R work, enabling also users without a technical background to profit from your analysi...

Welcome to the second part of the forester blog. In the previous part, we explained the main idea of the forester package, the motivations behind it, its advantages, and the innovations it brings to the ML world. You should definitely check it out! In ...

Shiny Basics, you will learn two standards for constructing a simple Shiny application in this tutorial. You’ll also learn how the program is structured, the components of the user interface, and where to put application logic. How to Calc...

Shiny Basics, you will learn two standards for constructing a simple Shiny application in this tutorial. You’ll also learn how the program is structured, the components of the user interface, and where to put... The post Shiny Basics-Introduction appeared first on finnstats.

What is the Atkinson index? The Atkinson index, introduced by Atkinson (1970) (Reference 1), is a measure of inequality used in economics. Given a population with values and an inequality-aversion parameter , the Atkinson index is defined as If we … Continue reading →

Univariate and multivariate time series forecasting with R package `ahead`.

The {emayili} package supports configuring a generic SMTP server via the server() function. In the most recent version, v0.6.5, we add three new functions, gmail(), sendgrid() and mailgun(), which provide specific support for Gmail, SendGrid and Mailgun. library(emayili) options(envelope.details = TRUE) options(envelope.invisible = FALSE) packageVersion("emayili") [1] '0.6.5...

An elegant application of Functional Data Analysis is to model longitudinal data as a curve and then study the curve’s dynamics. For example, in pharmacokinetics and other medical studies analyzing multiple measurements of drug or protein ...

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 update...

Date/Time: Wednesday, November 17, 3pm – 5pm GMT / 7am – 9am PST / 10am – 12 noon EST Register now! In this session we will be looking at various... The post Webinar: R Package Management at Roche appeared first on R Consortium.

We’ve released the newest version of NIMBLE on CRAN and on our website. NIMBLE is a system for building and sharing analysis methods for statistical models, especially for hierarchical models and computationally-intensive methods (such as MCMC and SMC). Version 0.12.1, in combination with version 0.12.0 (which was released just last week), ...

This post implements Adams and Deventer (1994) approach which generates the best fitting yield curve smoothing with the principle of maximum smoothness forward rate curve. This provides a powerful closed-form solution by which we can sidestep a kink...

A few months ago, I started hacking together an online e-book on Visualising WRC Rally Stages With rayshader and R. One of the sections (Estimating speeds) described the construction of a simple speed model based around the curvature of the stage route. As part of another sprint into some rally ...

This blog post is a recap of the mlr-org workshop 2021 which took place from the 28th of September until the 10th of October. First of all, we would like to thank all people and organizations which made this workshop possible: our (19) GitHub spon...

It’s been quiet around this blog because supervising two students for Google Summer of Code has kept me pretty busy! But we have some news… Thanks to Mr. Tejasvi Gupta and the support of GSOC, ChemoSpec and ChemoSpec2D were extended to pro...

  Get the code for this blog on GitHub What is this tutorial and who is it for? This tutorial is aimed mainly at R users who want to learn a bit of D3, and specifically those who are interested in how you can incorporate D3 into your existing workflows in ...

Introduction The new gslnls-package provides R bindings to nonlinear least-squares optimization with the GNU Scientific Library (GSL) using the trust region methods implemented by the gsl_multifit_nlinear module. The gsl_multifit_nlinear module was added in GSL version 2.2 (released in August 2016) and the available nonlinear-least squares routines have been ...

Nobody likes a slow dashboard. Heck, I’m closing it and never coming back if it takes more than a couple of seconds to load. It’s a common problem — the datasets are getting bigger and our attention span is getting shorter. Balancing both as a developer, well, sucks. But ...