As things change over time so should our statistical models. The image is CC by Prad Prathivi Since I'm frequently working with large datasets and survival data I often find that the...

The ggseas package for R, which provides convenient treatment of seasonal time series in the ggplot2 universe, was first released by me in February 2016 and since then has been enhanced several ways. The latest version, 0.4.0, is now on CRAN. The improvements since I last blogged about ggseas include: added the convenience function tsdf() to convert a...

Gathering data from the web is one of the key tasks in order to generate easy data-driven insights into various topics. Thanks to the fantastic Rvest R package web scraping is pretty straight forward. It basically works like this; go to a website, find the right items using the selector gadget and plug the element path into your R-code. There...

I’m pleased to announce tibble, a new package for manipulating and printing data frames in R. Tibbles are a modern reimagining of the data.frame, keeping what time has proven to be effective, and throwing out what is not. The name comes from dplyr: originally you created these objects with tbl_df(), which was most easily pronounced

by Joseph Rickert Last year, I wrote the New York R Conference “set the bar pretty darn high for a first time conference”. Not only was there an outstanding lineup of speakers, but the energy and enthusiasm that conference attendees brought with them, or maybe just generated on the spot, was remarkable. This year I am definitely looking forward...

This is a brief update on my packages not currently on CRAN: tfsR, HIBPwned, and mockaRoo. tfsR tfsR is designed to help you work git repositories in Microsoft Team Foundation Server (TFS) and Visual Studio Team Services (VSTS). I wrote the package a while ago and it has/had just two functions; one for getting a The post

The goal of this course is to give you the skills to do the statistics that are in current published papers, and make pretty figures to show off your results. While we will go over the mathematical concepts behind the statistics, this is NOT meant to be a classical statistics class. We will focus more Lesson 0: Introduction...

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