I will run an 8-hour course on R and Data Mining at Black Mountain, CSIRO, Australia on 10 & 13 December 2018. The course materials, incl. slides, R scripts and datasets, are available at http://www.rdatamining.com/training/course. Below is outline of the … Continue reading →
A few month ago I joined the R/Pharma conference in Cambridge, MA. As a take away I thought of my project and how I can improve, with solutions others provided....
I taught my Data Visualization seminar in Philadelphia this past Friday and Saturday. It covers most of the content of my book, including a unit on making maps. The...
Motivation Column operations Add Modify Remove Benchmark Summary Motivation The dplyr functions select and mutate nowadays are commonly applied to perform data.frame column operations, frequently combined with magrittrs forward %__% pipe. While...
We at STATWORX work a lot with R and we often use the same little helper functions within our projects. These functions ease our daily work life by reducing...
Once again, I gives me great pleasure to announce a new package has joined CRAN. transformr is the spatial brother of tweenr and as with the tweenr update a few months...
Exploratory data analysis is important, everybody knows that. With R, it is also easy. Below you see three lines of code that allow you to interactively explore the Preston...
Exercise template for computing the 2-sided confidence interval (with extended Moodle processing) for the mean based on a random sample. ...
… this week that I made a first cameo in the debian/changelog for the Debian R package: r-base (0.63.1-1) unstable; urgency=low New upstream release Linked html directory to /usr/doc/r-base/doc/html (Dirk Eddelbuettel) –...
This note is a comment on some of the timings shared in the dplyr-0.8.0 pre-release announcement. The original published timings were as follows: With performance metrics: measurements are marketing....
CategoriesProgramming Tags Data Visualisation R Markdown R Programming In this article, you learn how to make Automated Dashboard visualizations with distribution in R. First you need to install the `rmarkdown` package into your R...
Introduction In this post in the R:case4base series we will examine sorting (ordering) data in base R. We will learn to sort our data based on one or multiple columns,...
We at STATWORX work a lot with R and we often use the same little helper functions within our projects. These functions ease our daily work life by reducing...
TLDR: Begin with N of 10, increase by 10 until p __ 0.05 or max N reached. This design has inflated type-I error. Lower p-value threshold needed to ensure...
CategoriesProgramming Tags Data Visualisation R Markdown R Programming In this article, you learn how to make Automated Dashboard Visualizations with Ranking in R. First you need to install the `rmarkdown` package into your R...
Many of our projects involve getting doctors, nurses, and medical students to collect data on the patients they are looking after. We want to involve many of them in...
Time really does fly. It’s been 5 months since Delhi NCR useR group had come into being and our first meetup. It was a successful event which included sessions...
We at STATWORX work a lot with R and we often use the same little helper functions within our projects. These functions ease our daily work life by reducing...
Bayesian nonparametrics in NIMBLE: Nonparametric random effects Overview NIMBLE is a hierarchical modeling package that uses nearly the same language for model specification as the popular MCMC packages WinBUGS,...
R package authors sometimes like to add the letter “r” to package names (for example, the tidyverse packages). baRcodeR also has an extra “r” at the end as well....
Samuel Berchuck is a Postdoctoral Associate in Duke University’s Department of Statistical Science and Forge-Duke’s Center for Actionable Health Data Science. Joshua L. Warren is an Assistant Professor of Biostatistics...
This is the first post of a series on the concept of “network centrality” with applications in R and the package netrankr. There is already a rudimentary tutorial for the...
Principal component analysis (PCA) is a dimension-reduction method that can be used to reduce a large set of (often correlated) variables into a smaller set of (uncorrelated) variables, called...
CategoriesProgramming Tags Data Visualisation R Markdown R Programming Tips & Tricks In this article, you learn how to make Automated Dashboard visualizations with Deviation in R. First you need to install the `rmarkdown` package into...
We at STATWORX work a lot with R and we often use the same little helper functions within our projects. These functions ease our daily work life by reducing...
In this post I will show you how to run an R script on heroku every day. This is a continuation of my previous post on tweeting a death...
Many (if not most) tech communities have far more representation from men than from women (and even fewer from nonbinary folk). This is a shame, because everybody uses software,...
Sometimes it’s useful to be able to extract data from a published figure. If the figure isn’t a vector based format (for which the numeric data is probably still...
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