In comparison with other statistical software (e.g., SAS, STATA, and SPSS), R is the best for data visualization. Therefore, in all posts I have written for DataScience+ I take advantage of R and make plots using ggplot2 to visualize all the findings. For example, previously I plotted the percentiles of body mass index in the Related Post Animating the Goals...
Introduction In this summertime post in the case4base series, we will look at useful tools in base R, which let us profile our code without any extra packages needed to...
I came across this question on X validated that wondered about one of our examples in Monte Carlo Statistical Methods. We have included a section on Laplace approximations in...
Topics and Categories in the Russian Troll Tweets I decided to return to the analysis I conducted for the IRA tweets dataset. (You can read up on...
This is a review of James Picerno’s Quantitative Investment Portfolio Analytics in R. Overall, it’s about as fantastic a book … Continue reading →
Step 1: Create a Tidy data frame The very first step in creating visualizations is to get the data in a useful format. In the...
A new RcppArmadillo release 0.9.100.5.0, based on the new Armadillo release 9.100.5 from earlier today, is now on CRAN and in Debian. It once again follows our (and Conrad's)...
A while back, I started to create an R package that would help me and my collegues at STATWORX with our daily work. After writing the DESCRIPTION file, I...
I was at the EdinbR talk this week by the RStudio community lead – Curtis Kephart. It was really interesting, but I disagree with his suggestion to point and...
A new RcppArmadillo release 0.9.100.5.0, based on the new Armadillo release 9.100.5 from earlier today, is now on CRAN and in Debian. It once again follows our (and Conrad's)...
Every wanted to make R talk to you? Now you can, with the mscstts package by John Muschelli. It provides an interface to the Microsoft Cognitive Services Text-to-Speech API...
This post tries to explain the difference between odds ratios and relative risk ratios; and how just a few letters in the code fitting a generalized linear model mean...
Great post!I wanted to mention that although many previous studies have used the area under receiver operating characteristic curve (auROC) statistic to benchmark the precision, it misleads evaluators when...
Apache Drill 1.14.0 was recently released, bringing with it many new features and a temporary incompatibility with the current rev of the MapR ODBC drivers. The Drill community expects...
16.08.2018 A new release of Bio7 is available. The new Bio7 2.9 release comes with a plethora of new R features and bugfixes. Release Notes: General: Based on Eclipse...
Linear programming is a technique to solve optimization problems whose constraints and outcome are represented by linear relationships. Simply put, linear programming allows to solve problems of the following kind: Maximize/minimize...
A blogpost inspired by a tweet and a YouTube video. ‘Luminance-gradient-dependent lightness illusion’ In the last days, I’ve stumbled upon this tweet: A demo of lightness perception pic.twitter.com/BSVpgcuIw1 —...
We wrote a short tutorial on contast coding, covering the common contrast coding scenarios, among them: treatment, helmert, anova, sum, and sliding (successive differences) contrasts. The target audience is...
Imagine a situation where you are asked to predict the tourism revenue for a country, let’s say India. In this case, your output or dependent or response variable will...
In this exercise, we will continue to solve problems from the last exercise about GLM here. Therefore, the exercise number will start at 9. Please make sure you read...
Introduction There are many different R packages for dealing with spatial data. The main distinctions between them involve the types of data they work with — raster or vector —...
I just came across a nice little post on acquiring and visualizing geodata in R using the Max Planck Institute of Ornithology as an example. It’s by the rOpenSci...
We are pleased and excited to announce that we are working on a second edition of Practical Data Science with R! Manning Publications has just announced the launching of...
Here is the course link. Course Description You've taken a survey (or 1000) before, right? Have you ever wondered what goes into designing a survey and how survey responses are turned...
The language used by data scientists can be confusing to anyone encountering it for the first time. Ever changing best practices and constantly evolving technologies and methodologies have given...
Last month, I was delighted to be invited to speak, along with Hadley Wickham, at the seventy-first meeting of the TokyoR user group in Tokyo, Japan. This day-long mini-conference...
An economist contacted me about the ability of simstudy to generate correlated ordinal categorical outcomes. He is trying to generate data as an aide to teaching cost-effectiveness analysis, and...
