In the 1975 edition of “Applied multiple regression/correlation analysis for the behavioral sciences” by Jacob Cohen, an interesting approach of handling missing values in numeric variables was proposed with the purpose to improve the traditional single-value imputation, as described below: – First of all, impute missing values by the value of mean or median –
A new version of the RcppExamples package is now on CRAN. The RcppExamples package provides a handful of short examples detailing by concrete working examples how to set up...
Visualizing the relationship between multiple variables can get messy very quickly. This post is about how the ggpairs() function in the GGally package does this task, as well as...
Today’s post comes from an idea and some starting code by my colleague David Diviny from Nous Group. A common real-world problem is trying to estimate an unknown continuous variable...
I recently encountered a situation where I wanted to run several linear models, but where the response variables would depend on previous steps in the data analysis pipeline. Let...
It’s only been a couple days since the initial version of my revamped take on RSwitch but there have been numerous improvements since then worth mentioning. For starters, there’s...
I caught this post on the The Surprising Number Of Programmers Who Can’t Program from the Hacker News RSS feed. Said post links to another, classic post on the...
There are a variety of data science courses online, but which one is the best? Find out the pros and cons of each! Coursera, EdX, etc These MOOCs have...
Why R? pre-meetings are R meetups that support local R groups. They promote Why R? 2019 Conference. The purpose of those meetings is to provide the space for the...
Intro In an earlier post, I introduced a function to generate fractals based on regular polygons. In this post I explore doing the same in 3D. library(dplyr) library(plotly) library(RColorBrewer) Fractals in 3D In my previous...
Background This is a brief post about making my first Shiny App (see also). I made this app following a meeting of the Advancing Social Cognition lab (ASC-Lab) where we...
mRpostman is an R package to help you to easy connect to your IMAP (Internet Message Access Protocol) server and execute commands, such as listing mailboxes, searching and fetching...
At the bottom of the R for macOS Developer’s Page there’s mention of an “other binary” called “RSwitch” that is “a small GUI that allows you to switch between...
What does a modern analytics platform need to offer companies real added value? Why is the administration of user and role rights a factor not to be underestimated when...
Since this morning, Rcpp stands at just over 1750 reverse-dependencies on CRAN. The graph on the left depicts the growth of Rcpp usage (as measured by Depends, Imports...
Meeting Hadley! Last Monday, I had the pleasure of attending a talk given by Hadley Wickham at LondonR, which was held at one of their usual venues at the UCL...
In this post, we will develop a framework for always-valid inference based on the paper Always Valid Inference: Continuous Monitoring of A/B Tests (2019 Johari, Pekelis, Walsh). Using an...
In this post, I present something I am currently investigating (feedback welcome!) and that I am implementing in my new package {bigutilsr}. This package can be used to detect...
Topic Extraction is an integral part of IE (Information Extraction) from Corpus of Text to understand what are all the key things the corpus is talking about. While this...
We sent Johannes Tang Kristensen from Arla Foods a few questions about his upcoming talk at EARL London – ‘How much milk do our cows produce? Lessons learned from...
What are driving factors behind the gas price? With freely accessible data we are goging to find out if the brand, the location and more have any impact on...
A month ago we closed Call for Papers for Why R? 2019 Conference. Today we are pleased to announce the agenda! From over 75 submissions (from 4 continents) we...
Introduction This workbook outlines key concepts and functions related to map projections — also referred to as coordinate reference systems (CRSs) — and transformation of geographic data from one projection...
I recently became an RStudio Certified Trainer, and thought that it might interest the broader R Community to learn about this new program. For those who don’t know, RStudio...
I hope you will give me 7 minutes to convince you why CSS is a good thing, and why you should be using it in your projects. In this...
Creating an effective, informative, and aesthetically appealing report to showcase your data can be tedious: it’s often difficult to display your data and your plots together in an uncluttered...
Background AUC is an important metric in machine learning for classification. It is often used as a measure of a model’s performance. In effect, AUC is a measure between...
A maintenance release of RcppQuantuccia arrived on CRAN earlier today. RcppQuantuccia brings the Quantuccia header-only subset / variant of QuantLib to R. At the current stage, it mostly offers...
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