Using the R programming language to draw the Sierpinski triangle fractal using the chaos game. Drawing a fractal using random numbers. Continue reading → The post The Sierpinski Triangle: Visualising infinity in R appeared first on The Devil is in the Data.
The nnetar function in the forecast package for R fits a neural network model to a time series with lagged values of the time series as inputs (and possibly...
Following the surprising success of my latest post, I decided to show yet another use case of the handy ggplot2::annotation_custom(). Here I will show how to add small graphical...
A proposed solution in the R language to Euler Problem 22. What is the total of all the name scores in the file of 5163 first names? Continue...
As also described in Cormen, et al (2009) p. 65, in algorithm design, divide-and-conquer paradigm incorporates a recursive approach in which the main problem is: Divided into smaller sub-problems...
Brute force approach to solving a problem is usually the way of running through all possible combinations and repeating a certain calculation. Until a more elegant solution is devised...
Data wrangling is a task of great importance in data analysis. Data wrangling, is the process of importing, cleaning and transforming raw data into actionable information for analysis. It...
Microsoft R Open (MRO), Microsoft's enhanced distribution of open source R, has been upgraded to version 3.4.0 and is now available for download for Windows, Mac, and Linux. This...
TWO SHOT RUSSIAN ROULETTE WITH 2 BULLETS OR AN EQUAL CHANCE OF 1 or 3 BULLETS With p as the probability of dying on one shot, this figure shows...
This is your chance to win one of two 2-day passes to the first San Francisco EARL Conference on June 6 and 7. To win: All you need to...
Aim of the ggeffects-package The aim of the ggeffects-package is similar to the broom-package: transforming “untidy” input into a tidy data frame, especially for further use with ggplot. However,…
To post your R job on the next post Just visit this link and post a new R job to the R community. You can post a job for free (and there are also “featured...
In a previous post, I introduced DataFest and how one can streamline the organization of this event using Google Forms and tools from the tidyverse. In this post,...
There are several tools available in R for creating animations (movies) from statistical graphics. The animation package by Yihui Xie will create an animated GIF or video file, using...
The elevent update in the 0.12.* series of Rcpp landed on CRAN yesterday following the initial upload on the weekend, and the Debian package and Windows...
We’re excited to announce a powerful new ability to organize content in RStudio Connect: version 1.5.0. Tags allow publishers to arrange what they’ve published and enable users to find...
This week, DataCamp is celebrating 1 million learners on its platform and is offering 50% off for unlimited access to the full curriculum. Join the learners who have completed...
In my last post Which linear model is best? I wrote about using stepwise selection as a method for selecting linear models, which turns out to have some issues...
NOTE: I’ll do my best to ensure the next post will have nothing to do with Twitter, and this post might not completely meet my R⁶ criteria. A single,...
This post discusses a number of options that are available in R for analyzing data from max-diff experiments, using the package flipMaxDiff. For a...
This is a quick note looking for any further feedback on the simglm package prior to CRAN submission later this week. The goal is to submit Thursday or Friday...
The first ever EARL (Enterprise Applications of the R Language) conference in San Francisco will take place on June 5-7 (and it's not too late to register). The EARL...
This post will be about replicating the Marcos Lopez de Prado algorithm from his paper building diversified portfolios that outperform … Continue reading →
This is the second part of the series on Instrumental Variables. For other parts of the series follow the tag instrumental variables. In this exercise set we will build...
In April I attended the 2017 New York R conference, hosted by Lander Analytics and Work-Bench. It was both the third time the conference was held...
Introduction I spent good chunks of Friday, Saturday, and Sunday attempting to write another blog post on using R and the quantstrat package for backtesting, and all I have...
A debate about which language is better suited for Datascience, R or Python, can set off diehard fans of these languages into a tizzy. This post tries to look...
By Gabriel Vasconcelos Motivation The name bagging comes from boostrap aggregating. It is a machine learning technique proposed by Breiman (1996) to increase stability in potentially unstable estimators. For...
R is a very popular language for doing analytics, and particularly statistics, on your data. There are a number of R functions for reading in data, but most of...
