This post will go through how to create a word cloud of article titles scraped from the awesome R-bloggers. Our goal will be to use R’s rvest package to search through 50 successive pages on the site for article titles. The stringr and tm packages will be used for string ...

When discussing how to speed up slow R code, my first question is what is your computer spec? It’s always surprised me that people are wondering why analysing big data is slow, yet they are using a five-year-old cheap laptop. Spending a few thousand pounds would often make their ...

Photo by freestocks.org on UnsplashI love to learn new things and one of ways I learn best is by doing. Also it’s been said that you never fully understand a topic until you are able to explain it , I think blogging is a low barrier to explaining things. ...

I wanted to figure out how to create gif animation using the magick, so I decided I’ll try that out with ggplot2 spiral art. Loading up packages I’m definitely in love with “magick” right now :)

library(tidyverse) ## for pretty much everything...
library(magick) ## I'm now a magick fan!!! 
library(scales) ## Handy when it comes to scaling, but I also love show_col function
library(patchwork) ## put ggplot side by side easily :) 

## Let's just set some of my favourite number.
phi <- (1 + sqrt(5)) / 2 
golden_angle <- pi*(3-sqrt(5))

Function To Draw Artwork Instead of creating data frame, then plot with ...

There seem to be a lot of ways to write about your R package, and rather than have to decide on what to focus on I thought I’d write a little bit about everything. To begin with I thought it best to describe what problem rdhs tries to solve, ...

Introduction Now here is a blog post that has been sitting on the shelf far longer than it should have. Over a year ago I wrote an article about problems I was having when estimating the parameters of a GARCH(1,1) model in R. I documented the behavior of parameter estimates (...

H2O + AWS + purrr (Part III) This is the final installment of a three part series that looks at how we can leverage AWS, H2O and purrr in R to build analytical pipelines. In the previous posts I looked at starting up the environment through the EC2 dashboard on ...

Introduction In this study, Redwall Analytics looks at 12 years of adjusted gross income data from over 140 million annual tax returns across the US and compare to Connecticut returns over five income brackets. We find a few suprising trends: Despite being the highest income state, mean income of Connecticut’s $100k ...

How many times do I look at my phone? I set up a small program on my phone to count the screen activations and logged to a file. In this post I show what went wrong and how to plot the results. The data I set up a small program ...

During the rstudio::conf(2019L), I've presented an eposter called "Building Big Shiny Apps — A Workflow". You can find the poster here, and this blog post is a transcription of what I've been explaining while presenting the poster.Read More → The post Building Big Shiny Apps — A Workflow (1/2) appeared first ...

Photo by Pakata Goh on UnsplashClustering is one of the most common unsupervised machine learning problems. Similarity between observations is defined using some inter-observation distance measures or correlation-based distance measures. There are 5 classes of clustering methods: + Hierarchical Clustering+ Partitioning Methods (k-means, PAM, CLARA)+ Density-Based Clustering+ Model-based Clustering+ Fuzzy Clustering My ...