Introduction Network graphs are an important tool for network analysis. They illustrate points, referred to as nodes, with connecting lines, referred to as edges. Since network graphs are such useful tools, there are many options for graph generation. In this posting, I will demonstrate three different techniques for developing network ...

Description This is the second part for the creation of a text prediction Shiny Application. From the previous post, we have developed and Corpus of text to start creating text prediction applications. We have also explored the corpus, looking at the...

In a previous post, I explore the Flex dashboard library for the creation of a clean and interactive dashboard. That post can be found here. Unknown to me at the time, but I sort of skipped over the more natural progression of creating a dashboard with R Shiny. This is ...

I sit here looking for inspiration, nothing interesting to write about. Perhaps there are some popular R packages on CRAN that I don’t know about? You can explore the data on downloads from CRAN with the cranlogs package. Top CRAN downloads With the...

Photo by David Clode on Unsplash The main advantage of using the R Markdown format is the utility of running R code within the text. This is clearly more advantageous than just writing code in a Markdown file. R Markdown is however limited to R cod...

Photo by Clint Patterson on Unsplash Recently I had updated my RStudio client and with it came a new update to R. This is an exploration of some of the most interesting changes from R 4.0 to R 4.1. Native Pipe Function Due to the extreme popularity of the magrittr pipe (‘%__%’), R ...

Photo by Juan Gomez on Unsplash Introduction As a continuation from my previous post exploring the use of the Stargazer library to create better looking tables, I thought I would look into the GT library. The GT library takes a different approach by creating an object class with the GT ...

This post was inspired by the following youtube video. Introduction Tables from regression models or just plain data in R are poorly organized. The have little formatting and are unfit for publishing. This point is illustrated with the CO2 dataset...

The original paper was written on 12/18/2020 Executive Summary This report analyzes collected data on different users preforming barbell lifts performed at different levels of quality. A machine learning algorithm was used to create a model to dete...