I decided to do something a little bit different with this post and show how R can be used in tandem with a traditional engineering CAD program. Together they comprise a streamlined and repeatable workflow that I’ve tried to leverage on my job when it makes sense to do ...

Motivation This post was inspired by my wife who used the GPS data from her Strava app to plot her running routes during 2020. Since I don’t run nearly as much as I used to, I need to go back to when I was training for the NYC marathon to ...

Why should I care?Proportion and share of sequences of different SARS-CoV-2 variants in Germany. The variants with the N501Y mutation (e.g. red one) are alert variants with increased infectivity. Source.The first quarter of 2021 has brought us common k...

I’m excited to announce the first release of the ggfx package, a package that brings R native filtering to grid and ggplot2 for the first time. You can install ggfx with:

install.packages('ggfx')

The purpose of ggfx is to give you access to effects that would otherwise require you to ...

While trying to convey to an OP on X validated why the inversion method was not always the panacea in pseudo-random generation, I took the example of a mixture of K exponential distributions when K is very large, in order to impress (?) upon said OP that solving F(x)=u ...

Here is a screenshot of what we are going to build today. Want to see a live demo? Scroll down for the link! We are building an app that lets you upload images of birds (e.g., taken by your phone) and, with the help of a deep learning model, ...

Rank Order analysis in R!. What is mean by rank data? Suppose we have k subjects and n number of volunteers, each volunteer asked... The post Rank Order analysis in R appeared first on finnstats.

This article is part of a R-Tips Weekly, a weekly video tutorial that shows you step-by-step how to do common R coding tasks. Let’s make a professional business report in 5 minutes in HTML and PDF formats, and incorporates your data analysis in R​. ...

Setup and data preparation Loading the R libraries and data set. # Loading libraries library(forcats) library(tidytext) library(tidyverse) library(tidytuesdayR) # Loading data tt

Part 01: Background about this project Part 02: Data collection Part 03: Data cleaning Part 04: Data analysis Part 05: Ending Part 01: Background about this project This analysis is part of an ongoing exploratory study about the contents related to Bangladesh in different online social media platforms. In the last article tweets that containing Bangladesh ...

I thought I’d written about this before, but I searched through my posts and I couldn’t find what I was looking for. If I am repeating myself, my apologies. I explored missing data two years ago, using directed acyclic graphs (DAGs) to help underst...

Though ggplot() makes beautiful graphics, I often find myself going back to old projects to find a template for how to set up the code to make ggplot() graphs. Here I will show you how to make a barplot in ggplot. Then we will look at some variants of the ...