I started taking photos earlier this year. And as someone who loves thinking about probability, statistics, chance, randomness, and R programming, I started thinking about ways to apply probabilistic programming to photography. This is my first attempt...

In scientific programming speed is important. Functions written for general public use have a lot of control-flow checks which are not necessary if you are confident enough with your code.To quicken your code execution I suggest to strip run-of-the-mill functions to their bare bones. You can save serious wall-clock ...

Start Linear regression and her bigger brother BART: Treatment effects in the labor market 1 Oct 2022 #Preliminaries: knitr::opts_chunk$set(message=FALSE, warning=FALSE, eval = TRUE) #set eval = TRUE when run first rm(list=ls()) library(...

The snake biting its own tail Disclaimer: I’m a beginner at JS, so don’t ask me about the many intricacies of JS. I’ve been working on a Shiny app for work these past few weeks, and had to use Javascript to solve a very specific issue I ...

"R Python" continued... Kernel SHAP

The post Boosting in Machine Learning:-A Brief Overview appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. Boosting in Machine Learning, A single predictive model, such as linear regression, logistic regression, ridge regression, etc., is the foundation ...

The post Algorithm Classifications in Machine Learning appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. Algorithm Classifications in Machine Learning, There is a vast array of algorithms available in the field of machine learning that can be ...

30 September 2022 The Big Book of R has just had 5 new additions to the collection! Thanks to Gary and Adejumo for some of them! PS for those who may be interested, I have posted my replies to some great questions about cleaning a messy dataset. officeverse by David … The post 5 New ...

Introduction This is part the final part of our three part series Part 1: API as a package: Structure Part 2: API as a package: Logging Part 3: API as a package: Testing (this post) This blog post is a follow on to our API as a package series, which looks to expand ...

The post How do confidence intervals work? appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. How do confidence intervals work?, In statistics, we’re frequently interested in calculating population parameters—numbers that capture some aspect of a ...

Recent challenges in model specification testing based on different data structures Model specification testing is one of the essential methodological tasks in statistics. Recently, with the development of different data structures, envisioning con...

Shiny is a framework that makes it easy to build interactive web applications without requiring traditional web development skills. Since its introduction ten years ago for R, Shiny has made it possible for R users to communicate with a much broader audience—and now Shiny is available for Python! Python ...

 Here is the task: how to append two tables using R Markdown? The need arose because I was demonstrating to graduate students in a research methods course how to prepare Table 1, which often covers descriptive statistics in an empirical paper...

The post How to Find Quartiles in R? appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. How to Find Quartiles in R, A dataset is divided into four equal halves using values known as quartiles. The first ...

The post How to Use Italic Font in R appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. How to Use Italic Font in R, to create an italic typeface in R plots, use the basic syntax shown ...

Shiny is a great way of building interactive web applications without having to have extensive web development knowledge - as long as you know the problem you’re trying to solve, have some ideas of how to display the data, and of course, a bit of R kno...

The beauty of R is its versatility and of course the community 💜 you can use R for literally anything (I use blogdown to set up and maintain my website, xaringan to create slide decks, Shiny to build web applications, ….). All these great tools build u...