On my last post I gave an intuitive demonstration of what’s causal inference and how it’s different than classic ML. After receiving some feedback I realize that while the post was easy to digest, some confusion remains. In this post I’ll delve a bit deeper into what ...

On my last post I gave an intuitive demonstration of what’s causal inference and how it’s different than classic ML. After receiving some feedback I realize that while the post was easy to digest, some confusion remains. In this post I’ll delve a bit deeper into what ...

Motivation Uber and Lyft who are the main ridesharing companies can make more money at a faster rate by filling their cars with passengers at a higher peak time when they are on the road. The typical Uber/Lyft driver normally have full-time jobs, full-time students, or in between jobs. ...

A few months ago I attended the 2019 rstudio::conf, including the shiny train-the-trainer workshop. It was a two day workshop and it inspired me in many ways. The first day of the workshop focused on the very basics of teaching (R or anything else),...

We are happy to introduce the rbin package, a set of tools for binning/discretization of data, designed keeping in mind beginner/intermediate R users. It comes with two RStudio addins for interactive binning. Installation

# Install release version from CRAN
install.packages("rbin")

# Install development version from GitHub
# install.packages("devtools")
devtools::install_github("rsquaredacademy/rbin")

RStudio Addins rbin includes two RStudio addins for manually binning data. Below is a ...

Analysis is important, but study design is paramount. I am involved with the Diabetes Research, Education, and Action for Minorities (DREAM) Initiative, which is, among other things, estimating the effect of a group-based therapy program on weight loss for patients who have been identified as pre-diabetic (which means they have ...

As I conduct some analysis for a content validation study, I wanted to quickly blog about a fun plot I discovered today: ggpairs, which displays scatterplots and correlations in a grid for a set of variables.To demonstrate, I'll return to my Facebook d...

Hugo Bowne-Anderson, the host of DataFramed, the DataCamp podcast, recently interviewed Noemi Derzsy, a Senior Inventive Scientist at AT&T Labs Research within the Data Science and AI Research organization. Introduction Noemi Derzsy Hugo: Hi there, Noemi, and welcome to DataFramed. Noemi: Hi. Thank you for having me. Hugo: It's ...

With the rise of digital marketing led by tools including Google Analytics, Google Adwords, and Facebook Ads, a key competitive advantage for businesses is using A/B testing to determine effects of digital marketing efforts. Why? In short, small change...

“Sydney stations where commuters fall through gaps, get stuck in lifts” blares the headline. The story tells us that: Central Station, the city’s busiest, topped the list last year with about 54 people falling through gaps Wow! Wait a minute… Central Station, the city’s busiest Some poking around in ...

CategoriesRegression Models Tags Bayesian Analysis Linear Regression R Programming t-test The premise of Bayesian statistics is that distributions are based on a personal belief about the shape of such a distribution, rather than the classical assumption which does not take such subjectivity into account. In this regard, Bayesian statistics defines ...