## jamovi for R: Easy but Controversial

jamovi is software that aims to simplify two aspects of using R. It offers a point-and-click graphical user interface (GUI). It also provides functions that combines the capabilities of many...continue reading.

jamovi is software that aims to simplify two aspects of using R. It offers a point-and-click graphical user interface (GUI). It also provides functions that combines the capabilities of many...continue reading.

A brand new shiny package has entered the world yesterday: shinyalert. It does only one thing, but does it well: show a message to the user in a modal (aka...continue reading.

Have you spent hours, pulling your hair out trying to figure out how to access datasets in R? Once imported to a variable, columns from a dataset (eg: CSV) can...continue reading.

Keras is a popular Python package to do the prototyping for deep neural networks with multiple backends, including TensorFlow, CNTK, and Theano. Currently, there are two R interfaces that allow...continue reading.

In my previous post (https://statcompute.wordpress.com/2018/01/28/modeling-lgd-with-proportional-odds-model), I’ve discussed how to use Proportional Odds Models in the LGD model development. In particular, I specifically mentioned that we would estimate a sub-model, which...continue reading.

Adding a file to your R notebook is a simple 2 step process.1. “Import” file to notebook session.This makes sure your dataset is isolated in one state so that it doesn’t change...continue reading.

I’m pleased to announce an update for the sjmisc-package, which was just released on CRAN. Here I want to point out two important changes in the package. New default option...continue reading.

Project Objective Untappd has some usage restrictions for their API, namely not allowing any exploration for analytics or data mining use cases, so I’m going to explore tweets of beer...continue reading.

Similar to COM-Poisson, Double-Poisson, and Generalized Poisson distributions discussed in my previous post (https://statcompute.wordpress.com/2016/11/27/more-about-flexible-frequency-models/), the Hyper-Poisson distribution is another extension of the standard Poisson and is able to accommodate both...continue reading.

On every SQL community event, where there could be a cluster of sessions dedicated to BI or analytics, I would have people asking me, “which one would you recommend?” or...continue reading.

The LGD model is an important component in the expected loss calculation. In https://statcompute.wordpress.com/2015/11/01/quasi-binomial-model-in-sas, I discussed how to model LGD with the quasi-binomial regression that is simple and makes no...continue reading.

Exploratory data analysis, data preparation and model performance using ‘funModeling’ R package.continue reading.

In war, truth is the first casualty (Aeschylus) I am not a pessimistic person. On the contrary, I always try to look at the bright side of life. I also...continue reading.

In this tutorial, we will explore the open roles at Google, and try to see what common attributes Google is looking for, in future employees. This dataset is a compilation...continue reading.

Bob Rudis (@hrbrmstr) is a famed expert, author and developer in Data Security and the Chief Security Data Scientist at Rapid7. Bob also creates the most deliciously vivid images of...continue reading.

[crayon-5b7bf0b57c71c617194310-i/] is a useful frequentist approach to hierarchical/multilevel linear regression modelling. For good reason, the model output only includes t-values and doesn’t include p-values (partly due to the difficulty in estimating...continue reading.

In this post, I’ll describe a fun visualization of Anscombe’s quartet I whipped up recently.If you aren’t familiar with Anscombe’s quartet, here’s a brief description from its Wikipedia entry: “Anscombe’s...continue reading.

A guide through the available drivers and tools when using Amazon Redshift from R and/or RStudio. We examine RPostgreSQL, RPostgres and RJDBC.continue reading.

A try to automatize the data preparation discretization stage. Converting numerical variables into categorical to be used in real scenarios.continue reading.

If you’re a Big Baller, you know when to stayeth in your lane but also when to switcheth lanes. The Big Baller Brand brothers just inked a deal to play...continue reading.