When it comes to undertaking complex data science projects, R is the preferred choice for many. Why? Because handling complex tasks is simpler in R than other comparable platforms.Regrettably, the...continue reading.
For over a century, academics have been teaching the Student’s T-test and practitioners have been running it to determine if the mean values of a variable for two groups were...continue reading.
A. INTRODUCTION When building statistical models, the goal is to define a compact and parsimonious mathematical representation of some data generating process. Many of these techniques require that one make...continue reading.
SQL Server Reporting services (SSRS) is an outstanding tool for creating, deploying and managing paginated, mobile, KPI reports as well as Power BI reports. Tool provides simple way to share...continue reading.
I’ve just updated The Popularity of Data Science Software to reflect my take on Gartner’s 2018 report, Magic Quadrant for Data Science and Machine Learning Platforms. To save you the...continue reading.
When I learned and experimented a new model, I always like to start with its likelihood function in order to gain a better understanding about the statistical nature. That’s why...continue reading.
A. Motivation During the recent RStudio Conference, an attendee asked the panel about the lack of support provided by the tidyverse in relation to time series data. As someone who...continue reading.
After switching the role from the credit risk to the operational risk in 2015, I spent countless weekend hours in the Starbucks researching on how to model operational losses in...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.
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.
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.
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.
[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.
You know the drill by now. Grab the tweets. Generate the report using RMarkdown. Push to Github. Publish the report. This time it’s the Australian Bioinformatics & Computational Biology Society...continue reading.
GIS / R / R News / Shiny / Visualization
Interactive visualization of geospatial data with R Shiny
April 17, 2021
