This report describes the ‘gdiff’ package for R, which provides tools for performing visual tests on graphical output. Visual testing is essential for checking that ...

Introduction: Data preparation Data partition Poisson model Quasi poisson model Negative binomial model Hurdle model hurdle model with poisson distribution. hurdle model with negative binomial distribution. Zero inflated model Zero inflated model with poisson distribution Zero inflated model with negative binomial distribution Conclusion: Furhter reading: Introduction: When we deal with ...

How to run CausalImpact for SEO Split-testing Experiment. L’article CausalImpact for SEO [SEO Split-Testing Experiment] est apparu en premier sur JC Chouinard.

I was recently fascinated by the illustration taken from the leaflet https://www.maa.org/sites/default/files/pdf/Mathhorizons/pdfs/ColoringPage_MH_Nov17.pdfI knew that complex functions could be colored in mesmerizing ways but the little book by Julie Barnes, William Kreahling, and Beth Schaubroeck, “Coloring book of ...

I was recently fascinated by the illustration taken from the leaflet https://www.maa.org/sites/default/files/pdf/Mathhorizons/pdfs/ColoringPage_MH_Nov17.pdfI knew that complex functions could be colored in mesmerizing ways but the little book by Julie Barnes, William Kreahling, and Beth Schaubroeck, “Coloring book of ...

In this guide, I will provide you with everything you need to set up your own SEO split tests with Python, R, the CausalImpact package and Google Tag Manager. L’article SEO Split Test Using Python + CausalImpact + Tag Manager est apparu en premier sur JC Chouinard.

We’ll be holding a half-day short course on NIMBLE on March 22 at the ENAR meeting in Nashville, Tennessee. The annual ENAR meeting is a major biostatistics conference, sponsored by the eastern North American region of the International Biometric Society. The short course will focus on usage of NIMBLE in ...

Introduction Data preparation Data visualization Data partition Model training Fine tune the hyperparameters Conclusion: Introduction Decision tree1 is a model that recursively splits the input space into regions and defines local model for each resulted region. However, fitting decision tree model to complex data would not yield to accurate prediction ...

chuck is a small app you can use as a training tool for deploying Shiny applications. Why? In late December the ThinkR team followed a three day workshop on Kubernetes, which was the opportunity for us to receive a proper training on how to deploy ap...

Introduction A super simple post that summarizes R-based methods for visual summary & collage-building using image attachments on Twitter. In the process, a bit of a photo homage to Congresswoman Xochitl Torres Small in her first year representing New Mexico’s 2nd district.

if (!require("pacman")) install.packages("pacman")
pacman::p_load(tidyverse, rtweet, tigris) 
options(tigris_use_cache = TRUE, tigris_class = "sf")

New Mexico’s 2nd District The 2nd ...

We had such a positive reception to our last Introduction to Data Science promotion, that we are going to try and make the course available to more people by lowering the base-price to $29.99. We are also creating a 1 month promotional price of $20.99. To get a permanent subscription to the course ...

You can also check this post, written in #blogdown, here: playing-with-post-hoc-power. Current state of the matter The reason for bringing this here is that I witnessed an interesting exchange some time ago, regarding one article and their use of post-hoc power, … Sigue leyendo →

Introduction Over the past months, we published and refined a series of posts on Using Spark from R for performance with arbitrary code. Since the posts have grown in size and scope the blogposts were no longer the best medium to share the content ...

Prepared by Sally Paganin. Reversible Jump MCMC Overview Reversible Jump MCMC (RJMCMC) is a general framework for MCMC simulation in which the dimension of the parameter space (i.e., the number of parameters) can vary between iterations of the Markov chain. It can be viewed as an extension of the ...