الدوري الممتاز الهندي 2020

How to create appropriate data visualizations using tidycharts package.There is a wide range of R packages created for data visualization, but still, something was lacking. There was no simple and easily accessible way to create clean and transparent c... Continue reading: A way of creating clear, transparent, and unified data visualizations http://dlvr.it/S6tHFm

Want to merge pdf files, but keep bookmarks? Read on... Continue reading: PDF editing http://dlvr.it/S6rCBc

ShinyProxy is a free and open-source platform for hosting containerized applications with enterprise features. Continue reading: Hosting Shiny Apps with ShinyProxy: a Review http://dlvr.it/S6rC9N

Weibull Distribution in R, Weibull Distribution was discovered by Swedish physicist Wallodi Weibull in 1939. A continuous random variable X is said to follow Weibull distribution if its probability density function fx(x; α, β)=... The post Weibull Distribution in R appeared first on finnstats. Continue reading: Weibull Distribution in R http://dlvr.it/S6nBSq

In this post, we will work through a simple example of Bayesian regression analysis with the rstanarm package in R. I’ve been reading Gelman, Hill and Vehtari’s recent book “Regression and Other Stories”, and this blog post is my attempt to apply some of the things I’ve ... Continue reading: Bayesian Regression Analysis with Rstanarm http://dlvr.it/S6mXyJ

This is the latest in my series of screencasts demonstrating how to use the tidymodels packages, from just getting started to tuning more complex models. Today’s screencast is good for folks who are newer to modeling or tidymodels; it focuses on how ... Continue reading: Fit and predict with tidymodels for #TidyTuesday bird baths in Australia http://dlvr.it/S6mXxh

Like many people during the COVID19 crisis, I turned to the stock market as a new hobby. Like the ignorant investor that I am, I thought it wise to hop on the cloud computing bandwagon. Hence, I bought, among others, a small position in Rackspace Technologies. A long way down ... Continue reading: How to confuse your shareholders by bad data visualization http://dlvr.it/S6hrxk