How to Concatenate Strings in R
We can perform string concatenation in R language using the paste() and cat() methods. In this tutorial, let us explore the various methods available to concatenate strings in r and…
2022
NIMBLE virtual short course, January 4-6, 2023
We’ll be holding a virtual training workshop on NIMBLE, January 4-6, 2023 from 8 am to 1 pm US Pacific (California) time each day. NIMBLE is a system for building and sharing analysis methods for statistical models, especially for hierarchical models and computationally-intensive methods (such as MCMC and SMC). Recently we added ...
Free MOOC course at openHPI.de: Introduction to Bayesian Data Analysis (starts 25 Jan 2023)
Y-Aware PCA
We have had some trouble with some articles being damaged or hard to access in the Win Vector blog. I (John Mount) do want to apologize for that. In particular the graphs are missing for Dr. Nina Zumel’s wonderful y-aware Pricipal Components regression series. The complete R .md and .... [Read more...]
Taking on Virtual Events with Regular Structured and Casual Meetups ☕️
The R Consortium recently interviewed John Blischak and Tim Hoolihan with the Cleveland R UseR Group. The organizers share more about how the group managed to continue to grow with...
The post Taking on Virtual Events with Regular Structured and Casual Meetups ☕️ appeared first on R Consortium.
Monty Hall problem, with Thompson sampling
We all know the Monty Hall problem. Recently, Jason Rosenhouse published a book on that topic (entitled The Monty Hall Problem, The Remarkable Story of Math’s Most Contentious Brain Teaser). The game is more or less described by the following question Suppose you’re on a game show, and ... [Read more...]
Calculating the Fire Danger Index (FDI)
In a previous post I took a look at some granular weather data that I acquired via the Weather API. One interesting application of these data is calculating the Fire Danger Index (FDI), which measures the degree of fire danger using information on dryness, wind speed, temperature and humidity.
How strongly does German electricity demand react to high prices?
The discussion on how to deal with exploding European electricity prices takes on steam. Recent ideas of the EU and similar proposals by the German government do not directly attempt to reduce electricity wholesale prices. The goal is to collect infra-...
Importance of Data Cleaning in Machine Learning
The post Importance of Data Cleaning in Machine Learning appeared first on finnstats.
If you are interested to learn more about data science, you can find more articles here finnstats.
Importance of Data Cleaning in Machine Learning, This post will show you how to perform data cleaning to get your ...
DataCamp Recruit: A better way to hire data professionals
DataCamp Recruit is built to help you find, hire and scale industry leading data teams. The platform provides access to one of the largest sources of certified data professionals, with clear insights into the precise skills, experience, and expertise that you need to hire for. Why we launched DataCamp Recruit ...
Fundamentals of Exploratory and Inferential Spatial Data Analysis in R workshop
Learn how to work with Spatial Data in R, while contributing to charity! Join our workshop on Fundamentals of Exploratory and Inferential Spatial Data Analysis in R which is a part of our workshops for Ukraine series. Here’s some more info: Title: Fundamentals of Exploratory and Inferential Spatial Data ... [Read more...]
nanonext – a web toolkit
Shikokuchuo
The previous two articles have centered on the main uses which
led to the creation of Nanonext - the desire to bridge code written in
different languages, as well as the ability to perform actions
concurrently.
This article aims to highlight the additional features that have been
built around ...
Using Shiny Server in Docker
A quick note on how to use the Shiny Server Docker image, rocker/shiny.
I’m a big believer in starting with the simplest possible setup, getting that to work and then adding complexity in layers. We’ll start with a simple Shiny application in app.R.
Talks to watch at the RSS International Conference
The RSS International Conference 2022 is happening next week from 12-15 September 2022, hosted in Aberdeen for the first time! Jumping Rivers are exhibiting at the conference, as well as deliverin...
Financial Industry Supports Robust Vienna R Community
Assess Performance of the Classification Model
The post Assess Performance of the Classification Model appeared first on finnstats.
If you are interested to learn more about data science, you can find more articles here finnstats.
Assess Performance of the Classification Model, We can evaluate a classification model’s effectiveness using a metric called the Matthews correlation ... [Read more...]
How to Avoid Overfitting?
The post How to Avoid Overfitting? appeared first on Data Science Tutorials
How to Avoid Overfitting?, Overfitting is a frequent error committed by Data Scientists. Your many hours of coding may be wasted if this happens. Your model’s outputs could be inaccurate, which would complicate the decision-making process even ...
Professional Shiny App UI and Layouts with imola and shiny.fluent
Shiny as a web framework is known for its combination of power, simplicity, and flexibility. It’s a convenient tool for app development at all levels, from proof of concept to production-grade Shiny apps. With additional packages like {imola} and {shiny.fluent}, anyone can create professional Shiny app UIs with ...
The Package: learning how to build an R package
I recently made my first R package and was asked how I did it. The answer of course was: I searched, read, and stumbled around until it was done. But having gone through the process I figured it was worthwhile summarising what I did and what I found tricky. First ...
RObservations #38: Visualizing Average Delay Times On TTC Subway Stations
Introduction Any Torontonian who has commuted regularly on the TTC has probably experienced their fair share of delays on the subway. Having experienced a few recently I was inspired to visualize the average delay times across all stops on the subway. What are the stations with the longest delays on ...
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