R-bloggers

Introduction Welcome back, data enthusiasts! Today, we’re diving into the fascinating world of random walks using the TidyDensity R package. If you’re working with time series data, financial modeling, or stochastic processes, understanding ran...

Introduction Welcome back to our series where we explore the synergy between R and VBA! Today, we’re diving into the FileDateTime function in VBA and how you can leverage it within R. This function is incredibly useful for anyone dealing with f...

cURL is the ultimate Swiss Army Knife for interacting with network protocols. But to be honest, I really only scratch the surface of what’s possible. Usually my workflow is something like this: Copy a cURL command from my browser’s Developer Tools. Test out the cURL command in a ...

#195–196PuzzlesAuthor: ExcelBIAll files (xlsx with puzzle and R with solution) for each and every puzzle are available on my Github. Enjoy.Puzzle #197Today we have some warehouse management issue. We were provided with log of products stocked in three ...

Puzzles no. 489–493PuzzlesAuthor: ExcelBIAll files (xlsx with puzzle and R with solution) for each and every puzzle are available on my Github. Enjoy.Puzzle #489Today we get some kind of schedule of appointments, we have time intervals of various lengt...

When it comes to time series forecasting in R, one thing you don’t lack is options. There are dozens of algorithms and their variations you can choose from, and doing so is usually overwhelming to newcomers. That’s where this article chimes in. In the next 15 minutes, you’ll ...

https://carlalexander.ca/beginners-guide-regular-expressions/ Introduction In text data analysis, being able to search for patterns, validate their existence, and perform substitutions is crucial. R provides powerful base functions like gr...

ShinyProxy has emerged as a powerful solution for deploying Shiny applications, empowering organizations to share interactive data visualizations and analyses. With its robust feature set, ShinyProxy has simplified the process of managing and scaling Shiny apps for a wide range of use cases. The ShinyProxy 3.1.1 release marks a significant leap ...

Introduction If you’re a data scientist or statistician who often deals with probability distributions, you know the importance of seamlessly integrating these functions into your workflow. That’s where the TidyDensity package comes into play. ...

learningmachine v2.0.0: Machine Learning with explanations and uncertainty quantification

In the US, the Federal Government's National Renewable Energy Lab released the 2024 "Annual Technology Baseline" a couple of weeks ago. The large, yearly dataset does a few things. For one, it collects data on constructed electricity generators by type...

Introduction Today, we’re going to walk through an example of fitting a linear model in R, summarizing the results, and exporting the findings to an Excel file. This workflow is useful for documenting and sharing your statistical analysis. Let’...

Line charts are one of the most fundamental chart type out there. That’s why there’s a lot of tips for line charts out there. Today, I’m going to walk you through a couple of techniques that you can use to make your line chart nicer. Here, I’...

Nowadays, most data professionals choose either R or Python when it comes to a programming language of choice. But what if you need both? Do you have to constantly switch between environments and IDEs? That’s one option, sure, but leaves a lot to be desired. To solve this problem, ...

Complexity is often an unavoidable reality in design, particularly in fields like product design and user experience (UX). Whether it’s intricate user interactions, multi-layered functionalities, or sophisticated user interfaces, navigating complexity is a fundamental challenge for designers. Make your interfaces more effective by learning how to speak your user’...