R-bloggers

Introduction Printing multiple variables on the same line is a fundamental skill for R programmers. This guide will introduce you to the cat() function, a powerful tool for efficient and flexible output in R. Introduction to cat() The cat() f...

Artwork by: Shannon Pileggi and Allison Horst Introduction Data analysis requires a deep understanding of how to structure data effectively. Often, datasets are not in the format most suitable for analysis or visualization. That’s wher...

Introduction to printf() in C In the world of C programming, understanding how to effectively use printf() is crucial for any beginner. As one of the most widely used functions, it plays a pivotal role in outputting formatted text to the consol...

#217–218PuzzlesAuthor: ExcelBIAll files (xlsx with puzzle and R with solution) for each and every puzzle are available on my Github. Enjoy.Puzzle #217Turn around, transpose, pivot it all means almost the same. Like table asked us to spin itself around....

In Rhino 1.7.0, we began introducing the Rhino style guide and linting for box::use() calls to promote best practices for code quality. These linter functions were eventually separated from Rhino 1.8.0 into the {box.linters} package. Among the checks performed by {box.linters} are rules covering box::use() calls. For existing ...

Introduction In the world of R programming, tibbles are enhanced data frames that provide a more user-friendly way to handle data. Unlike traditional data frames, tibbles come with a set of features that make data manipulation and viewing easie...

Puzzles no. 539–543PuzzlesAuthor: ExcelBIAll files (xlsx with puzzle and R with solution) for each and every puzzle are available on my Github. Enjoy.Puzzle #539Many companies have to diversify their source of resources, to optimize prices etc. So they usually have their orders somehow mixed between vendors. In this case ...

It finally happened. It’s been almost two years since the first release of ChatGPT. It took the world by storm, to put it mildly. In the short period that followed, we now have multiple companies building Generative AI platforms that were unimaginable before late 2022. What a great time to ...

Introduction Welcome to the world of ‘RandomWalker’, an innovative R package designed to simplify the creation of various types of random walks. Developed by myself and my co-author, Antti Rask, this package is in its experimental phase but pro...

Hey guys, welcome back to my R-tips newsletter. Getting quick insights into your data is absolutely critical to data understanding, predictive modeling, and production. But it can be challenging if you’re just getting started. Today, I’m going to show ...

Table of Contents Scatter Plot (geom_point) Code ggplot(mtcars, aes(x = mpg, y = wt)) +geom_point(color = "darkblue", size = 3) +ggtitle("MPG vs Weight") Copy Line Chart (geom_line) Code ggplot(mtcars, aes(x = seq_along(mpg), y = mpg)) + geom_line(color = "green", linewidth = 1) + ggtitle("Line Chart of MPG") Copy ...

I’ve recently noticed that stepwise regression is still fairly popular, despite being well and truly frowned upon by well-informed statisticians. By stepwise regression, I mean any modelling strategy that involves adding or subtracting variables from a...

Introduction In data analysis, one of the common tasks is identifying and handling duplicate entries in datasets. Duplicates can arise from various stages of data collection and processing, and failing to address them can lead to skewed results...

Attention: Article looks long at word count, but remember that contains pretty long chunks of code.Disclaimer:While my work in this series draws inspiration from the IBCS® standards, I am not a certified IBCS® analyst or consultant. The visualizations and interpretations presented here are my personal attempts to apply ...