Federica Gazzelloni, co-organizer of R-Ladies Rome, recently spoke with the R Consortium about the fast-growing R community in Rome. The group collaborates with R user groups worldwide and has successfully... The post R-Ladies Rome: Empowering Women in Data Science Through Collaboration and Innovation appeared first on R Consortium. Continue reading: R-Ladies Rome: Empowering Women in Data Science Through Collaboration and Innovation ..read more

Introduction Creating summary tables is a key part of data analysis, allowing you to see trends and patterns in your data. In this post, we’ll explore how to create these tables using tidyquant and dplyr in R. These packages make it easy to man... Continue reading: Creating Summary Tables in R with tidyquant and dplyr ..read more

Introduction This blog is about world happiness ladder using the world happiness report data sets (Helliwell et. al., 2024). The basic objective is to demonstrate the use of panel data which is quite distinct from cross-sectional or time series dat... Continue reading: Global movement of Happiness ladder with Machine learning in R ..read more

Introduction In R, finding patterns in text is a common task, and one of the most powerful functions to do this is grep(). This function is used to search for patterns in strings, allowing you to locate elements that match a specific pattern. T... Continue reading: Mastering Wildcard Searches in R with grep ..read more

[This article was first published on Online College Math Teacher, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. The distribution has changed; and pretty tables in base R, by Jerry Tuttle       So you spent hours, or maybe days, cranking out thousands of numbers, you submit it to your boss just at the deadline, your boss quickly peruses your exhibit of numbers, points to a single number and says, “This number doesn’t look rig ..read more

[This article was first published on Steve's Data Tips and Tricks, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Introduction When working with Excel, it’s often useful to know the name of the workbook you’re working in, especially if you’re managing multiple files. Today, we’ll look at how to retrieve the workbook name using VBA (Visual Basic for Applications) and then call this VBA code from R. This post will walk you through the steps with clear ..read more

[This article was first published on gacatag, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. In this post I show how groupScatterPlot(), function of the rnatoolbox R package can be used for plotting the individual values in several groups together with their mean (or other statistics). I think this is a useful function for plotting grouped data when some groups (or all groups) have few data points ! You may be wondering why to include such function i ..read more

[This article was first published on Steve's Data Tips and Tricks, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Introduction Hello, fellow R programmers! Today, we’re looking at a practical topic that often comes up when dealing with text data: how to check if a string contains multiple substrings. We’ll cover how to do this in base R, as well as using the stringr and stringi packages. Each approach has its own advantages, so let’s explore them tog ..read more

[This article was first published on Appsilon | Enterprise R Shiny Dashboards, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. In pharmaceutical research, the exploration of RNA-ligand interactions is a significant challenge, marking a stark contrast to the more developed understanding of protein-ligand interactions. Our AI model reduces the number of missed protein crystals by over 30% compared to state-of-the-art benchmarks. Learn more about Cryst ..read more

[This article was first published on RStudioDataLab, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Welcome to the ultimate resource for Frequently Asked Questions related to RStudio! If you’ve ever felt overwhelmed by the vast world of data analysis or uncertain about how to get started with downloading RStudio, installing R, or integrating Python with RStudio, you’re in the right place. As a certified Data Analyst with a PhD and five years of exper ..read more