This email is a newsletter from R-bloggers, providing a list of 39 new R posts from the past week. Entities: R-bloggers Tags: R package development, Canvas Learning Management System, PowerQuery, logo design, sorting and ranking data, vector manipulation, customized distributions, Excel puzzles, visual communication, Shiny app optimization, formatting objects, data extraction, data grouping, generative AI, deep neural networks, ggplot, data frame manipulation, distinct elements estimation, count function, text export, positive/negative values, AI conference, GitLab-CI, pattern matching, privacy protection, code optimization [R-bloggers] 39 new R posts from the past week POSTS IN THIS NEWSLETTER: * Introduction to vvcanvas * PowerQuery Puzzle solved with R * Get a Free New Logo for Your R Package in Our Hex Design Contest * Sort or Order Rank in R * How to Split a Vector into Chunks in R * simstudy 0.8.0: customized distributions * R Solution for Excel Puzzles * Effective Visual Communication with R workshop * R Shiny and DuckDB: How to Speed Up Your Shiny Apps When Working With Large Datasets * formatdown v0.1.4 * How to Remove Specific Elements from a Vector in R * Divide data into groups in R * Extract certain rows of data set in R * Course Launch: Generative AI for Data Scientists in 11 Days! * A detailed introduction to Deep Quasi-Randomized ‘neural’ networks * Three Ways to Include Images in Your ggplots * Select variables of data frame in R * A simple probabilistic algorithm for estimating the number of distinct elements in a data stream * Count Function in R I dplyr::count() * Export output as text in R * Positive or Negative in R * Free DataCamp Online Conference: Radar: AI Edition, June 26–27, 2024 * gitlabr V2.1.0 – gitlab-ci with ‘pak’ and functions to deal with groups on GitLab * Mastering gregexpr() in R: A Comprehensive Guide * Applications of randomNames (an R-Package): avoid real names! * Find Out How many Times Faster your Code is * Communication Tips for your Open-Source Project * Shiny and Beyond: Mastering Interactive Web Applications with R and Appsilon Packages * Gergely Daróczi’s Journey: Empowering R Users in Hungary * New York City’s POC Population * Shiny for Python Shinylive: How to Run Shiny for Python Apps Without a Python Server * Base R Equivalents of dplyr Functions Part 1 – coalesce * Counting Words in a String in R: A Comprehensive Guide * AIC in the well-specified linear model: theory and simulation * Enhancing R: The Vision and Impact of Jan Vitek’s MaintainR Initiative * Documenting My Code … For Me * Cross product of transpose of matrix in R * Logistic Function in R * How to Select Columns Containing a Specific String in R ---------------------------------------- INTRODUCTION TO VVCANVAS (Published on 2024-05-21) Automate Canvas LMS Tasks with vvcanvas Introduction Today, we’re thrilled to introduce the vvcanvas package, an R library aimed at enhancing interactions with the Canvas Learning Management System (LMS). Whether you’re involved in development, ... Continue reading: Introduction to vvcanvas ---------------------------------------- POWERQUERY PUZZLE SOLVED WITH R (Published on 2024-05-21) #183–184PuzzlesAuthor: ExcelBIAll files (xlsx with puzzle and R with solution) for each and every puzzle are available on my Github. Enjoy.Puzzle #183This Saturday we had quite interesting case to solve. We had table with rental agreements, which need ... Continue reading: PowerQuery Puzzle solved with R ---------------------------------------- GET A FREE NEW LOGO FOR YOUR R PACKAGE IN OUR HEX DESIGN CONTEST (Published on 2024-05-21) At Appsilon, we are committed to supporting the R community and empowering developers. We are thrilled to introduce our Hex Logo Design Contest—a great opportunity to enhance your R package with a unique, custom-designed hex logo! ‍ If you’re the creator of an R package that needs a visually ... Continue reading: Get a Free New Logo for Your R Package in Our Hex Design Contest ---------------------------------------- SORT OR ORDER RANK IN R (Published on 2024-05-21) The post Sort or Order Rank in R appeared first on Data Science Tutorials Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials. Sort or Order Rank in R with sort(), order(), and rank() Functions. We will learn how to sort data in R ... Continue reading: Sort or Order Rank in R ---------------------------------------- HOW TO SPLIT A VECTOR INTO CHUNKS IN R (Published on 2024-05-21) Introduction In data analysis, there are times when you need to split a vector into smaller chunks. Whether you’re managing large datasets or preparing data for parallel processing, breaking down vectors can be incredibly useful. In this post, ... Continue reading: How to Split a Vector into Chunks in R ---------------------------------------- SIMSTUDY 0.8.0: CUSTOMIZED DISTRIBUTIONS (Published on 2024-05-20) Over the past few years, a number of folks have asked if simstudy accommodates customized distributions. There’s been interest in truncated, zero-inflated, or even more standard distributions that haven’t been implemented in simstudy. While I’ve com... Continue reading: simstudy 0.8.0: customized distributions ---------------------------------------- R SOLUTION FOR EXCEL PUZZLES (Published on 2024-05-20) Puzzles no. 454–458PuzzlesAuthor: ExcelBIAll files (xlsx with puzzle and R with solution) for each and every puzzle are available on my Github. Enjoy.Puzzle #454Sombody was counting something, and as usually we have to check it and find the most insigt... Continue reading: R Solution for Excel Puzzles ---------------------------------------- EFFECTIVE VISUAL COMMUNICATION WITH R WORKSHOP (Published on 2024-05-20) Join our workshop on Effective Visual Communication with R, which is a part of our workshops for Ukraine series! Here’s some more info: Title: Effective Visual Communication with R Date: Thursday, June 20th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone) Speaker: Claus Wilke is a data scientist and computational biologist at ... Continue reading: Effective Visual Communication with R workshop ---------------------------------------- R SHINY AND DUCKDB: HOW TO SPEED UP YOUR SHINY APPS WHEN WORKING WITH LARGE DATASETS (Published on 2024-05-20) If there’s one thing with a certain downward trend, it’s got to be people’s attention span. Even Google reports that pages with a load time of 5 seconds increase their probability of bounce by 90%! And that was in 2017! As an R Shiny developer, you must do everything in ... Continue reading: R Shiny and DuckDB: How to Speed Up Your Shiny Apps When Working With Large Datasets ---------------------------------------- FORMATDOWN V0.1.4 (Published on 2024-05-20) Summary In response to issues raised by users, formatdown has new functionality (and bug fixes) with additional arguments affording greater control over the appearance of the formatted objects. R code library(formatdown) library(data... Continue reading: formatdown v0.1.4 ---------------------------------------- HOW TO REMOVE SPECIFIC ELEMENTS FROM A VECTOR IN R (Published on 2024-05-20) Introduction Working with vectors is one of the fundamental aspects of R programming. Sometimes, you need to remove specific elements from a vector to clean your data or prepare it for analysis. This post will guide you through several methods ... Continue reading: How to Remove Specific Elements from a Vector in R ---------------------------------------- DIVIDE DATA INTO GROUPS IN R (Published on 2024-05-19) The post Divide data into groups in R appeared first on Data Science Tutorials Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials. Divide data into groups in R, we will learn how to use the split and unsplit functions in R to divide ... Continue reading: Divide data into groups in R ---------------------------------------- EXTRACT CERTAIN ROWS OF DATA SET IN R (Published on 2024-05-19) The post Extract certain rows of data set in R appeared first on Data Science Tutorials Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials. Extract certain rows of data set in R, we will learn how to extract specific rows of a data ... Continue reading: Extract certain rows of data set in R ---------------------------------------- COURSE LAUNCH: GENERATIVE AI FOR DATA SCIENTISTS IN 11 DAYS! (Published on 2024-05-19) Hey guys, I have a special announcement. I’m gearing up for the launch of my new course: Generative AI for Data Scientists! In just 11 days, my new course will be live. Here’s everything you need to know. Special Announcement: Generative AI Course Lau... Continue reading: Course Launch: Generative AI for Data Scientists in 11 Days! ---------------------------------------- A DETAILED INTRODUCTION TO DEEP QUASI-RANDOMIZED ‘NEURAL’ NETWORKS (Published on 2024-05-18) A detailed introduction to Deep Quasi-Randomized 'neural' networks, with examples in Python and R, and a preprint. Continue reading: A detailed introduction to Deep Quasi-Randomized ‘neural’ networks ---------------------------------------- THREE WAYS TO INCLUDE IMAGES IN YOUR GGPLOTS (Published on 2024-05-18) library(tidyverse) library(giscoR) library(ggiraph) germany_districts as_tibble() |__ janitor::clean_names() germany_states as_tibble() |__ janitor::clean_names() ggplt ggplot(aes(geometry = geometry)) + geom_sf( data = germany_states, aes(fill = nuts_name), color = 'black', linewidth = 0.5 ) + geom_sf_interactive( fill = NA, aes( data_id = nuts_id, tooltip = glue::glue(... Continue reading: Three Ways to Include Images in Your ggplots ---------------------------------------- SELECT VARIABLES OF DATA FRAME IN R (Published on 2024-05-18) The post Select variables of data frame in R appeared first on Data Science Tutorials Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials. Select variables of data frame in R, we will learn how to use the select and rename functions of the ... Continue reading: Select variables of data frame in R ---------------------------------------- A SIMPLE PROBABILISTIC ALGORITHM FOR ESTIMATING THE NUMBER OF DISTINCT ELEMENTS IN A DATA STREAM (Published on 2024-05-18) I just came across a really interesting and simple algorithm for estimating the number of distinct elements in a stream of data. The paper (Chakraborty et al. 2023) is available on arXiv; see this Quanta article (Reference 2) for a … Continue reading → Continue reading: A simple probabilistic algorithm for estimating the number of distinct elements in a data stream ---------------------------------------- COUNT FUNCTION IN R I DPLYR::COUNT() (Published on 2024-05-18) Data analysis is all about turning raw data into actionable insights. I was working on a research project analyzing survey data from thousands of respondents. The clock was ticking, and I needed to summarize responses to hundreds of questions quickly. Manually counting each response would have taken days, if not ... Continue reading: Count Function in R I dplyr::count() ---------------------------------------- EXPORT OUTPUT AS TEXT IN R (Published on 2024-05-18) The post Export output as text in R appeared first on Data Science Tutorials Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials. Export output as text in R, The sink function in R is used to redirect the output of the console to ... Continue reading: Export output as text in R ---------------------------------------- POSITIVE OR NEGATIVE IN R (Published on 2024-05-18) The post Positive or Negative in R appeared first on Data Science Tutorials Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials. Positive or Negative in R, we will learn how to use the sign function in R to determine whether a numeric value ... Continue reading: Positive or Negative in R ---------------------------------------- FREE DATACAMP ONLINE CONFERENCE: RADAR: AI EDITION, JUNE 26–27, 2024 (Published on 2024-05-17) ChatGPT was only the beginning. Generative AI is now revolutionizing every industry. As the race to adopting AI tools intensifies, the decisions we make today about AI will likely shape our success for decades to come. To learn how the world’s data and AI leaders are adapting to this ... Continue reading: Free DataCamp Online Conference: Radar: AI Edition, June 26–27, 2024 ---------------------------------------- GITLABR V2.1.0 – GITLAB-CI WITH ‘PAK’ AND FUNCTIONS TO DEAL WITH GROUPS ON GITLAB (Published on 2024-05-17) You can read the original post in its original format on Rtask website by ThinkR here: gitlabr V2.1.0 – gitlab-ci with ‘pak’ and functions to deal with groups on GitLab A lot of cleanups, new features, and bug fixes for this new version of ‘gitlabr’. You will find brand-new CI/CD ... Continue reading: gitlabr V2.1.0 – gitlab-ci with ‘pak’ and functions to deal with groups on GitLab ---------------------------------------- MASTERING GREGEXPR() IN R: A COMPREHENSIVE GUIDE (Published on 2024-05-17) Introduction If you’ve ever worked with text data in R, you know how important it is to have powerful tools for pattern matching. One such tool is the gregexpr() function. This function is incredibly useful when you need to find all occurrences... Continue reading: Mastering gregexpr() in R: A Comprehensive Guide ---------------------------------------- APPLICATIONS OF RANDOMNAMES (AN R-PACKAGE): AVOID REAL NAMES! (Published on 2024-05-16) Why avoid real names? Using real names (or other personal identities) in research or related activities such as publishing on the web or in journals, presentations, and/or demonstrations can be problematic due to privacy concerns, existing data prote... Continue reading: Applications of randomNames (an R-Package): avoid real names! ---------------------------------------- FIND OUT HOW MANY TIMES FASTER YOUR CODE IS (Published on 2024-05-16) My venetian blinds, in black and white I recently watched Josiah Parry’s wonderful video, “Making R 300x times faster!" It’s a great demonstration of how to rewrite code to be faster, and it’s worth your time. He rewrite... Continue reading: Find Out How many Times Faster your Code is ---------------------------------------- COMMUNICATION TIPS FOR YOUR OPEN-SOURCE PROJECT (Published on 2024-05-16) Do you maintain an open-source project like an R package or a collection thereof, and wonder how to best use various communication channels to inform and engage with your community of users? We’ve consolidated this list of tips. Some of them are... Continue reading: Communication Tips for your Open-Source Project ---------------------------------------- SHINY AND BEYOND: MASTERING INTERACTIVE WEB APPLICATIONS WITH R AND APPSILON PACKAGES (Published on 2024-05-16) Introduction to Shiny and Interactive Web ApplicationsIn today’s data-driven world, the ability to create dynamic, interactive web applications is a highly valuable skill. Shiny, a package developed by RStudio, provides an elegant framework for buildin... Continue reading: Shiny and Beyond: Mastering Interactive Web Applications with R and Appsilon Packages ---------------------------------------- GERGELY DARÓCZI’S JOURNEY: EMPOWERING R USERS IN HUNGARY (Published on 2024-05-16) Gergely Daróczi, the founder and organizer of the Budapest Users of R Network, updated the R Consortium about the group’s recent activities. Last year, Gergely discussed the group’s inception, and... The post Gergely Daróczi’s Journey: Empowering R Users in Hungary appeared first on R Consortium. Continue reading: Gergely Daróczi’s Journey: Empowering R Users in Hungary ---------------------------------------- NEW YORK CITY’S POC POPULATION (Published on 2024-05-16) I was messing around with some Census data this morning. I had two main thoughts. One was to show the utility of old-fashioned grayscale when it comes to mapping data (or displaying it in general). The goal of most carefully thought-through dataviz col... Continue reading: New York City’s POC Population ---------------------------------------- SHINY FOR PYTHON SHINYLIVE: HOW TO RUN SHINY FOR PYTHON APPS WITHOUT A PYTHON SERVER (Published on 2024-05-16) Writing Shiny for Python applications is fun and games, but what about deploying them? Well, it’s the same story. Shiny for Python Shinylive saves the day by offering a beginner-friendly ways (plural) to share Shiny apps. Today you’ll learn a bunch of them. By the end, you’ll ... Continue reading: Shiny for Python Shinylive: How to Run Shiny for Python Apps Without a Python Server ---------------------------------------- BASE R EQUIVALENTS OF DPLYR FUNCTIONS PART 1 – COALESCE (Published on 2024-05-16) The dplyr coalesce function is incredibly useful and similar to the SQL COALESCE function. Given a set of vectors, it finds and keeps the first non-NA value at each position. For example, the following code returns the vector c(1, 2, 3, 4). lib... Continue reading: Base R Equivalents of dplyr Functions Part 1 – coalesce ---------------------------------------- COUNTING WORDS IN A STRING IN R: A COMPREHENSIVE GUIDE (Published on 2024-05-16) Introduction Counting words in a string is a common task in data manipulation and text analysis. Whether you’re parsing tweets, analyzing survey responses, or processing any textual data, knowing how to count words is crucial. In this post, we’... Continue reading: Counting Words in a String in R: A Comprehensive Guide ---------------------------------------- AIC IN THE WELL-SPECIFIED LINEAR MODEL: THEORY AND SIMULATION (Published on 2024-05-15) Theory AIC Consider the AIC for the usual linear model \(Y = X\beta + \varepsilon\): \[ \text{AIC} = \frac{1}{2}\ln(2\pi e\hat \sigma^2)+\frac{p+1}{N} (\#eq:AIC) \] where \(p\) is the dimension of the covariate vector \(X\) and \(\hat \sigma ^2\) is... Continue reading: AIC in the well-specified linear model: theory and simulation ---------------------------------------- ENHANCING R: THE VISION AND IMPACT OF JAN VITEK’S MAINTAINR INITIATIVE (Published on 2024-05-15) The R Consortium recently interviewed Jan Vitek, a professor at Northeastern University’s Khoury College of Computer Sciences. He specializes in programming languages, compilers, and systems. Notably, he developed one of... The post Enhancing R: The Vision and Impact of Jan Vitek’s MaintainR Initiative appeared first on R Consortium. Continue reading: Enhancing R: The Vision and Impact of Jan Vitek’s MaintainR Initiative ---------------------------------------- DOCUMENTING MY CODE … FOR ME (Published on 2024-05-15) Document your code like you can't remember anything. The post Documenting My Code … For Me appeared first on Mark Niemann-Ross. Continue reading: Documenting My Code … For Me ---------------------------------------- CROSS PRODUCT OF TRANSPOSE OF MATRIX IN R (Published on 2024-05-15) The post Cross product of transpose of matrix in R appeared first on Data Science Tutorials Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials. Cross product of transpose of matrix in R, you’ll learn how to calculate matrix cross products using the ... Continue reading: Cross product of transpose of matrix in R ---------------------------------------- LOGISTIC FUNCTION IN R (Published on 2024-05-15) The post Logistic Function in R appeared first on Data Science Tutorials Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials. Logistic Function in R, Here is a rewritten version of the article with the codes included: Logistic Functions in R: A Tutorial In ... Continue reading: Logistic Function in R ---------------------------------------- HOW TO SELECT COLUMNS CONTAINING A SPECIFIC STRING IN R (Published on 2024-05-15) How to Select Columns Containing a Specific String in R Today I want to discuss a common task in data manipulation: selecting columns containing a specific string. Whether you’re working with base R or popular packages like stringr, stringi, or... Continue reading: How to Select Columns Containing a Specific String in R ---------------------------------------- -- This message was sent to a716b976-8845-47fd-9a32-d7e8c4caa5a9@email.dotadda.io by newsletter@r-bloggers.com. To forward this message, please do not use the forward button of your email application, because this message was made specifically for you only. Instead use the forward page in our newsletter system. To change your details and to choose which lists to be subscribed to, visit your personal preferences page. 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