الدوري الممتاز الهندي 2020

Marcela Victoria Soto, co-organizer of the R4HR -Club de R para RRHH, Buenos Aires, Argentina, recently updated the R Consortium about the group’s recent activities. Last year, Sergio García Mora,... The post R4HR in Buenos Aires: Leveraging R for Dynamic HR Solutions appeared first on R ... Continue reading: R4HR in Buenos Aires: Leveraging R for Dynamic HR Solutions http://dlvr.it/T7gP5H

Call for abstracts now open We are excited to announce the Call for Abstracts for Shiny in Production 2024, to be held on 9th-10th October 2024 in Newcastle upon Tyne, UK. This event brings together industry experts, data scientists, and develope... Continue reading: Shiny in Production 2024: Call for Abstracts http://dlvr.it/T7dNtj

Calculating cumulative percentage or percentage per group for each time can sometimes be a task with a slight twist. Let’s check this with ggplot2 and tidyverse. Three (out of many more) ways to show how this can be achieved. using…Read more › Continue reading: Calculating data for visualization on stacked 100% bar http://dlvr.it/T7cx9b

Wrapping up season 46 and time for another release of survivoR. A few new things in this release including two […] The post {survivoR} 2.3.3 is now available appeared first on Dan Oehm | Gradient Descending. Continue reading: {survivoR} 2.3.3 is now available http://dlvr.it/T7bqMd

Introduction Hello, R enthusiasts! Today, I’m excited to introduce a new function in the healthyR.data package: get_provider_meta_data(). This function is excellent for anyone working with healthcare datasets, making it easy to fetch and filter... Continue reading: Introducing get_provider_meta_data() in healthyR.data http://dlvr.it/T7b5xx

Cytel is the first CRO involved in the {admiral} open-source project. Having the ambition to demonstrate our skills in the open-source projects, it was with lots of excitement that we accepted the challenge to enter the {admiral} developm... Continue reading: Our experience as new admiral developers, coming from a CRO http://dlvr.it/T7b5dM

I’m about to start work on a second edition of my Data Visualization book. As a result I continue to mess around with stuff I’m considering including in a new edition. The other day I pulled some block-level Census data and drew a map of th... Continue reading: Race and Ethnicity in New York City http://dlvr.it/T7YmPw

The post Run a specific code block in R appeared first on Data Science Tutorials Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials. Run a specific code block in R, We will cover the basic syntax and definitions of the switch function, as ... Continue reading: Run a specific code block in R http://dlvr.it/T7YKy9

I saw a toot celebrating a short, clean implementation of a square root finding algorithm and wanted to dig a bit deeper into how it works, with a diversion into some APL. This was the toot from Jim Gardner Doubly pleased with myself. Been doing the Tour of Go. Got ... Continue reading: Iterative Square Root http://dlvr.it/T7Xwrl

#185–186PuzzlesAuthor: ExcelBIAll files (xlsx with puzzle and R with solution) for each and every puzzle are available on my Github. Enjoy.Today we need to add index for employees. De facto, we need to assign them their number in order of their occuran... Continue reading: PowerQuery Puzzle solved with R http://dlvr.it/T7WZpC

Introduction Hey, R users! 🌟 Today, we’re going to look at a great new addition to the healthyR.data package—the get_cms_meta_data() function! This function is a helpful tool for retrieving and analyzing metadata from CMS (Centers for Medicare ... Continue reading: Unveiling the Power of get_cms_meta_data() in healthyR.data http://dlvr.it/T7WZTh

The post Replace first match in R appeared first on Data Science Tutorials Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials. Replace first match in R, This article explains how to replace patterns in characters in R using the sub() and gsub() functions. ... Continue reading: Replace first match in R http://dlvr.it/T7VM4f

The R version of my Desert Island Docker talk. Similar idea to Desert Island Docker: Python Edition. Continue reading: Desert Island Docker: R Edition http://dlvr.it/T7TXD5

We’re thrilled to announce a significant update to our ecosystem of R packages designed to bring the power of React libraries to Shiny. These updates span across our core package, shiny.react, and its companions, shiny.fluent and shiny.blueprint. The update ensures that their users have access to ... Continue reading: Announcing Exciting Updates to Shiny-React Ecosystem http://dlvr.it/T7TX6p

Introduction to 2024 Institutional and Hedge Fund managers return from summer vacation and adjust their financial portfolios at the end of each summer, causing a selloff pressure in the market. September is considered a bad month for the Bulls [1] “G... Continue reading: Trial Post 2024 22 http://dlvr.it/T7RCj5

Very often, we agronomists have to deal with weather data, e.g., to evaluate and explain the behaviour of genotypes in different environments. We are very much used to representing temperature and rainfall data in one single graph with two y-axis, w... Continue reading: Plotting weather data with ggplot() http://dlvr.it/T7RCZV

Dear rOpenSci friends, it’s time for our monthly news roundup! You can read this post on our blog. Now let’s dive into the activity at and around rOpenSci! rOpenSci HQ rOpenSci in the Research Organization Registry rOpenSci was added t... Continue reading: rOpenSci News Digest, May 2024 http://dlvr.it/T7RCSj

A security issue has been found with how the R language serializes objects, and patched since. The security issue is documented under CVE-2024-27322. It affects the serialization functions that were advertised in an earlier note. The R Core Team rece... Continue reading: A security issue with R serialization http://dlvr.it/T7RCFq

Welcome back to the world of purrr! Last time (about a year ago), we spun a metaphorical yarn about the wonders of purrr in R. Today, we're rolling up our sleeves and diving into a hands-on tutorial. We're going to explore how purrr makes working with lists and vectors a ... Continue reading: Mastering purrr: From Basic Maps to Functional Magic in R http://dlvr.it/T7RC3G

Once again a post praising XML. 😇 These are notes from a quite particular use case: what if you want to replace the usage of a function with another one in many scripts, without manual edits and without touching lines that do not contain a call to repl... Continue reading: Automate code refactoring with {xmlparsedata} and {brio} http://dlvr.it/T6tvg6

Join our workshop on Making tables in R with the gt package, which is a part of our workshops for Ukraine series!  Here’s some more info:  Title: Making tables in R with the gt package Date: Thursday, June 13th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)  Speaker: Rich Iannone, Rich is ... Continue reading: Making tables in R with the gt package workshop http://dlvr.it/T6tvTR

#181–182PuzzlesAuthor: ExcelBIAll files (xlsx with puzzle and R with solution) for each and every puzzle are available on my Github. Enjoy.Puzzle #181This weekend we have very interesting situation, because we are basing on the same data, but different... Continue reading: PowerQuery Puzzle solved with R http://dlvr.it/T6tNFt

Introduction When working with data in R, you might need to check if values across multiple columns are equal. This is a common task in data cleaning and preprocessing. In this blog, I’ll show you how to do this using base R, dplyr, and data.ta... Continue reading: Checking if Multiple Columns are Equal in R http://dlvr.it/T6tMxC

Here is a parameterization of a four-dimensional torus knot: \[ p(\theta, \phi) = \begin{pmatrix} \cos\theta \cdot \cos\phi \\ \cos\theta \cdot \sin\phi \\ \sin\theta \cdot \cos 3\phi/2 \\ \sin\theta ... Continue reading: Four-dimensional torus knots http://dlvr.it/T6rSgN

Puzzles no. 449–453PuzzlesAuthor: ExcelBIAll files (xlsx with puzzle and R with solution) for each and every puzzle are available on my Github. Enjoy.Puzzle #449We are starting this week with rotating words. Wait what? No, we are not gonna swirl them a... Continue reading: R Solution for Excel Puzzles http://dlvr.it/T6r0yv

Introduction When working with data frames in R, it’s common to need to check whether a specific column exists. This is particularly useful in data cleaning and preprocessing, to ensure your scripts don’t throw errors if a column is missing. To... Continue reading: How to Check if a Column Exists in a Data Frame in R http://dlvr.it/T6qLfb

Transform your career with vital data and AI skills. Designed for all levels—whether you’ve never written a line of code or you’re an advanced data science practitioner—secure half-price learning across the world’s most in-demand data and AI skills. Save Now What do I get with ... Continue reading: DataCamp Sale: Get 50% off unlimited data and AI learning http://dlvr.it/T6nbbC

BlueSky Statistics exhibit at the American Society for Quality World Conference on Quality and Improvement in San Diego from 12 to 14 May, Booth #720 ( https://asq.org/conferences/wcqi/solution-partners). BlueSky Statistics is an R-based software for statistics, data science, Six Sigma, DoE, and more. An alternative to Minitab and similar software, ... Continue reading: Minitab Alternative BlueSky Statistics to Display Graphical Interface to R at ASQ Conference http://dlvr.it/T6nCPD

Probability of having a credit; using learningmachine. Continue reading: Probability of having a credit; using learningmachine http://dlvr.it/T6nC8w

Hey guys, welcome back to my R-tips newsletter. ChatGPT is a massive productivity enhancer. Lately it’s felt like VSCode, which integrates AI via GitHub Copilot, is moving faster than the RStudio IDE when it comes to integrating AI. Fortunately, I stum... Continue reading: How to Get ChatGPT in R with chattr http://dlvr.it/T6lyMv

Hola a todos, ¡el gran libro de la colección española de R ha crecido a 9 libros!  https://www.bigbookofr.com/espa%C3%B1ol.html /> The post Big Book of R now has ( books in Spanish!) appeared first on Oscar Baruffa. Continue reading: Big Book of R now has ( books in Spanish!) http://dlvr.it/T6lnSJ

Motivation I’ve been playing with the idea of running Doom on Shiny for a while. If Doom runs “everywhere”, it must run on Shiny, right? Doom was released in 1993 and since then it has been ported to many different platforms including: A Kodak d... Continue reading: If Doom runs everywhere, it must run on Shiny http://dlvr.it/T6kMCL

Image by Joshua Woroniecki (Pixabay) Many statistical analysis packages in R utilize design matrices for setting up comparisons between data subsets. The two Bioconductor packages most commonly used for transcriptomics data analysis... Continue reading: A guide to designs and contrasts in DESeq2 http://dlvr.it/T6hkfG

In the intricate world of data analysis, the task of text pattern recognition and extraction is akin to unlocking a secret cipher hidden within ancient manuscripts. This is the realm of regular expressions (regex), a powerful yet often underappreciated tool in the data scientist’s toolkit. Much like the cryptex ... Continue reading: The Rebus Code: Unveiling the Secrets of Regex in R http://dlvr.it/T6fcvL

Appsilon’s core purpose is to advance technology to preserve and improve human life, and it translates into a unified set of values shared by the whole organization. We realize this by creating and enhancing tools to solve the problems our clients are faced with, focusing on impact. We work ... Continue reading: Appsilon Joins the Pharmaverse Council to Advance Open-Source Clinical Reporting http://dlvr.it/T6fcZS

Introduction When working with data frames in R, you may often encounter scenarios where you need to collapse or concatenate text values based on groups within your dataset. This could involve combining text from multiple rows into a single row... Continue reading: How to Collapse Text by Group in a Data Frame Using R http://dlvr.it/T6fcGc

1. What is a treemap? A treemap consists of a set of rectangles which represent different categories in your data and whose size is defined by a numeric value associated with the respective category. For example, a treemap could illustrate the conti... Continue reading: Treemaps In R http://dlvr.it/T6fc0G

Puzzles no. 444–448PuzzlesAuthor: ExcelBIAll files (xlsx with puzzle and R with solution) for each and every puzzle are available on my Github. Enjoy.Puzzle #444This time we were spelling numbers. Yes, you heard it right. We were taking multidigit numb... Continue reading: R Solution for Excel Puzzles http://dlvr.it/T6cw9P

The Turkish Banking sector has always been considered the decisive indicator of the Turkish economy. After the transition to the Orthodox monetary policies, the Central Bank’s interest rate has been rising to 50% in the short term. This has instituted confidence, especially for foreign investors. This confidence has lifted the ... Continue reading: Time Series Forecasting: The BIST Banks Index http://dlvr.it/T6bgm4

ShinyProxy 3.1.0 was released on May 7, 2024. The new version comes with lots of new features and improvements. Let's see the highlights! Continue reading: What Is New in ShinyProxy 3.1.0 http://dlvr.it/T6ZsQ8

Welcoming mvgam to the Comprehensive R Archive Network (CRAN) The goal of mvgam is to use a Bayesian framework to estimate parameters of Dynamic Generalized Additive Models (DGAMs) for time series with dynamic trend component... Continue reading: First release of mvgam(v1.1.0) to CRAN http://dlvr.it/T6Zs9b

The post Extract columns 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. Extract columns of data frame in R, The pull() function in R’s dplyr package allows users to extract columns ... Continue reading: Extract columns of data frame in R http://dlvr.it/T6Z4Hl

Introduction Welcome back, R enthusiasts! Today, we’re going to explore a fundamental task in data analysis: counting the number of missing (NA) values in each column of a dataset. This might seem straightforward, but there are different ways t... Continue reading: Counting NA Values in Each Column: Comparing Methods in R http://dlvr.it/T6Z48y

manual test of post a simple way to visualize or summarize monthly returns as well as average monthly returns using R. Interested readers can modify the instrument, period and length of time to their preference. We start by installing the R packages t... Continue reading: manual test http://dlvr.it/T6Xf6Y

DataCamp is launching DataLab, an AI-enabled data notebook to make it easier and faster than ever before to go from data to insight, regardless of technical ability. The challenge DataLab Solves DataCamp’s mission to democratize data skills has translated into its leading online data and AI learning platform.  Alongside ... Continue reading: DataCamp Launches DataLab: An AI-Enabled Data Notebook http://dlvr.it/T6WPY6

Join our workshop on Cluster Analysis in R which is a part of our workshops for Ukraine series!  Here’s some more info:  Title: Cluster Analysis in R Date: Thursday, June 6th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)  Speaker: Sejal Davla is a neuroscientist and data scientist who works with industry ... Continue reading: Cluster Analysis in R workshop http://dlvr.it/T6WPF5

Various LSBoost examples and benchmarks with PCA and RandomForest dimension reduction. Continue reading: mlsauce’s `v0.18.2`: various examples and benchmarks with dimension reduction http://dlvr.it/T6W8kn

Introduction to 2024 For so many reasons, such as election hypes, pandemic, etc., people with trading, investing or retirement portfolios may want to know how their financial portfolios (or instruments such as stocks or ETFs in their portfolios) perf... Continue reading: Trial Post for 2024 http://dlvr.it/T6W8bQ

Introduction Towards the end of each soccer season, we naturally start to look back at player stats, often looking to see who has performed worse compared to their past seasons. We may have different motivations for doing so–e.g. we may be t... Continue reading: Estimating Shooting Performance Unlikeliness http://dlvr.it/T6TLgc

I set out to see if it was possible to reproduce the UN’s 2022 Revision of World Population Prospects for a given country by cohort component projection from the fertility, mortality and immigration rates and population starting point published as part... Continue reading: Reproducing and adapting the UN Population Projections by @ellis2013nz http://dlvr.it/T6RgVG

I set out to see if it was possible to reproduce the UN’s 2022 Revision of World Population Prospects for a given country by cohort component projection from the fertility, mortality and immigration rates and population starting point published as part... Continue reading: Reproducing and adapting the UN Population Projections by @ellis2013nz http://dlvr.it/T6RCRN

The post Compare numeric vectors in R appeared first on Data Science Tutorials Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials. Compare numeric vectors in R, we explore the usage of the ‘near’ function from the ‘dplyr’ package in R programming. The article ... Continue reading: Compare numeric vectors in R http://dlvr.it/T6RCLr

ShinyConf 2024 was a resounding success! We brought together the vibrant R/Shiny community for three days of insightful sessions, engaging workshops, and valuable networking opportunities. From seasoned developers to newcomers, the conference had something for everyone. Insightful Sessions and Memorable Speakers The sessions covered a wide range of topics, from ... Continue reading: Highlights from ShinyConf 2024 http://dlvr.it/T6RCGW

Introduction In the area of statistical modeling and Bayesian inference, Markov Chain Monte Carlo (MCMC) methods are indispensable tools for tackling complex problems. The new tidy_mcmc_sampling() function in the TidyDensity R package simplifie... Continue reading: Exploring Data with TidyDensity’s tidy_mcmc_sampling() http://dlvr.it/T6Q32c

Introduction Hello everyone! I’m excited to announce the release of our latest collaborative effort (R package), designed to make complex consumer price and inflation calculations a breeze: emWeightedCPI . Here I will Introduce you to what this package is about. What is emWeightedCPI? Our R package “emWeightedCPI” (hosted on github) ... Continue reading: Expenditure-Based and Multivariate Weighted Indices: An R Package to Calculate CPI and Inflation http://dlvr.it/T6NCtZ

Introduction Today, we’re diving into a useful new function from the TidyDensity R package: check_duplicate_rows(). This function is designed to efficiently identify duplicate rows within a data frame, providing a logical vector that flags each ... Continue reading: Introducing check_duplicate_rows() from TidyDensity http://dlvr.it/T6NCNr

Introduction In data analysis, especially when dealing with multiple samples or distributions, ensuring comparability and removing biases is crucial. One powerful technique for achieving this is quantile normalization. This method aligns the dis... Continue reading: Quantile Normalization in R with the {TidyDensity} Package http://dlvr.it/T6NC47

Introduction I’m thrilled to announce the release of TidyDensity version 1.4.0, packed with exciting features and improvements to elevate your data analysis experience in R. Let’s dive into what this latest update has to offer. New Features Q... Continue reading: Introducing TidyDensity Version 1.4.0: Enhancing Data Analysis in R http://dlvr.it/T6NBmB

Introduction The use of R programming in clinical trials has not always been the most popular and obvious in the past. Despite experiencing significant growth in recent years, the adoption of R programming in clinical trials is not as widespr... Continue reading: De-Mystifying R Programming in Clinical Trials http://dlvr.it/T6LHYK

Motivation One of the most common comments I hear is that logistic regression (also called Binomial regression) is some kind of “advanced magic”, “machine learning”, “artificial intelligence” or “big data”. This is not true. In this post, I will ... Continue reading: Logistic regression is not advanced ‘machine learning’ or ‘artificial intelligence’ http://dlvr.it/T6KGC7

Introduction Today, we’re diving into a useful new function from the TidyDensity R package: check_duplicate_rows(). This function is designed to efficiently identify duplicate rows within a data frame, providing a logical vector that flags each ... Continue reading: Introducing check_duplicate_rows() from TidyDensity http://dlvr.it/T6KFrY

The post How to add Axes to Plot in R appeared first on Data Science Tutorials Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials. How to add Axes to Plot in R, In the world of data visualization, creating visually appealing and informative ... Continue reading: How to add Axes to Plot in R http://dlvr.it/T6GN0N

What to get a feel for the kind of content will be available at R/Medicine 2024? We’re spotlighting the most engaging and educational sessions from past R Medicine Virtual Conferences.... The post R/Medicine is coming June 10-14, 2024 – See Top Five R Medicine Talks from Previous Years appeared first ... Continue reading: R/Medicine is coming June 10-14, 2024 – See Top Five R Medicine Talks from Previous Years http://dlvr.it/T6GMb7