الدوري الممتاز الهندي 2020

“We can only see a short distance ahead, but we can see plenty there that needs to be done.” ― Alan Turing AI virtual assistants have become indispensable tools for both personal and professional settings. While Siri and Alexa are household names, the latest advancements in AI-powered virtual assistants offer capabilities ... Continue reading: AI-Powered Virtual Assistants: Beyond Siri and Alexa http://dlvr.it/TBKcXm

Introduction Hello, fellow R useRs! Today, we’re going to discuss a fascinating topic that bridges the gap between VBA (Visual Basic for Applications) and R. We’ll explore how to get a list of all open workbooks in Excel using VBA and then call... Continue reading: How to List All Open Workbooks Using VBA and Call It from R http://dlvr.it/TBKcCZ

Introduction When fitting a nonlinear regression model in R with nls(), the first step is to select an appropriate regression model to fit the observed data, the second step is to find reasonable starting values for the model parameters in order to initialize the nonlinear least-squares (NLS) algorithm. In some ... Continue reading: Multistart nonlinear least squares fitting with {gslnls} http://dlvr.it/TBKc26

The post Split a Vector into Chunks in R appeared first on Data Science Tutorials Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials. Split a Vector into Chunks in R can be a useful technique for manipulating and analyzing data. In this article, ... Continue reading: Split a Vector into Chunks in R http://dlvr.it/TBJVVV

Introduction In data analysis and manipulation, handling text data is a common task. One of the essential operations you might need to perform is converting strings to lowercase. In R, this is easily done using the tolower() function. Let’s exp... Continue reading: Mastering String Conversion to Lowercase in R http://dlvr.it/TBJVFx

My new blog/newsletter ("Paired Ends") is now at blog.stephenturner.us. I'll be posting semi-regular updates and literature highlights in bioinformatics, computational biology, and data science, along with the occasional post on programming. Head ... Continue reading: Moving to blog.stephenturner.us (Paired Ends) http://dlvr.it/TBGqvD

Python package 'colorspace' with tools for manipulating and assessing colors and palettes is now available from PyPI, accompanied by a documentation web page and an arXiv paper. Citation Reto Stauffer, Achim Zeileis (2024). “... Continue reading: colorspace: A Python Toolbox for Colors and Palettes http://dlvr.it/TBGqZh

BlueSky Statistics is a free and open-source graphical user interface for the powerful R language. There is also a commercial “Pro” version that offers tech support, priority feature requests, and many powerful additional features. The Pro version has been beefed up considerably with the new features below. These features apply ... Continue reading: BlueSky Statistics Enhancements http://dlvr.it/TBGRhd

The post Mastering the table() Function in R appeared first on Data Science Tutorials Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials. Mastering the table() Function in R, The table() function in R is a powerful tool for creating frequency tables, allowing you ... Continue reading: Mastering the table() Function in R http://dlvr.it/TBFdTW

Join our workshop on Introduction to Bayesian Structural Equation Modeling in R, which is a part of our workshops for Ukraine series!  Here’s some more info:  Title: Introduction to Bayesian Structural Equation Modeling in R Date:  Thursday, August 29th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone) Speaker: Esteban Montenegro-Montenegro serves as ... Continue reading: Introduction to Bayesian Structural Equation Modeling in R workshop http://dlvr.it/TBCyyT

Introduction Stratified sampling is a technique used to ensure that different subgroups (strata) within a population are represented in a sample. This method is particularly useful when certain strata are underrepresented in a simple random sam... Continue reading: Stratified Sampling in R: A Practical Guide with Base R and dplyr http://dlvr.it/TBCybw

Introduction This blog is a new function, treatment_model that have been added to the Dyn4cast package. The function provides means for enhanced estimation of propensity score and treatments effects from randomized controlled designed experiments. Ob... Continue reading: Taking Treatment Effects Analysis and Visualisation to Higher Levels with R http://dlvr.it/TBCyM6

The post Mastering the map() Function in R appeared first on Data Science Tutorials Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials. Mastering the map() Function in R, available in the purrr package, is a powerful tool in R that enables you to ... Continue reading: Mastering the map() Function in R http://dlvr.it/TBCy1q

The post Mastering the tapply() Function in R appeared first on Data Science Tutorials Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials. Mastering the tapply() Function in R, The tapply() function in R is a powerful tool for applying a function to a ... Continue reading: Mastering the tapply() Function in R http://dlvr.it/TBBS9P

The post Best Data Visualization Books appeared first on Data Science Tutorials Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials. Best Data Visualization Books, “Unlock the Power of Storytelling with Data: Transform Your Visualizations into Compelling Narratives! In this insightful book, you’ll ... Continue reading: Best Data Visualization Books http://dlvr.it/TB9Z5b

Zhenguo Zhang's Blog /2024/07/26/r-set-temporary-folder-for-r-in-rstudio-server/ -In another post, I described how to install Rstudio server on Ubuntu. In this post, I will describe how to set temporary folders for R sessions connected to an Rstudio se... Continue reading: [R] Set temporary folder for R in Rstudio server http://dlvr.it/TB7v6g

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 t... Continue reading: Checking if a String Contains Multiple Substrings in R http://dlvr.it/TB71f6

The word “universe” can mean many different things. In modern-day entertainment, we are conditioned to think of it as related movies or media tied together by the tried-and-true formula of post-credits scenes and character crossovers. Speaking of entertainment, read more about how we helped a Fortune 500 movie studio with their ... Continue reading: The Power Of Transitioning To A ‘-Verse’ Approach In R Package Development http://dlvr.it/T9dG4z

GitHub recently previewed ‘Copilot Workspace’, which aims to use generative AI to assist software developers. Rather than just giving in-line suggestions, as GitHub copilot does, workspace allows users to map out and execute entire projects. We ... Continue reading: Some thoughts after a trial run of GitHub’s Copilot Workspace http://dlvr.it/T9dFmf

Puzzles no. 494–498PuzzlesAuthor: ExcelBIAll files (xlsx with puzzle and R with solution) for each and every puzzle are available on my Github. Enjoy.Puzzle #494Sometimes we are exploring new types of numbers, that although they are integers, they have... Continue reading: R Solution for Excel Puzzles http://dlvr.it/T9cw2c

This sample R code is an implementation one of possible solutions for generating timetable schedule. The proposed solution is based on methods of evolutionary computing, and it uses (1+1) evolutionary strategy and simulated hardening. The success of solution is estimated…Read more › Continue reading: Schedule generator with R http://dlvr.it/T9Y683

Ten years ago, Computational Actuarial Science with R was published. With Christophe Dutang, we created at the same time an R package, collecting datasets used in the book. It was mainly to give access to the datasets to reproduce the applications, since functions used in the different chapters were coming ... Continue reading: Some updates about the insurance datasets package (CASdataset) http://dlvr.it/T9Y5qk

The R Consortium recently spoke with Samrit Pramanik of the Kolkata R User Group about his experience starting a new R User Group in India. Samrit highlighted Kolkata’s rich history... The post Kolkata R User Group: A Rich History with Statistics  appeared first on R Consortium. Continue reading: Kolkata R User Group: A Rich History with Statistics  http://dlvr.it/T9X6VX

We’re excited to announce the release of Rhino 1.9, bringing with it some powerful new features for developers. This update focuses on enhancing your coding experience with new formatting tools for JavaScript and Sass, as well as cleaner integration of {bslib} and custom Sass for ultimate flexibility when styling your ... Continue reading: Rhino 1.9.0 Update On CRAN: New Formatting Tools And Cleaner {Bslib} Integration http://dlvr.it/T9WXpS

Hey there! In our fast-paced business world, clear and consistent communication is more crucial than ever. We all know how misunderstandings and ambiguities can throw a wrench into our plans, leading to inefficiencies and missed opportunities. That’s w... Continue reading: Unify: How to Eliminate Ambiguity and Achieve Consistent Business Communication http://dlvr.it/T9S5cr

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... Continue reading: Text Data Analysis in R: Understanding grep, grepl, sub and gsub http://dlvr.it/T9Rkls

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... Continue reading: R Solution for Excel Puzzles http://dlvr.it/T9QW5v

#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 ... Continue reading: PowerQuery Puzzle solved with R http://dlvr.it/T9NRBj

We are happy to announce the brand-new R Consortium Multilingual Working Group. This Working Group came about after discussions during the R Project Sprint 2023 and will oversee the implementation of multilingual documentation support in R and organise community translation efforts. Our first project is the (experimental) rhelpi18n package, which ... Continue reading: Multilingual Documentation in R Packages http://dlvr.it/T9NR1K

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 ... Continue reading: Time Series Forecasting In R: From Moving Averages To Seasonal ARIMA http://dlvr.it/T9MLz5

learningmachine v2.0.0: Machine Learning with explanations and uncertainty quantification Continue reading: learningmachine v2.0.0: Machine Learning with explanations and uncertainty quantification http://dlvr.it/T9LdhT

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 ... Continue reading: ShinyProxy 3.1.1: What’s New And How It Improves Scalability And Performance Of Your Shiny Applications http://dlvr.it/T9KG8d

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... Continue reading: Visualising NREL’s Annual Technology Baseline ("ATB") data for wind and solar energy using R http://dlvr.it/T9HjZQ

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’... Continue reading: Exploring Linear Models with R and Exporting to Excel http://dlvr.it/T9HGr7

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’... Continue reading: Quick dataViz techniques for nicer line charts with ggplot http://dlvr.it/T9HGbM

Introduction Purpose of the tutorial: To demonstrate a quick and straightforward implementation of time series clustering using the widyr package in R What is time series clustering?: Grouping time series data into clusters where data points i... Continue reading: Time Series Clustering in R http://dlvr.it/T9HGPt

Introduction Today, let’s dive into a nifty R package called taskscheduleR that can automate running your R scripts. Whether you need to execute a task every hour or just once a day, taskscheduleR has you covered. This package leverages the Win... Continue reading: Automate Your R Scripts with taskscheduleR http://dlvr.it/T9FWT9

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, ... Continue reading: Introducing Positron: A New, Yet Familiar IDE For R And Python http://dlvr.it/T9CJy2

We are continuing our post series on S3 object orientation and interoperability in R. We have previously discussed what makes a good S3 class and how to choose a good parent for it, as well as when to write or not write a custom method. We have ... Continue reading: Improving Ecosystem Interoperability Iteratively via Progressive Enhancement http://dlvr.it/T9CJjm

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’... Continue reading: Designing for Complexity: 5 Key Considerations in High-Fidelity Prototyping http://dlvr.it/T9BvHx

Shiny in Production is returning to the Catalyst, Newcastle upon Tyne, for its third instalment this October. We’ve expanded the itinerary this year, with four workshops to choose from as well as a day of talks, with speakers soon to be announced. Full details of the workshop are below, ... Continue reading: Shiny in Production 2024: Workshops http://dlvr.it/T99hmN

Have you ever sat through a meeting, staring at a slide filled with jargon and complex charts, and found yourself utterly lost? Or perhaps you’ve read a report that was so vague you had no idea what the key takeaways were. Miscommunication in business ... Continue reading: Say What You Mean: Mastering Clarity in Business Communication http://dlvr.it/T98bJb

Isabella Velasquez, co-organizer of R-Ladies Seattle, recently spoke with the R Consortium about her journey with R and the group’s recent activities. Isabella started as a beginner but has become... The post Diving into R with Isabella Velasquez: Perspectives from R-Ladies Seattle appeared first on R Consortium. Continue reading: Diving into R with Isabella Velasquez: Perspectives from R-Ladies Seattle http://dlvr.it/T97KzZ

Introduction In social sciences, variables of interest are often conceptualized as latent variables—hidden continuous variables measured through Likert scale questions, typically categorized as Strongly disagree, Disagree, Neutral, Agree, and Strongly agree. Researchers frequently aim to uncover these latent variables using various statistical techniques. Accurate modeling of survey data is ... Continue reading: Introducing latent2likert v1.2.1: Converting Latent Variables into Likert Scale Responses http://dlvr.it/T97KnS

We are excited to welcome Beatriz Milz and Margaret Siple to our team of Associate Editors for rOpenSci Software Peer Review. They join Laura DeCicco, Julia Gustavsen, Anna Krystalli, Mauro Lepore, Noam Ross, Maëlle Salmon, Emily Riederer, Adam Sparks... Continue reading: Announcing New Software Peer Review Editors: Beatriz Milz and Margaret Siple http://dlvr.it/T97KhH

Have you been looking for a more efficient way to create ADaM (Analysis Data Model) datasets for your clinical trial submissions? Look no further than Admiral, an open-source R package. In our latest Shiny Gathering, hosted in collaboration with Pharmaverse, featured Ben Straub, Principal Programmer at GSK and one of ... Continue reading: Recap: Exploring Clinical Submissions With Admiral: An R-Based ADaM Solution With Ben Straub http://dlvr.it/T95Qls

Introduction When working with large datasets in Excel, the ability to zoom in and out quickly can significantly enhance your productivity. If you often find yourself adjusting the zoom level manually, why not automate it with VBA? In this blog... Continue reading: Mastering Zoom Functionality in Excel with VBA http://dlvr.it/T957bS

Today I’m extremely happy because I’ve finally been able to fulfil a dream of mine. And yes, by the end of this blogpost you might be worried about me for having such a weird, niche and, frankly, dumb dream, but I swear I’m fine! My dream was ... Continue reading: A wrapper for the Climate Data Operators in R http://dlvr.it/T94VNS

Have you ever tried to create a line chart with ggplot only to find that the chart remains blank and a warning showing up that each group consists out of one observation? That’s a common struggle and I used to attempt a lot of trial and error to... Continue reading: How to avoid empty line charts http://dlvr.it/T94VB9

Introduction Welcome back, R Programmers! Today, we’ll explore a common task: extracting a substring after a specific character in R. Whether you’re cleaning data or transforming strings, this skill is quite handy. We’ll look at three approache... Continue reading: How to Extract String After a Specific Character in R http://dlvr.it/T931Dl

The most traditional approach for analyzing binary outcome data is logistic regression, where the estimated parameters are interpreted as log odds ratios or, if exponentiated, as odds ratios (ORs). No one other than statisticians (and maybe not even statisticians) finds the odds ratio to be a very intuitive statistic, and ... Continue reading: Generating binary data by specifying the relative risk, with simulations http://dlvr.it/T93135

Join our workshop on Structural and Predictive Macro Analyses using the R Package bsvars, which is a part of our workshops for Ukraine series!  Here’s some more info:  Title: Structural and Predictive Macro Analyses using the R Package bsvars Date: Thursday, August 1st, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)  Speaker: ... Continue reading: Structural and Predictive Macro Analyses using the R Package bsvars workshop http://dlvr.it/T92L9M

Staying ahead of the curve in machine learning often means adapting to unexpected changes. Recently, our team at Appsilon encountered a situation that highlights the importance of constant monitoring and flexible solutions when working with cloud-based Large Language Models (LLMs). Interested in a demo of our Text2Graph application? Reach ... Continue reading: The Hidden Challenges Of Working With Cloud Large Language Models: A Text2Graph Case Study http://dlvr.it/T91nZk

Puzzles no. 484–488PuzzlesAuthor: ExcelBIAll files (xlsx with puzzle and R with solution) for each and every puzzle are available on my Github. Enjoy.Puzzle #484I think we all know what Pythageorean Theorem is. Or at least I hope so… And today we need ... Continue reading: R Solution for Excel Puzzles http://dlvr.it/T91Q00