المشاركات

عرض المشاركات من أكتوبر, 2022

Getting acquainted with Mastodon — Instances

Elon Musk has to buy Twitter after all. I took this as an opportunity to look at Mastodon at the weekend, a decentralised alternative. TL/DR: super! What I had to understand first was the concept of an “instance”. My first impression is that you can compare a Mastodon server ... Continue reading: Getting acquainted with Mastodon — Instances http://dlvr.it/Sc0kJp

How to deal with annoying medium sized data inside a Shiny app

This blog post is taken from a chapter of my ebook on building reproducible analytical pipelines, which you can read here If you want to follow along, you can start by downloading the data I use here. This is a smaller dataset made from the one yo... Continue reading: How to deal with annoying medium sized data inside a Shiny app http://dlvr.it/Sbz56s

A Linux Live USB as a statistical programming dev environment

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This blog post is divided in two parts: in the first part I’ll show you how to create a Linux Live USB with persistent storage that can be used as development environment, and in the second part I’ll show you the easiest way to set up RStudio and ... Continue reading: A Linux Live USB as a statistical programming dev environment http://dlvr.it/SbxCFy

September 2022: “Top 40” New CRAN Packages

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Two hundred and two new packages made it to CRAN in September. Here are my “Top 40” selections in fourteen categories: Computational Methods, Data, Genomics, Machine Learning, Mathematics, Medicine, Pharmacology, Psychology, Science, Social Science, Statistics, Time Series, Utilities, and Visualization. Computational Methods kimfilter v1.0.0: Provides an Rcpp implementation of the multivariate ... Continue reading: September 2022: “Top 40” New CRAN Packages http://dlvr.it/Sbv6nZ

Understanding ShinyApps

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Today, we’ll discover how you can use the power of R (and RStudio) to create, for instance, an interactive visualization with the ShinyApp framework. 💡 What is a ShinyApp? Shiny is a framework that allows you to create web applications - ShinyApp... Continue reading: Understanding ShinyApps http://dlvr.it/SbrGdH

The pheatmap function in R

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The post The pheatmap function in R appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. The pheatmap function in R, the pheatmap function gives you more control ov... Continue reading: The pheatmap function in R http://dlvr.it/Sbn8lp

New R/exams Version: Improved E-Learning Tools During a Pandemic

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Substantial new release of the R/exams package to CRAN with many new features and enhancements, especially for interfacing e-learning tools and learning management systems during the pandemic. Overview The new version... Continue reading: New R/exams Version: Improved E-Learning Tools During a Pandemic http://dlvr.it/Sbk5KK

Supply Chain Management Strategies with R and Shiny

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During the pandemic, the supply chain and its management strategy burst into the spotlight. Supply chain management (SCM) became a household topic as its disruptions began to directly impact people’s lives and the global economy. But the truth is, good supply chain strategies are the ones that are aligned ... Continue reading: Supply Chain Management Strategies with R and Shiny http://dlvr.it/Sbg0py

{pagedown} Page Size & Margins

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At Fathom Data we have been doing a lot of automated documentation and automated reporting. Although many of these documents are rendered to HTML, there’s an increasing demand for PDF documents. So we’ve had to raise out game in that department. The {pagedown} package has become invaluable. This ... Continue reading: {pagedown} Page Size & Margins http://dlvr.it/Sbbx1s

How to create Radar Plot in R-ggradar

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The post How to create Radar Plot in R-ggradar appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. How to create Radar Plot in R, The same-named function in the package requ... Continue reading: How to create Radar Plot in R-ggradar http://dlvr.it/SbYdhG

Bringing Back an R useR Group to Edmonton!

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The R Consortium recently spoke with Dr. Péter Sólymos, organizer of Edmonton R User Group-Yegrug, Edmonton, Canada, about how his interest in learning R came up, how he currently uses... The post Bringing Back an R useR Group to Edmonton! appeared first on R Consortium. Continue reading: Bringing Back an R useR Group to Edmonton! http://dlvr.it/SbWNwG

Become a Mentor for rOpenSci Champions!

rOpenSci is seeking mentors to support our inaugural cohort of rOpenSci Champions! The rOpenSci Champions Program is for people from historically and systematically excluded groups who are interested in contributing to rOpenSci and the broader ecosys... Continue reading: Become a Mentor for rOpenSci Champions! http://dlvr.it/SbWNkx

Using R in Inventory Management and Demand Forecasting

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Nicolas Nguyen works in the Supply Chain industry, in the area of Demand and Supply Planning, S&OP and Analytics, where he enjoys developing solutions using R and Shiny. Outside his job, he teaches data visualization in R at the Engineering School EIGSI and Business School Excelia in the city ... Continue reading: Using R in Inventory Management and Demand Forecasting http://dlvr.it/SbSMzH

xts_0.12.2 on CRAN

An updated version of xts is now on CRAN. This release is a big one, with lots of changes. Plotting functionality got a lot of attention. Another notable change is that merge.xts() now supports suffixes. Plus the obligatory bug fixes and refinements to... Continue reading: xts_0.12.2 on CRAN http://dlvr.it/SbP89k

Maintain or Co-Maintain an rOpenSci Package!

The rOpenSci suite of packages is mainly composed of packages contributed by the community through peer-review, but also includes some packages maintained by staff. Over time, the commitments and availability of the original developers of a package ca... Continue reading: Maintain or Co-Maintain an rOpenSci Package! http://dlvr.it/SbKrHG

Hillshade, colors and marginal plots with tidyterra (I)

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Using shadow effects on relief mappings is a very common technique, that allows to produce informative yet beautiful maps. Continue reading: Hillshade, colors and marginal plots with tidyterra (I) http://dlvr.it/SbKr4k

Tupper’s Self Referential Formula in R

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Abstract: We implement Tupper’s self-referencing formula in R. This has been done before by others, but the joy was to be able to learn how to do it yourself using the tidyverse. This work is licensed under a Creative Commons Attribution-ShareAli... Continue reading: Tupper’s Self Referential Formula in R http://dlvr.it/SbGZXT

Where does bigrquery store credential-tokens on a Mac?

This blogpost is mainly a reminder for myself where I can delete this information. But what’s all about? Recently I installed bigrquery and ran queries against Google’s BigQuery cloud-database before I had installed gcloud (and did the auth... Continue reading: Where does bigrquery store credential-tokens on a Mac? http://dlvr.it/SbCKVg

How to Replace Inf Values with NA in R

The post How to Replace Inf Values with NA in R appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. Replace Inf Values with NA in R, you can substitute NA values for Inf val... Continue reading: How to Replace Inf Values with NA in R http://dlvr.it/Sb8xtr

Inference on Adaptively Collected Data

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Abstract It is increasingly common for data to be collected adaptively, where experimental costs are reduced progressively by assigning promising treatments more frequently. However, adaptivity also poses great challenges on post-experiment inferen... Continue reading: Inference on Adaptively Collected Data http://dlvr.it/Sb6yBn

Classification modeling in R for profitable decisions workshop

Learn classification modeling to improve your decision-making for your business or use these skills for your research in our 2-part workshop! These workshops are a part of our workshops for Ukraine series, and all proceeds from these workshops go to support Ukraine. You can find more information about other workshops, ... Continue reading: Classification modeling in R for profitable decisions workshop http://dlvr.it/Sb3XcG

CRAN and the Isoband Incident – Is Your Project at Risk and How to Fix It

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The R community had a recent scare with the isoband package risking archival on CRAN. The reason why this incident made waves is that isoband is a ggplot2 dependency and when a package gets removed from CRAN all other packages that depend on it get removed as well (see CRAN ... Continue reading: CRAN and the Isoband Incident – Is Your Project at Risk and How to Fix It http://dlvr.it/Sb2F80

R @ AZ: Building a Community in the Pharmaceutical Industry

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This is a guest post from Guillaume Desachy, Statistical Science Director at AstraZeneca. Since March 2022, Guillaume has been leading a team of 15 collaborators focusing on building the community of R users at AstraZeneca, called R @ AZ. Get in touch... Continue reading: R @ AZ: Building a Community in the Pharmaceutical Industry http://dlvr.it/SZyxsh

Acing Virtual Events with Networking Sessions and Collaboration

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The R Consortium recently caught up with Alyssa Columbus of R-Ladies Irvine (also on MeetUp and Twitter) to discuss the group’s progress during the pandemic. Alyssa discussed the group’s efforts... The post Acing Virtual Events with Networking Sessions and Collaboration appeared first on R Consortium. Continue reading: Acing Virtual Events with Networking Sessions and Collaboration http://dlvr.it/SZvh68

Inference on Adaptively Collected Data

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Abstract It is increasingly common for data to be collected adaptively, where experimental costs are reduced progressively by assigning promising treatments more frequently. However, adaptivity also poses great challenges on post-experiment inferen... Continue reading: Inference on Adaptively Collected Data http://dlvr.it/SZvh0P

Simplifying Parts Of A Shiny App by Creating Functions

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Until now, the Shiny app we created has all the HTML in the UI. On top of that, we have repeated code that we can stick into a function to make the app smaller and to be able to test the functions we are creating. Here are Part 1 and Part 2 ... Continue reading: Simplifying Parts Of A Shiny App by Creating Functions http://dlvr.it/SZsgCG

Invest everyday, biweekly, or monthly?

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Biweekly did great overall, Better at TIPS, short-term bond, real estate, international; Monthly is second best with 3 out of 8. Good at small, mid, large caps If you want to automate your investment on index funds with a fixed amount every mont... Continue reading: Invest everyday, biweekly, or monthly? http://dlvr.it/SZqV13

Fantasy Football Weekly Cheat Sheet: Week 5 (2022)

Week 5 Cheat Sheet and Fantasy Football Projection Roundup now available. The post Fantasy Football Weekly Cheat Sheet: Week 5 (2022) appeared first on Fantasy Football Analytics. Continue reading: Fantasy Football Weekly Cheat Sheet: Week 5 (2022) http://dlvr.it/SZmVVs

Map any region in the world with R – Part I: The basic map

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Scope of this post When you prepare for a job interview one of the questions they always tell you to prepare is “What are you most proud of?”. Personally I’ve never been asked that question in a job interview but it kept me thinking. ... Continue reading: Map any region in the world with R – Part I: The basic map http://dlvr.it/SZkx8Z

Youth Bulge theory: Why there won’t be an Uprising in Russia

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Many wonder why there are so few protests in Russia over the brutal war against Ukraine. An answer could lie in the youth bulge theory which we will use again to explain the relative lethargy of the Russian populace, so read on! Since the beginning of the war against Ukraine ... Continue reading: Youth Bulge theory: Why there won’t be an Uprising in Russia http://dlvr.it/SZjwxH

Money, Money, Money: RConcillation

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Dr. Maria Prokofieva is a member of the R / Business working group which is promoting the use of R in accounting, auditing, and actuarial work. She is also a professor at the Victoria University Business School in Australia and works with C... Continue reading: Money, Money, Money: RConcillation http://dlvr.it/SZfrj4

Package dev with {fusen} & {attachment}: load all functions of a flat, manage qmd and auto-fill Remotes field

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You can read the original post in its original format on Rtask website by ThinkR here: Package dev with {fusen} & {attachment}: load all functions of a flat, manage qmd and auto-fill Remotes field One aim of our open-source packages at ThinkR is to make our development workflows easier. {attachment} and {... Continue reading: Package dev with {fusen} & {attachment}: load all functions of a flat, manage qmd and auto-fill Remotes field http://dlvr.it/SZbYjq

ggradar: radar plots with ggplot in R

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Businesses have tons of data. But 90% have no clue how to use it. Here’s what they are overlooking… Within-Group Analysis. Groups are important (think customer segments). But group-wise comparisons can be tricky. Thankfully an R package exists to hel... Continue reading: ggradar: radar plots with ggplot in R http://dlvr.it/SZXK4B

A Day in Life of an R/Shiny Developer

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At Appsilon we strive to be the global leaders in R Shiny. We develop some of the world’s most advanced Shiny dashboards and have a team of talented individuals. We asked one of them –  Alexandros Kouretsis, R/Shiny Developer about his career path and experiences within the R community.  ... Continue reading: A Day in Life of an R/Shiny Developer http://dlvr.it/SZVXnp

A Gentle Introduction to using Support Vector Machines for Classification

Support vector machines (SVM) are remarkable for the unification of geometric theory, elegant mathematics, theoretical guarantees with strong practical use cases. In this blog post, I demonstrate certain properties of SVM and how to use them with caret... Continue reading: A Gentle Introduction to using Support Vector Machines for Classification http://dlvr.it/SZSb9v

Algorithm Classifications in Machine Learning

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The post Algorithm Classifications in Machine Learning appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. Algorithm Classifications in Machine Learning, There is a vast array of algorithms available in the field of machine learning that can be ... Continue reading: Algorithm Classifications in Machine Learning http://dlvr.it/SZMQ6h

Recent challenges in model specification testing based on different data structures

Recent challenges in model specification testing based on different data structures Model specification testing is one of the essential methodological tasks in statistics. Recently, with the development of different data structures, envisioning con... Continue reading: Recent challenges in model specification testing based on different data structures http://dlvr.it/SZK2DS