الدوري الممتاز الهندي 2020

This post is part of a series of technotes about r-universe, a new umbrella project by rOpenSci under which we experiment with various ideas for improving publication and discovery of research software in R. As the project evolves, we will post updates to document features and technical details. For more ... Continue reading: Improved permanent URL schema for r-universe.dev http://dlvr.it/ShjZW0

Winter started a bit more than one month ago… but we have already experienced many snow storms… there is still a lot snow in gardens and in the streets, I was wondering if it was that unusual, but apparently not. Compared with last year, it is (for the first months ... Continue reading: Snow in Montréal (Canada) http://dlvr.it/Shh3RC

These recordings are part of a set of videos that are available from the free four-week online course Introduction to Bayesian Data Analysis, taught over the openhpi.de portal. Continue reading: Introduction to Bayesian Data Analysis: Video lectures now available on youtube http://dlvr.it/Shg9SB

I made some progress on the cgalMeshes package, that I introduced here. The new version is not on CRAN yet. In particular, one can know assign some properties to the meshes (the cgal... Continue reading: Update of the ‘cgalMeshes’ package http://dlvr.it/ShcBsB

Using the headliner package for data driven ggplot titles Continue reading: Making headlines http://dlvr.it/ShZBYm

Introduction A time series is a set of data points collected at regular intervals of time. Sometimes, the data points in a time series change over time in a predictable way. This is called a stationary time series. Other times, the data points c... Continue reading: ADF and Phillips-Perron Tests for Stationarity using lists http://dlvr.it/ShWT4C

Introduction In the most basic sense for time series, a series is stationary if the properties of the generating process (the process that generates the data) do not change over time, the process remains constant. This does not mean the data doe... Continue reading: Making Non Stationary Data Stationary http://dlvr.it/ShSbmB

wwi_viewer WWI VieweR Hi everyone ! Long time no see. I recently undertook to validate the capstone project of the Data Visualization specialization of the Johns Hopkins University on Coursera, with something that was probably a slight overkill f... Continue reading: WWI VieweR, A shiny app to visualize the battles of the first world war http://dlvr.it/ShPjKV

This article showcases solving an assumed business problem using optimization, with R as the tool to do so. Optimization problems come is various shapes and sizes and complexities. In this article the focus is on a simplified versio... Continue reading: Optimization in R – purchase optimization to minimize cost http://dlvr.it/ShLnpX

A few weeks ago I opened an account on Digital Ocean to start my own cloud server. Not long after that I took a workshop on Shiny and, although it was too technical with nothing new for me, I learn a couple of things unrelated to R. The speaker was ... Continue reading: Deploy your own Shiny app server with debian http://dlvr.it/ShHz95

I presented the ‘Reorient’ rotation in a previous post. I figured out three things: there’s an easy precise definition of this rotation, that I didn’t give; ... Continue reading: More on the ‘Reorient’ transformation http://dlvr.it/ShFxdW

Overview Traditionally the excitation noise of spatial and temporal models is Gaussian. Take, for instance, an AR1 (autoregressive of order 1) process, where the increments \(x_{i+1}-\rho x_i, \ \ |\rho| Continue reading: Fitting robust non-Gaussian models in Stan and R-INLA http://dlvr.it/ShCygB

Use the Strava API to map your outings with R using the {rStrava} package. Continue reading: Map your Strava activities http://dlvr.it/Sh9BTH

I was unable to install the sf package on a clean Ubuntu 20.04 setup, and the problem is attributed to incompatible software versions. My workaround, instead of installing the package from source, was to install a precompiled binary package, but tha... Continue reading: Install the sf package on Ubuntu 20.04 http://dlvr.it/Sh6Dlf

The post Top Reasons To Learn R in 2023 appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. Top Reasons To Learn R in 2023, R and Python are two of the best programming langu... Continue reading: Top Reasons To Learn R in 2023 http://dlvr.it/Sh3FGg

Nos agrada anunciar que, con el aporte de Chan Zuckerberg Initiative, NumFOCUS y R Consortium, estamos comenzando el proceso de traducir los materiales de rOpenSci sobre buenas prácticas de desarrollo de software, revisión de código y contribución a p... Continue reading: Agrandando nuestra comunidad con publicaciones multi-idioma http://dlvr.it/Sh3Dyl

This is a follow-up post. If you are interested in other posts of this series, please go to: https://www.statforbiology.com/tags/drcte/. All these posts exapand on a paper that we have recently published in the Journal ‘Weed Science’; please follow ... Continue reading: Fitting a hydro-thermal-time-model to seed germination data http://dlvr.it/Sh0gDH

The post Linear Interpolation in R-approx appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. Linear Interpolation in R, You will discover how to use the approx and approxfun... Continue reading: Linear Interpolation in R-approx http://dlvr.it/SgynG6

Learn how to combine both R and Python in the same project! Join our workshop on Python for R Users to learn more about Python & how to combine it with R which is a part of our workshops for Ukraine series.  Here’s some more info:  Title: Python for R ... Continue reading: Python for R users workshop http://dlvr.it/SgwyTW

Oggi mi sono imbattuto in un nuovo tweet di Fratelli d’Italia che sosteneva che il taglio delle accise del 2022 fosse andato a favore dei più ricchi. Premetto che, data la totale assenza di riferimenti a dati reali, è impossibile verificare questa informazione. Però è possibile fare un ragionamento diverso, e cioè. ... Continue reading: Chi subisce il caro-carburante? http://dlvr.it/SgwDpT

You expect me to read this long ass blog post? If you’re too busy to read this blog post, know that I respect your time. The table below summarizes this blog post: Need Solution I want to start a project and make it reproducible. {renv} and Docker There’s ... Continue reading: MRAN is getting shutdown – what else is there for reproducibility with R, or why reproducibility is on a continuum? http://dlvr.it/Sgtzn4

The post How to Become a Data Scientist in 2023 appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. You might be considering your options for training as a data scientist. T... Continue reading: How to Become a Data Scientist in 2023 http://dlvr.it/SgsPfl

We are excited to announce that, with the support of the Chan Zuckerberg Initiative, NumFOCUS, and the R Consortium, we have begun the process of translating rOpenSci’s materials on best practices for software development, code review, and contr... Continue reading: Expanding our Community through Multilingual Publishing http://dlvr.it/SgphTj

Dr. Gergely Daróczi is an active member of the R community, founder of the Budapest Users of R Network Group and organizer of the satRday and eRum conferences. Gergely shares... The post How a UseR! 2014 Experience Led to the Development of a 1,700-member R Community in Budapest appeared first ... Continue reading: How a UseR! 2014 Experience Led to the Development of a 1,700-member R Community in Budapest http://dlvr.it/SgnYqJ

SatRdays is returning to London this April! SatRdays are low-cost R conferences, hosted on Saturdays to enable those who usually cannot attend to take part. Thanks to CUSP London, SatRdays London ... Continue reading: SatRdays London 2023 http://dlvr.it/SglFj4

The post Top Data Science Skills- step by step guide appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. Top Data Science Skills In 30 days! Learn the craft by following the ... Continue reading: Top Data Science Skills- step by step guide http://dlvr.it/Sgkg70

Real-world data is often messy and full of missing values. As a result, data scientists spend the majority of their time cleaning and preparing the data, and have less time to focus on predictive modeling and machine learning. If there’s one thing all data preparation steps share, then it’... Continue reading: Imputation in R: Top 3 Ways for Imputing Missing Data http://dlvr.it/Sghbc6

On July 1 2023, the MRAN website and the CRAN snapshot archive hosted therein will be retired, Microsoft announced last week. One purpose of MRAN was to distribute Microsoft R Open, which was discontinued in 2021. MRAN has also served since 2014 as the repository of a daily archive of CRAN packages. Some R ... Continue reading: MRAN Time Machine will be retired on July 1 http://dlvr.it/Sgh4zf

While I am no expert in political economy, it seems intuitive that voters are happy if their representatives manage to provide federal money for local investment projects. But how large is the effect in terms of additional votes in future elections? I... Continue reading: RTutor: Public Infrastructure Spending and Voting Behaviour http://dlvr.it/Sgglfq

DataCamp is an online data learning platform for all levels. Whether you’ve never written a line in R, you’re working to become a Data Scientist / Analyst with R, or you simply want to bring forward your promotion and add in-demand skills to your resume—upskill today to put ... Continue reading: Fast-Track Your Next Move with R http://dlvr.it/SgdzcC

How to join this free online event with Will Landau, Eric Scott and Joel Nitta. The {targets} package is a pipeline tool for Statistics and data science in R. With {targets}, you can maintain a reproducible workflow without repeating yourself. {targets} learns how your pipeline fits together, skips costly runtime ... Continue reading: {targets} in Action http://dlvr.it/SgdgKM

The Broadberry et al GDP series has estimates of England’s real GDP and population from the year 1270 onwards. It’s available, along with a lot of other long-run data, from The Bank of England. Here’s an animation of the series. I som... Continue reading: Escaping the Malthusian Trap http://dlvr.it/SgZgRV

When you are working with large datasets performance comes to everyone’s mind. Especially when converting datasets from one data type to another. And choosing the right method can make a huge difference. So in this case, I will be creating…Read more › Continue reading: Performance comparison of converting list to data.frame with R language http://dlvr.it/SgYfWz

The rOpenSci community is supported by our Code of Conduct with a clear description of unacceptable behaviors, instructions on how to make a report, and information on how reports are handled. We, the Code of Conduct Committee, are responsible for rec... Continue reading: rOpenSci 2022 Code of Conduct Transparency Report http://dlvr.it/SgW9bQ

Do you know how long EDA (exploratory data analysis) used to take me? Not hours, not days… A full week! Listen, you don’t know how good you have it. With this new R package I’m about to show you (plus one BONUS hack), you’ll cut your EDA ... Continue reading: Cut your EDA time into 5 minutes with Exploratory DataXray Analysis (EDXA) http://dlvr.it/SgSd79

The shiny.benchmark package by Appsilon allows you to compare the performance of different versions of R Shiny applications. You can write instructions that will be executed and evaluated on different versions of your app and easily measure the performance differences. In today’s article, you’ll learn how to ... Continue reading: shiny.benchmark – How to Measure Performance Improvements in R Shiny Apps http://dlvr.it/SgPqYk

Quite often data processing or analysis needs bring us to write own functions. Sometimes these self-defined functions are only meaningful and useful within a certain workflow or even a certain script. But other self-written functions may be more gene... Continue reading: Easily re-using self-written functions: the power of gist + code snippet duo http://dlvr.it/SgLwTY

The post Top Data Science Applications You Should Know 2023 appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. Top Data Science Applications You Should Know 2023, Investigat... Continue reading: Top Data Science Applications You Should Know 2023 http://dlvr.it/SgJ2ct

It is New Year’s Day 2023 :sweat_smile:. Happy New Year!!! :fireworks: I am currently driving with my family coast-to-coast on a road trip through the United States, but for New Year’s Eve and New Year’s Day we stayed in one place. Taking advantage o... Continue reading: Having some fun with Stable Diffusion Inpainting in Python on New Year’s Day http://dlvr.it/SgGJm3

Here I share the format applied to tables presenting the results of frequentist models in Bernabeu (2022; the table for Bayesian models is covered in this other post). The sample table presents a mixed-effects model that was fitted using the R package lmerTest (Kuznetsova et al., 2022). The mixed effects were driven ... Continue reading: A table of results for frequentist mixed-effects models: Grouping variables and specifying random slopes http://dlvr.it/SgDzT4