October, 2020 | R-bloggers

Bayesian Statistics using R, Python, and Stan

October 20, 2020 | Paul van der Laken

For a year now, this course on Bayesian statistics has been on my to-do list. So without further ado, I decided to share it with you already. Richard McElreath is an evolutionary ecologist who is famous in the stats community for his work on Bayesian statistics. At the Max Planck ...

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NHS-R Book Club

October 20, 2020 | Nujcharee Haswell

Nujcharee Haswell Data Scientist Apprentice, North Yorkshire County Council “Good friends, good books, and a sleepy conscience; this is a […] The post NHS-R Book Club appeared first on NHS-R Community.

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“You Are Here”: Understanding How GPS Works

October 20, 2020 | Learning Machines

Last week, I showed you a method of how to find the fastest path from A to B: Finding the shortest Path with Dijkstra’s Agorithm. To make use of that, we need a method to determine our position at any point in time. For that matter, many devices use ... [Read more...]

Little useless-useful R function – DataFrame Maker

October 20, 2020 | tomaztsql

Series of useless R functions continues. This time writing long code to generate random data.frame.Read more ›

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Why you should use vapply in R

October 19, 2020 | Andrew Treadway

In this post we’ll cover the vapply function in R. vapply is generally lesser known than the more popular sapply, lapply, and apply functions. However, it is very useful when you know what data type you’re expecting to apply a function to as it helps to prevent silent ...

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Using Space Ranger at JHPCE

October 19, 2020 | rstats | LIBD rstats club

By Nick Eagles As part of recent LIBD work with spatial gene expression, I recently was recommended the tool Space Ranger, which provides software pipelines walking Visium spatial RNA-seq samples through the steps we ultimately need to explore gene expression coupled with spatial information. In this blog post, I’ll ... [Read more...]

Linear mixed model (Multilevel model)

October 19, 2020 | Analysis on StatsNotebook - Simple. Powerful. Reproducible.

The tutorial is based on R and StatsNotebook, a graphical interface for R. Data with multilevel (hierarchical) structure are common in many area of research. In our tutorial on moderation analysis, we examine the impact of increasing alcohol tax in Que...

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New International Swimming League Season – New Version(s) of SwimmeR

October 19, 2020 | Welcome on Swimming + Data Science

Welcome back to Swimming + Data Science friends. Last week something exciting happened - two things actually! First, the International Swimming League kicked off its 2020 season in Budapest. Second, and directly related, I released version 0.5.0 of SwimmeR to CRAN with functions to read ISL results from the inaugural 2019 season and from ...

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Capture message, warnings and errors from a R function

October 19, 2020 | R | Bangyou Zheng

During development the web platform PhenoCopter to process images captured by UAV, I need to capture all logs (i.e. message, warning and error) of R scripts for data processing, and then store into the database which are rendered by web interface a... [Read more...]

Understanding COVID19 in Connecticut. It takes a town

October 19, 2020 | Posts on R Lover ! a programmer

Well, it has been way too long since I posted something. As with most of you life during the pandemic has been interesting to say the least. I’ve been working hard (to include trying to find a new job), practicing good hygiene, socially distancing...

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New International Swimming League Season – New Version(s) of SwimmeR

October 19, 2020 | Swimming + Data Science

Welcome back to Swimming + Data Science friends. Last week something exciting happened - two things actually! First, the International Swimming League kicked off its 2020 season in Budapest. Second, and directly related, I released version 0.5.0 of SwimmeR to CRAN with functions to read ISL results from the inaugural 2019 season and from ...

[Read more...]

The Good, the Bad and the Ugly: how (not) to visualize data

October 19, 2020 | Dr. Shirin Elsinghorst

Below you’ll find the complete code used to create the ggplot2 graphs in my talk The Good, the Bad and the Ugly: how (not) to visualize data at this year’s data2day conference. You can find the German slides here: You can also find a German blog article ...

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Searching medRxiv and bioRxiv Preprint Data

October 19, 2020 | rOpenSci - open tools for open science

Background & motivation medRxiv, as the preprint repository for papers in the medical, clinical, and related health sciences,1 has become a central source of new studies related to the COVID-19 pandemic. As a result, more and more researchers have begun to include medRxiv in the list of bibliographic databases they search ...

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Reproduce economic indicators from ‘The Economist’

October 19, 2020 | Thomas Brand

Economic data (% change on year ago) Gross domestic product Industrial production Consumer prices Unemployment rate, % latest quarter* 2020† 2021† latest latest 2020† latest United States -2.9 Q3 +33.1 -4.3 +3.1 -5.3 Oct +1.2 Oct +1.5 +6.9 Oct China +0.1 Q3 +0.3 +1.9 +8.2 +5.4 Nov§ +1.7 Sep +2.9 +4.2 Q3 Japan -5.9 Q3 +21.4 -5.3 +2.3 -10.0 Sep +0.2 Aug -0.1 +3.0 Sep Britain -9.6 Q3 +78.0 -9.8 +5.9 -6.3 Sep +0.9 Oct +0.8 +4.3 ... [Read more...]

Access the free economic database DBnomics with R

October 19, 2020 | Thomas Brand

DBnomics: the world’s economic database Explore all the economic data from different providers (national and international statistical institutes, central banks, etc.), for free, following the link db.nomics.world. You can also retrieve all...

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Reproduce economic indicators from ‘The Economist’

October 19, 2020 | Thomas Brand

Economic data (% change on year ago) Gross domestic product Industrial production Consumer prices Unemployment rate, % latest quarter* 2020† 2021† latest latest 2020† latest United States -9.0 Q2 -31.4 -4.3 +3.1 -7.7 Aug +1.3 Aug +1.5 +7.9 Sep China +0.0 Q2 +0.8 +1.9 +8.2 +5.4 Nov§ +2.4 Aug +2.9 +3.8 Q2 Japan -10.1 Q2 -28.1 -5.3 +2.3 -10.9 Aug +0.2 Aug -0.1 +3.0 Aug Britain -21.5 Q2 -58.7 -9.8 +5.9 ... [Read more...]

Access the free economic database DBnomics with R

October 19, 2020 | Thomas Brand

DBnomics: the world’s economic database Explore all the economic data from different providers (national and international statistical institutes, central banks, etc.), for free, following the link db.nomics.world. You can also retrieve all...

[Read more...]

Attributes in R

October 19, 2020 | kjytay

In R, objects are allowed to have attributes, which is a way for users to tag additional information to an R object. There are a few reasons why one might want to use attributes. One reason that I encountered recently … Continue reading → [Read more...]

A Step-By-Step Guide To Web Scraping With R

October 19, 2020 | Dario Radečić

Let’s develop a real-time web scraping application with R — way easier than with Python A good dataset is difficult to find. That’s expected, but nothing to fear about. Techniques like web scraping enable us to fetch data from anywhere at any time — if... [Read more...]

Web Scraping With R – Easier Than Python

October 19, 2020 | Dario Radečić

A good dataset is difficult to find. That’s expected, but nothing to fear about. Techniques like web scraping enable us to fetch data from anywhere at any time – if you know how. Today we’ll explore just how easy it is to scrape web data with R and do ...

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R-bloggers

R news and tutorials contributed by hundreds of R bloggers

October 2020

Bayesian Statistics using R, Python, and Stan

NHS-R Book Club

“You Are Here”: Understanding How GPS Works

Little useless-useful R function – DataFrame Maker

Why you should use vapply in R

Using Space Ranger at JHPCE

Linear mixed model (Multilevel model)

New International Swimming League Season – New Version(s) of SwimmeR

Capture message, warnings and errors from a R function

Understanding COVID19 in Connecticut. It takes a town

New International Swimming League Season – New Version(s) of SwimmeR

The Good, the Bad and the Ugly: how (not) to visualize data

Searching medRxiv and bioRxiv Preprint Data

Reproduce economic indicators from ‘The Economist’

Access the free economic database DBnomics with R

Reproduce economic indicators from ‘The Economist’

Access the free economic database DBnomics with R

Attributes in R

A Step-By-Step Guide To Web Scraping With R

Web Scraping With R – Easier Than Python

October 2020

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