Coronavirus data analysis with R, tidyverse and ggplot2

Coronavirus data analysis – an analysis of data around the Novel Coronavirus (COVID-19) with R, tidyverse and ggplot2. Download full analysis reports at links below. Coronavirus data analysis – world widehttp://www.rdatamining.com/docs/Coronavirus-data-analysis-world.pdf Coronavirus data analysis – Chinahttp://www.rdatamining.com/docs/Coronavirus-data-analysis-china.pdf Related If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, … Read more Coronavirus data analysis with R, tidyverse and ggplot2

!ABC%in%Grenoble

[This article was first published on R – Xi’an’s Og, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Most regrettably, the incoming ABC in Grenoble, planned on 19-20 … Read more !ABC%in%Grenoble

Mapping access to services to estimate community resilience – Edina geoforum

[This article was first published on R – scottishsnow, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. I gave a talk last week at the Edina GeoForum. Edina … Read more Mapping access to services to estimate community resilience – Edina geoforum

R Shiny vs Tableau (3 Business Application Examples)

[This article was first published on business-science.io, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Shiny, a web framework that is written in R, often gets lumped into … Read more R Shiny vs Tableau (3 Business Application Examples)

All you need to know to analyse a survey with MCA …

[This article was first published on François Husson, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. All you need to do with MCA to analyse a survey is … Read more All you need to know to analyse a survey with MCA …

poorman: Replicating dplyr’s Join and Filter Join Functions with base R

In my last post I discussed performing split-apply-combine operations on R data.frames and how this functionality was used within poorman – a base R replica of dplyr. In this post I’d like to talk about replicating dplyr’s join and filter join functionality, again using nothing but base. First of all, let’s set up some data … Read more poorman: Replicating dplyr’s Join and Filter Join Functions with base R

isEven without modulo

You may have seen the memes going around about fun ways to program thestraightforward function isEven() which returns TRUE if the input is even,and FALSE otherwise. I had a play with this and it turned into enough for ablog post, and a nice walk through some features of R. The ‘traditional’ way to check if … Read more isEven without modulo

How to perform a one sample t-test by hand and in R: test on one mean

[This article was first published on R on Stats and R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Photo by Helloquence After having written an article on … Read more How to perform a one sample t-test by hand and in R: test on one mean

RcppAnnoy 0.0.16

[This article was first published on Thinking inside the box , and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. A new release 0.0.16 of RcppAnnoy is available via … Read more RcppAnnoy 0.0.16

Micromorts – how much risk of death would you accept?

[This article was first published on R [english] – NC233, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. tl;dr – A 1% death risk is deceptively high – Micromorts (1/10000 … Read more Micromorts – how much risk of death would you accept?

An Experiment Assignment Method All Data Scientists Should Know

Maximize precision through optimal stratified random assignment https://pixabay.com/photos/vaccine-chemist-syringe-stopwatch-4892059/ by Dan VanLunen Randomized experiments are the gold standard for causal inference: if you want to get an unbiased (the average value of your estimation method is the true value) estimate of an effect of a treatment, a randomized experiment is the best way to do so. … Read more An Experiment Assignment Method All Data Scientists Should Know

Spanish Flu

[This article was first published on R on kieranhealy.org, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. I was teaching some dplyr and ggplot today. Because Coronavirus is … Read more Spanish Flu

RK’s Ford vs Ferrari Revisited

A couple of weeks back Roger Koenker reminded me about my post comparing quantreg vs. Rmosek. In Angrist’s application, Rmosek was faster than the traditional Barrondale and Roberts. However, Roger was curious about how it would compare to the interior point algorithms implemented using FORTRAN in quantreg. Here are his results (reproduced from RK’s blog … Read more RK’s Ford vs Ferrari Revisited

Predicting the video game hype train – Playing around with Naïve Bayesian Learning

[This article was first published on Rcrastinate, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. tl;dr Using a Naïve Bayesian classifier and a dataset of 1515 video game … Read more Predicting the video game hype train – Playing around with Naïve Bayesian Learning

R notebooks for nnetsauce

English version / Version en français nnetsauce is a general purpose tool for Statistical/Machine Learning, in which pattern recognition is reliant on Quasi-Randomized networks. Current implementations are Python and R, and a specific RSS feed related to it can be found through this link. This RSS feed will help you to stay up-to-date with everything … Read more R notebooks for nnetsauce

Auto Encoders for Anomaly Detection in Predictive Maintenance

[This article was first published on R – Hi! I am Nagdev, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Autoencoders is an unsupervised version of neural network … Read more Auto Encoders for Anomaly Detection in Predictive Maintenance

A shiny quiz app about the Russian influence campaign before the 2016 US elections

Based on Robert S. Mueller’s investigations about foreign involvement in the 2016 US presidential elections US Congress created this website with the title “Exposing Russia’s Effort to Sow Discord Online: The Internet Research Agency and Advertisements”.It refers to the Internet Research Agency (IRA) as ‘the notorious Russian “troll” farm’ and cites from the Mueller report … Read more A shiny quiz app about the Russian influence campaign before the 2016 US elections

How Shiny and YUNA complement each other

In addition to a structured preparation and organization of data and analysis results, flexibility and dynamics are extremely important in the field of data science. In order to gain insights from data, they often have to be explored first. Ideally, the barrier to visualizing and exploring data is relatively low for the data scientist. Data … Read more How Shiny and YUNA complement each other

COVID-19 epidemiology with R

Tim Churches is a Senior Research Fellow at the UNSW Medicine South Western Sydney Clinical School at Liverpool Hospital, and a health data scientist at the Ingham Institute for Applied Medical Research, also located at Liverpool, Sydney. His background is in general medicine, general practice medicine, occupational health, public health practice, particularly population health surveillance, … Read more COVID-19 epidemiology with R

{catchpole} Redux and Hashing Files & Websites with {ssdeepr}

[This article was first published on R – rud.is, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Über Tuesday has come and almost gone (some state results will … Read more {catchpole} Redux and Hashing Files & Websites with {ssdeepr}

Nice tables in R

I used to think that making nice table in R is not worth the effort. However, after changing my mind for the billionth time on relatively large tables for a paper and do not wanting to reformat them again from scratch, I gave a try to the formattable package, and I liked it very much. … Read more Nice tables in R

test

[This article was first published on geocacheR, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. test Related If you got this far, why not subscribe for updates from … Read more test

All you need to know on Correspondence Analysis …

[This article was first published on François Husson, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Correspondence Analysis – CA – is an exploratory multivariate method for exploring … Read more All you need to know on Correspondence Analysis …

tidyquant v1.0.0: Pivot Tables, VLOOKUPs in R

[This article was first published on business-science.io, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. I’m pleased to announce the release of tidyquant version 1.0.0 that includes Excel … Read more tidyquant v1.0.0: Pivot Tables, VLOOKUPs in R

Community Call – Maintaining an R Package

For this Community Call, we’re trying something different. We’ll start with a short talk by Julia Silge, then spend most of the time on Q & A with four panelists – Elin Waring, Erin Grand, Leonardo Collado-Torres, and Scott Chamberlain – moderated by Julia. Our panelists bring a wide range of perspectives so there’s something … Read more Community Call – Maintaining an R Package

R Consortium Welcomes New Member ThinkR, R Language and Data Science Engineering Company

[This article was first published on R Consortium, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Services include R consulting, development, and training; contributes to multiple R open … Read more R Consortium Welcomes New Member ThinkR, R Language and Data Science Engineering Company

registration open for NIMBLE short course, June 3-4, 2020 at UC Berkeley

[This article was first published on R – NIMBLE, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Registration is now open for a two-day training workshop on NIMBLE, … Read more registration open for NIMBLE short course, June 3-4, 2020 at UC Berkeley

The 9 concepts and formulas in probability that every data scientist should know

[This article was first published on R on Stats and R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Photo by Josh Appel Probability is the likelihood of … Read more The 9 concepts and formulas in probability that every data scientist should know

Comparing Machine Learning Algorithms for Predicting Clothing Classes: Part 2

[This article was first published on R Views, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Florianne Verkroost is a Ph.D. candidate at Nuffield College at the University of … Read more Comparing Machine Learning Algorithms for Predicting Clothing Classes: Part 2

Alternatives to reporting a p-value: the case of a contingency table

[This article was first published on ouR data generation, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. I frequently find myself in discussions with collaborators about the merits … Read more Alternatives to reporting a p-value: the case of a contingency table

Displaying time series with R

The most frequent visualization method of a time series uses thehorizontal axis to depict the time index. This section illustratestwo variants of this approach to display multivariate time series:multiple time series with different scales, and variables with thesame scale. Time graph of variables with different scales There is a variety of scientific research interested in … Read more Displaying time series with R

Trend Forecasting Models and Seasonality with Time Series

[This article was first published on R-posts.com, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Gasoline prices always is an issue in Turkey; because Turkish people love to … Read more Trend Forecasting Models and Seasonality with Time Series

Celebration2020 – A great get together to celebrate 20 years of R-1.0.0

Last week (Feb 28th – Feb 29th) the celebration of 20 years R 1.0.0 took place in Copenhagen, Denmark. It turned out to be a fun conference. People told lots of anecdotes from the earlier days of R. Peter Dalgaard brought with him the very first CD with R-1.0.0. First CD with R-1.0.0 and the … Read more Celebration2020 – A great get together to celebrate 20 years of R-1.0.0

RcppAnnoy 0.0.15

[This article was first published on Thinking inside the box , and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. A few days ago, a new release 0.0.15 of … Read more RcppAnnoy 0.0.15

Make WSJ-esque Über Tuesday Democrat Delegate Cartograms in R with {catchpole}

[This article was first published on R – rud.is, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. For folks who are smart enough not to go near Twitter, … Read more Make WSJ-esque Über Tuesday Democrat Delegate Cartograms in R with {catchpole}

Analyzing Relational Contracts with R: Part 2

This post continues my first post on game theoretic analysis with the package RelationalContacts in R. Here we look at more complex infinite horizon games with endogenous states. I also illustrate how one can explicitly combine relational contracting and hold-up concerns. The following code specifies a game with 3 states: library(RelationalContracts) g = rel_game(“Mutual Gift … Read more Analyzing Relational Contracts with R: Part 2

tsmp v0.4.8 release – Introducing the Matrix Profile API

[This article was first published on R-posts.com, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. A new tool for painlessly analyzing your time series We’re surrounded by time-series … Read more tsmp v0.4.8 release – Introducing the Matrix Profile API