R

I have been recently confronted to the issue of finding similarities among time-series and thoughabout using k-means to cluster them. To illustrate the method, I’ll be using data from thePenn World Tables, readily available in R (inside the {pwt9} package): library(tidyverse) library(lubridate) library(pwt9) library(brotools) First, of all, let’s only select the needed columns: pwt <- … Read moreCluster multiple time series using K-means

[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. Five ago I referenced the Seinfeld Streak used in … Read moreGitHub Streak: Round Six

[This article was first published on Jozef’s Rblog, 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. In the previous part of this series, we looked at writing R … Read moreUsing Spark from R for performance with arbitrary code – Part 3 – Using R to construct SQL queries and let Spark execute them

[This article was first published on woodpeckR, 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. Problem Especially in a project with many different scripts, it can be challenging … Read moreLoading packages efficiently

[This article was first published on R on notast, 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. We’ve covered various approaches in explaining model predictions globally. Today we … Read moreExplaining Predictions: Boosted Trees Post-hoc Analysis (Xgboost)

[This article was first published on R on msperlin, 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. The shiny version of GetDFPData is currently hosted in a private … Read moreHelp support GetDFPData

[This article was first published on Rstats on Julia Silge, 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 paper I worked on was just published in a … Read moreOpioid prescribing habits in Texas

[This article was first published on woodpeckR, 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. Problem The ifelse() function only allows for one “if” statement, two cases. You … Read moreif ifelse() had more if’s

What is it? The gtrendsR package is an R package that can be used to programmatically gather and display Google trend information. Lately, I seem to be finding a lot of fun use cases for it, so I figured I would share the joy in my #FunDataFriday series! Why is it awesome? It’s an awesome … Read more#FunDataFriday – gTrendsR

[This article was first published on R – William Doane, 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. The goal of issuer is to provide a simple issue … Read moreissuer: Local issue tracking, no net required

From one representative barrel of malt extract they had taken a lot of samples. happen if they drew and averaged multiple samples. By simulating these draws from one barrel they generalized this pattern towhat would happen if they sampled from the all of the barrels. And that is what I will show in R code. … Read moreGosset part 2: small sample statistics

[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. The General Social Survey, or GSS, is one of the cornerstones … Read moreBack in the GSSR

[This article was first published on R – Fantasy Football Analytics, 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. ShareTweet The post Gold-Mining Week 6 (2019) appeared first … Read moreGold-Mining Week 6 (2019)

[This article was first published on FOSS Trading, 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 pushed an updated microbenchmark to CRAN a couple weeks ago. There were … Read moremicrobenchmark_1.4-7 on CRAN

[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. Another month, another Armadillo upstream release! Hence a new … Read moreRcppArmadillo 0.9.800.1.0

[This article was first published on poissonisfish, 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. What can you tell from over half a million tweets reacting to the … Read moreTwitter data analysis in R

[This article was first published on R Psychologist – 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. Mediation might be the ultimate example of how a method … Read moreMediation, confounding, and measurement error

You want to have a nice interactive visualization, e.g., in RShiny, where you can zoom in and out, subset the plot or even have hover and click effects? I guess your first shot would be plotly, and rightfully so. However, there is also a great alternative: rBokeh. Lately, I had a project where the functionality … Read morerBokeh – Tipps and Tricks with JavaScript and beyond!

Florianne Verkroost is a PhD candidate at Nuffield College at the University of Oxford. With a passion for data science and a background in mathematics and econometrics. She applies her interdisciplinary knowledge to computationally address societal problems of inequality. In this post, I will show you how to create interactive world maps and how to … Read moreBuilding Interactive World Maps in Shiny

If you have an R package on CRAN, you probably know about CRAN checks. Each package on CRAN, that is not archived on CRAN, has a checks page, like this one for ropenaq:https://cloud.r-project.org/web/checks/check_results_ropenaq.html The table above is results of running R CMD CHECK on the package on a combination of different operating systems, R versions … Read morecran checks API: an update

[This article was first published on petermeissner, 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. This blog post covers the major release of the {wikipediatrend} package – namely … Read moreWikipedia Page View Statistics Late 2007 and Beyond

[This article was first published on petermeissner, 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. This is a blog post announcing the brand new micro package {tabit} that … Read moreSimple Tabulations Made Simple

[This article was first published on R – Modern Data, 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. Note: This guide is intended for use with version 3.3 … Read morePart II: Deploying a Dash Application to Operationalize Machine Learning Models

[This article was first published on R – Lynch Lab, 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. MCMCvis version 0.13.1 is now on CRAN, complete with new … Read more`MCMCvis` 0.13.1 – HPD intervals, multimodel visualization, and more!

As a self trained, informal, fly by the seat of my pants programming, I am hardly the “best” person to give advice about teaching other how to program. I have no formal background in computer science and have never had anyone teach me to program, it’s just been something that I’ve played around in by … Read moreProgramming for the rest of us: Introducing a new R package to help solve problems

TL;DR Two methods for keeping your Shiny app organized while avoiding hardcoding. Softcoding Constants in a Shiny App They can be found everywhere. Text on buttons, urls to be linked, some numeric thresholds, a font to be used on ggplot, technical IDs to business names mapping, column names from datasets… We are all (at least … Read moreSuper Solutions for Shiny Architecture 3/5: Softcoding Constants in the App

The two most disruptive political events of the last few years are undoubtedly the Brexit referendum to leave the European Union and the election of Donald Trump. Both are commonly associated with the political consulting firm Cambridge Analytica and a technique known as Microtargeting. If you want to understand the data science behind the Cambridge … Read moreCambridge Analytica: Microtargeting or How to catch voters with the LASSO

Reshaping data from long to wide format, or wide to long format, is a common task in data science. Until recently, the best functions for performing this task in R were the gather and spread functions from the tidyr package. However, these functions had limitations, such as only being able to reshape one variable at … Read moreData Pivoting with tidyr

As announced in February, we now have an online book containing all things related to rOpenSci software review. Our goal is to update it approximately quarterly – it’s time to present the third version. You can read the changelog or this blog post to find out what’s new in our dev guide 0.3.0! Updates to … Read morerOpenSci Dev Guide 0.3.0: Updates

To plot multiple figures on a single canvas in base R, we can change the graphical parameter mfrow. For instance, the code below tells R that subsequent figures will by drawn in a 2-by-3 array: par(mfrow = c(2, 3)) If we then run this next block of code, we will get the image below: set.seed(10) … Read moreUse mfcol to have plots drawn by column

[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. This article comes from Joon Im, a student in Business Science University. Joon … Read moreWeb Scraping Product Data in R with rvest and purrr

Category Tags With the BMuCaret Shiny app post you can perform Caret-models comparison and find the best one, which achieves the best performance for a given data set. But isn’t it true that “All models are wrong”? By conducting comparison of predictive models (e.g. by using my tool BMuCaret) the goal of this experience is … Read moreModel Explanation with BMuCaret Shiny Application using the IML and DALEX Packages

There are some things that are great about the tidyverse family of R packages and the style they encourage. There are also a few gotchas. Here’s a reminder to myself about this phenomenon: tidyverse-style data frames (”tibbles”) do not simplify to vectors upon extracting a single column with hard bracket indexing. Because some packages rely … Read moreUsing R: When weird errors occur in packages that used to work, check that you’re not feeding them a tibble

[This article was first published on R – Win-Vector Blog, 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. Nina Zumel finished new documentation on how vtreat‘s cross validation … Read morevtreat Cross Validation

Some time ago I developed a little project that collects Aussie politicians tweets and present several visualizations. It’s available at https://rserv.levashov.biz/shiny/rstudio/ That time I has quite generous credits from AWS, so haven’t worried too much about costs. Unfortunately credits are about to expire, so I had to optimize the tech stack a bit to reduce … Read moreUpdated AUPolitics project to work with S3 instead of DB

Estimating the carbon cost of psycholinguistics conferences Shravan Vasishth 10/5/2019 Note: If I have made some calculation error, please point it out and I will fix it. At the University of Potsdam we are discussing how to reduce our carbon footprint in science-related work. One thought I had was that we could reduce our carbon … Read moreEstimating the carbon cost of psycholinguistics conferences

Intro Maximum likelihood estimation is a very useful technique to fit a model to data used a lot ineconometrics and other sciences, but seems, at least to my knowledge, to not be so well known bymachine learning practitioners (but I may be wrong about that). Other useful techniques to confront models to dataused in econometrics … Read moreSplit-apply-combine for Maximum Likelihood Estimation of a linear model

[This article was first published on Pachá, 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. At the end of the post there is a promotional link for free … Read moreA full RStudio Server setup for Data Science in 5 minutes

I’m after an exhausting yet exciting weekend with the WhyR? conference. That was the third edition, this year held in Warsaw, and it is nice to see how it grows each year. The Appsilon Data Science team really appreciates the initiative and the professionalism of organisation, thus we decided to be sponsors and prepare two … Read moreWhy R? Warsaw 2019 Recap

Data on successes and failures can be summarized and analyzed as counted proportions via the binomial distribution or as long format 0/1 binary data. I most often see summarized data when there are multiple trials done within a study unit; for example, when tallying up the number of dead trees out of the total number … Read moreExpanding binomial counts to binary 0/1 with purrr::pmap()

When developing a new R project, I usually want to quickly get some examples running. This means in early stages, I don’t spend much time to consistently name my functions or variables. Correspondingly, there is usually a later phase, before making the project public, in which I change a lot of function names in order … Read moreRStudio Addin: Replace in Files

[This article was first published on R – Fronkonstin, 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. Y otra vez me arranco despacito, al sentir que nada necesito … Read moreColonizing Franky

[This article was first published on R – Fantasy Football Analytics, 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. ShareTweet The post Gold-Mining Week 5 (2019) appeared first … Read moreGold-Mining Week 5 (2019)

In real world forecasting task, we don’t have luxury of actuals in hand for better model selection, in such realistic situations, forecast stability can guide us to some extent. Forecast Stability in simple terms, is all about how forecasts behave versus forecasts, we can measure it with simple coefficient of variation. This measure also helps … Read moreForecast Stability Guidance for Model Selection

[This article was first published on Emma 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. Date: Tuesday, 7th January, 2020, 10:30-15:30 Location: University of York, UK Forwards … Read moreR Forwards Workshop: Package Development for women and other underrepresented groups