[This article was first published on YoungStatS, 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 an updated version of a blog post on RIKEN AIP Approximate … Read more
This is part 3 of a series on “Handling Categorical Data in R where we are learning to read, store, summarize, visualize & manipulate categorical data..” In part 1 and part 2 of this series, we understood how R stores categorical data using factor and got an overview of tables in R while learning to … Read more
[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. Salt Lake City R User Group noticed that their users were missing … Read more
[This article was first published on Methods – finnstats, 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 match Function in R with examples appeared first … Read more
This is part 2 of a series on “Handling Categorical Data in R where we are learning to read, store, summarize, visualize & manipulate categorical data..” In part 1 of this series, we understood what categorical data is, how R stores it using factor and got an overview of the case study we will be … Read more
[This article was first published on R – datawookie, 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. No two email clients are equal. Nowhere is this more true … Read more
Managing database connections can be messy at times. It’s always easier to read and write to local CSV files. That doesn’t mean it’s the right thing to do, as most production environments have data stored in one or multiple databases. As a data professional, you must know how to connect to different databases through different … Read more
[This article was first published on Methods – finnstats, 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 post Index Names and lapply Function in R appeared first … Read more
Do you have an account on the rOpenSci forum? As underlined in our contributing guide, our forum is where we encourage Q&A and exploration of ideas on a various range of topics. Compared to our Slack semi-open workspace, the forum is entirely open and much easier to search, so a great place to gather some … Read more
[This article was first published on Sport Data Science, 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. Hello and happy new year. Hope you have a nice cup … Read more
[This article was first published on Methods – finnstats, 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 post How to use the dollar sign ($) in R … Read more
[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. As I was waiting for my boat on a French … Read more
[This article was first published on r – bensstats, 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. With my recent breakthrough in figuring out how OOP works in … Read more
With over 250 books (and counting) in the Big Book of R collection, you could easily overlook a lot of useful ones. Sometimes you see a book and think “Hey that’ll be pretty useful if I ever work on [subject]” but when that time comes you’ve completely forgotten about it. It could also happen that … Read more
One day I realized that I finally really understood what “statistical significance” means (p .01). I had probably heard the term hundreds of times by then. If you are still struggling with the concept, I hope it doesn’t take you this long and perhaps this post can be of help. The article will be quite … Read more
Like many people, I’ve gotten sucked into wordle. For those unfamiliar with the game, you are tasked with identifying a five-letter word. You input a guess (which must be a five-letter word) and are told whether each letter in your guess is: not in the word (black square) in the word but in a different … Read more
[This article was first published on R’tichoke, 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. My first post in 2022! A very happy new year to anyone reading … Read more
[This article was first published on JottR on 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. Happy New Year! I made some updates to the future framework … Read more
[This article was first published on R – TomazTsql, 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. Playing a simple guessing game with R. It’s called Mastermind game! … Read more
This is part 1 of a series on “Handling Categorical Data in R.” Almost every data science project involves working with categorical data, and we should know how to read, store, summarize, visualize & manipulate such data. Working with categorical data is different from working with other data types such as numbers or text. In … Read more
[This article was first published on Methods – finnstats, 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 post How to do Uniform Distribution in R appeared first … Read more
So, you want to become an R Shiny Developer? 2022 is the year to do it. Learning a new language, library, or framework can be stressful – even expensive at times! That’s why we decided to share the 7 best R Shiny books and courses you can follow from the comfort of your home completely … Read more
[This article was first published on YoungStatS, 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. Overview Suppose \(\{X_t: t\in \mathbb{Z}\}\) is a second order stationary time series where … Read more
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 information, visit the r-universe project … Read more
[This article was first published on Rstats – quantixed, 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 quick post about a puzzle called Wordle that is currently … Read more
[This article was first published on Why R? Foundation, 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. On Thursday, February 25th at 7 pm UTC | 8 pm … Read more
I am proud to announce my seventh package for you lovely R folks. This time it is a collection of datasets aimed at giving people in healthcare, and beyond, some solid examples for using with R. There remains a few excellent packages for this, such as mlbench, but they are limited in the number of … Read more
The R programming language packs a rich set of statistical functions. It makes it easy to do any kind of statistical test, including the analysis of variance. Today you’ll learn all about MANOVA in R, and apply it to a real dataset. We’ll start with the theory and discuss use-cases in which you should consider … Read more
Daniel Weiland – Consultant Medical Microbiologist – Newcastle upon Tyne NHS Foundation Trust Hello! This is my first blog post for the NHS R Community, which I stumbled across in the course of my work as a consultant medical microbiologist at Newcastle upon Tyne Hospitals NHS Foundation Trust. At work, I’ve been trying to use … Read more
In a hospital, 9% of all patients have Covid-19. But: Among the heavy smokers among these patients, only 6% have Covid-19. What? Does smoking reduce your risk of getting Covid? Another example: I recently saw a post on Twitter with a line graph showing that, in the UK, persons aged 18 to 59 who were … Read more
[This article was first published on R – TomazTsql, 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. With October 2021 version of R Studio (2021.09.1 Preview) a great … Read more
[This article was first published on HighlandR, 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 recently had to recreate a report which was originally produced in Excel. … Read more
[This article was first published on cynkra, 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. “Google Season of Docs (GSoD) provides support for open source projects to improve … Read more
[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. The New York Times had a [tragic] story on Covid deaths … Read more
[This article was first published on R on R (for ecology), 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. With the new year, I’m hoping more of you … Read more
[This article was first published on R – Eran Raviv, 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. Kind of sad, but the same intro which served last … Read more
[This article was first published on Methods – finnstats, 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 post Naive Approach Forecasting Example appeared first on finnstats. If … Read more
[This article was first published on Methods – finnstats, 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 post Systematic Sampling in R with example appeared first on … Read more
[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. Over the past couple of years, I have been working with … Read more
[This article was first published on Machine Learning in 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. We are happy to announce that mlr3spatial has been released … Read more
[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. Welcome to the new year! If you’re itching to improve your R … Read more
[This article was first published on HighlandR, 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 world’s going to pot. People who shouldn’t be in charge of jumble … Read more
[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. The below earlier LinkedIn post of well-defined nonlinear Stealth Support indicated price evolution … Read more
[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. [Author: Madan G. Kundu] In practice, survival times may be influenced by a … Read more
[This article was first published on Methods – finnstats, 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 post How to perform Eta Squared in R appeared first … Read more
[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. This post is an adaptation from Using databases with Shiny. Shiny apps are … Read more
#———————————————– # F test by using linearHypothesis() #———————————————– # H0 : b2/b1 = Nelson-Siegel slope factor # b3/b1 = Nelson-Siegel curvature factor #———————————————– NS_slope – (1–exp(–lambda*tau))/(lambda*tau) NS_curvature – NS_slope – exp(–lambda*tau) H0 – c(paste0(“slope_can=”,NS_slope,“*level_can”), paste0(“curvature_can=”,NS_curvature,“*level_can”)) # F test for coefficients restrictions linearHypothesis(reg.U, H0) #———————————————– # F test by mannual calculation #———————————————– # H0 : b2/b1 = Nelson-Siegel slope factor # b3/b1 = Nelson-Siegel curvature factor #———————————————– # restricted regression model reg.R – lm(exr_can3 ~ I(level_can + NS_slope*slope_can + NS_curvature*curvature_can), data = df.data, na.action = na.omit) # input variables for F-test T – length(reg.U$residuals) # # of observations K – length(reg.U$coefficients) # # of parameters J – 2 # # of restrictions # residual sum of squares RSSU – sum(reg.U$residuals^2) RSSR – sum(reg.R$residuals^2) # calculated F-test statistic F_test – ((RSSR – RSSU)/J)/(RSSU/(T–K)) # 95% critical value and p-value qf(.95, df1=J, df2=(T–K)) # 95% critical value 1 – pf(F_test, df1=J, df2=(T–K)) # p-value Favorite
[This article was first published on Methods – finnstats, 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 post How to perform the Sobel test in R appeared … Read more
Shiny apps are R’s answer to building interface-driven applications that help expose important data, metrics, algorithms, and more with end-users. However, the more interesting work that your Shiny app allows users to do, the more likely users are to want to save, return to, and alter some of the ways that they interacted with your … Read more
[This article was first published on R | Olivier Gimenez, 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. Here I illustrate how to train a CNN with Keras … Read more