Let’s say we have data such that . (We assume no ties among the ‘s for simplicity.) Isotonic regression gives us a monotonic fit for the ‘s by solving the problem (See this previous post for more details.) Nearly-isotonic regression, … Continue reading →

R has many great tools for data wrangling. Two of those are the dplyr and data.table packages. When people wonder which one should they learn it is often argued that dplyr is considerably slower compared with data.table. Granted, data.table is blaz...

wizehiver: R wrapper for WizeHive’s Zengine API dataedu: R Package Associated with the Data Science in Education Using R Book leaidr: R Package for U.S. School District Shapefiles edreportr: R Wrapper for EdReports API

In two Covid-19-related trials I’m involved with, the primary or key secondary outcome is the status of a patient at 14 days based on a World Health Organization ordered rating scale. In this particular ordinal scale, there are 11 categories ranging from 0 (uninfected) to 10 (death). In between, a patient can ...

A COVID19 lexicon Congressional Twitter Corpus (2020) text2vec framework for NLP :: Tokens & tokenizers Multi-word expressions & controlled vocabularies DTMs & prevalence of COVID19-related concepts GloVe model & COVID19 semantic space Networks & lexical co-occurrence Summary A SHORT COURSE IN COMPUTATIONAL-CORPUS LINGUISTICS – using the R library text2vec – with a focus on working with (...

Ryan A. Estrellado is a public education leader and data scientist helping administrators use practical data analysis to improve the student experience. Chicken Farm in the Open In 2017, Emily Bovee, Jesse Mostipak, Joshua Rosenberg, Isabella Velásquez, and I started work on our book, Data Science in Education Using R (...

I am very pleased to announce that tidylo, a package for weighted log odds using tidy data principles, is now on CRAN! ???? I would like to send my warmest thanks to my collaborators Alex Hayes and Tyler Schnoebelen for their helpful contributions. You can now install the released version of ...

R has many great tools for data wrangling. Two of those are the dplyr and data.table packages. When people wonder which one should they learn it is often argued that dplyr is considerably slower compared with data.table. Granted, data.table is blazing fast, but I personally find the ...

Tired of using always the same old graphs to visualize your data? There are more and often also more efficient ways to visualize your data than just line or bar charts! We show 4 great alternatives to standard graphs for data visualization with ggplot in R. Der Beitrag 4 Great Alternatives to ...

Data Art As the name suggests, data art is an art created using data of any kind. Well, the definition may vary. It's not an exact science. Some may use random data while others may use real life data. I recently came across the con...

Data Art As the name suggests, data art is an art created using data of any kind. Well, the definition may vary. It’s not an exact science. Some may use random data while others may use real life data. I recently came across the concept from the R graph ...

Using the satRday Johannesburg 2020 conference as a springboard, Forwards set up a project to help build the R community in Southern Africa. With funding from the Why R? Foundation, the R Consortium and a crowd-funding campaign, Forwards collaborated with local R users to run a series of training and community ...