The data pertaining to cases, deaths and recoveries is pooled from Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE). Vaccination data is pooled from Our world in data. Both sources update the data sets on a daily basis an...

Our last few posts on risk factor models haven’t discussed how we might use such a model in the portfolio optimization process. Indeed, although we’ve touched on mean-variance optimization, efficient frontiers, and maximum Sharpe ratios in this portfolio series, we haven’t discussed portfolio optimization and its outputs ...

In a previous post, we have provided an example of Rolling Regression in Python to get the market beta coefficient. ... Read moreRolling Regression and Pairs Trading in R

While the Covid-19 pandemic and teaching a new course in the fall put paid to most of my development time last year, some time off work this January allowed me time to work on gratia ???? again. I released 0.5.0 to CRAN in part to fix an issue with tests not running ...

I started using rain (a South African ISP) back in March 2019. The coverage was good (the only place I couldn’t get a signal was at Lanseria Airport), while the bandwidth was consistently high. I loved the fact that it was affordable, reliable and portable. So much has changed. Rain ...

tldr: I wrote a Pandoc Lua filter to correctly format my Bookdown/Rmarkdown documents no matter the output file. You can see the filter as a Github gist here. Apparently I’m never satisfied enough to stop futzing around with Bookdown. I’...

Our R Shiny project was initialized, now we need to start modularizing our code and developing patterns for future development. This will build out our framework even farther and make additional code simple and straightforward.

Our R Shiny project was initialized, now we need to start modularizing our code and developing patterns for future development. This will build out our framework even farther and make additional code simple and straightforward.

Finally new dates! Take a visit to our upcoming workshops offer on the very exciting R Shiny topic! After the success of our first workshop series end of last year, and the particular interest that has been shown on the shiny topic, we are excited ...

It has been a while since we posted an update about magick, but behind the scenes we are constantly tweaking and improving this package, which has become a very mature and complete toolkit for image processing in R. Over the past year, we did 6 CRAN r...

It has been a while since we posted an update about magick, but behind the scenes we are constantly tweaking and improving this package, which has become a very mature and complete toolkit for image processing in R. Over the past year, we did 6 CRAN r...

One hundred twenty-three new packages made it to CRAN in December. Here are my “Top 40” selections in nine categories: Computational Methods, Data, Genomics, Machine Learning, Medicine, Science, Statistics, Utilities, and Visualization. Computational Methods FKF.SP v0.1.0: Provides a fast and flexible Kalman filtering implementation utilizing sequential processing, designed for efficient ...

Introduction Tweet-set Media bias data set Resolving shortened URLs Shared news media sources Media bias & tSNE Resources Introduction This post provides a brief description of methods for quantifying political bias of online news media based on the media-sharing habits of US lawmakers on Twitter. I have discussed this set of ...

treeshap — explain tree-based models with SHAP valuesAn introduction to the packageThis post is co-authored by Szymon Maksymiuk.For several months we have been working on an R package treeshap — a fast method to compute SHAP values for tree ensemble mo...

???? Each month, we release tons of great content on R for Business. Register to get fresh R Tips straight to your inbox. For years Python and R have been pitted as mortal enemies in the world of data science, enticing its practitioners to choose a sid...

We look at the problem of learning latent structure between two blocks of data through the partial least squares (PLS) approach. These methods include approaches for supervised and unsupervised statistical learning. We review these methods and prese...

We have provided an example of how to Build and Deploy a Machine Learning Web App using Python and Flask. ... Read moreHow to Share your Machine Learning Models with Shiny

A quick tutorial showing how to use the tiktokrmd R package to display TikTok videos in .Rmd files and then serve them up on GitHub pages.