Do you want to analyze data that resides in Google BigQuery as part of an R workflow? Thanks to the bigrquery R package, it’s a pretty seamless experience — once you know a couple of small tweaks ...

If you have diabetes, your doctor might suggest Humulin R (insulin human) as a treatment option for you. This article describes the dosages of Humulin R, as well as its strengths and how to use the ...

Python is popular for statistical analysis because of the large number of libraries. One of the most common statistical calculations is linear regression. statsmodels offers some powerful tools for ...

Note that GitHub Copilot isn’t optimized for R; the documentation says Copilot works “especially well” for Python, JavaScript, TypeScript, Ruby, Go, C#, and C++. However, Copilot does make R code ...

With so much emphasis on getting insight from data these days, it’s no wonder that R is rapidly rising in popularity. R was designed from day one to handle statistics and data visualization, it’s ...

We describe how to conduct a regression analysis for competing risks data. The use of an add-on package for the R statistical software is described, which allows for the estimation of the ...

In studies on HSCT Kaplan–Meier (KM) estimates of survival curves and Cox proportional hazard models are widely used to describe survival trends and identify significant prognostic factors. All these ...