I’m building an automated reporting system which generates PDF reports. My approach is to use R Markdown to write the report and render to PDF using the excellent {pagedown} package. Ultimately the system needs to be packaged in Docker and deployed...

A forecasting tool (API) with examples in curl, R, Python

This post explains the logistic regression and implements R code for the estimation of its parameters. Logistic Regression Logistic Regression is a benchmark machine learning model. This model have a binary response variable (\(Y\)) which takes on 0 or 1. We can find lots of this kind of variables, among them are ...

Authored by: the R-Ladies Philly organizing team Since the start of the COVID-19 pandemic in March 2020, R-Ladies Philly has shifted from local in-person meetups to virtual events. Hundreds of... The post R-Ladies Philly – Building our Online Community During the Pandemic appeared first on R Consortium.

Many times, in our projects, we may needed to compare different factors to one another, and study whether they are linearly dependent. These information can also help us to detect covariates and define suitable design formulas for our analysis that wou...

How following a few basic suggestions for writing Dockerfiles can hugely improve the developer experience and the quality of the final Docker images.

In this tutorial we are going to discuss DT package from R. DT stands for data tables and datatable() is the main function of DT package. datatable() is completely different from data.table() function DT package is very easy to use and based on this package can filter, search export ...

At RStudio, we pride ourselves on the quality of our documentation. Our documentation website, docs.rstudio.com, provides detailed information on the installation and configuration of our products. The documentation for each product is owned by the re...

Are you interested in guest posting? Publish at DataScience+ via your RStudio editor.CategoryAdvanced ModelingTagsHodgkin & Huxley modelNerve Pulse TransmissionNeuron ModelingR ProgrammingThe action potential is defined as the signal that is transmitted along an axon (also called nerve fiber). The axon is a portion of a nerve cell (neuron) that carries ...

For nearly 50 years, the UK-based independent magazine New Internationalist is bringing us impactful, global stories from voices often unheard. The magazine is dedicated to socially conscious journalism and publishing and is now inviting the public to ...

TLDR: I’ve written an R package, cvwrapr, that helps users to cross-validate hyperparameters. The code base is largely extracted from the glmnet package. The R package is available for download from Github, and contains two vignettes which demonstrate how to … Continue reading →

This post explains how to implement the Smith-Wilson extrapolation by which deterministic DNS shock scenarios are generated. Smith-Wilson Extrapolation Deterministic DNS shock scenarios under ICS (K-ICS) are the term structure of annually compounding spot rates which spans from 1-month to 1440-month (120-year) or longer. This is used to discount the ...

These set of tutorial arose through my desire to use as many machine learning packages as possible. My favourites still remain tensorflow, caret, sci-kit learn and now TidyModels. Why TidyModels? Instead of replacing the modelling package, tidymodels replaces the interface. Better said, tidymodels provides a single set of functions and ...