So many things have been said about weighting, but on my personal view of statistical inference processes, you do have to weight. From a single statistic until a complex model, you have to weight, because of the probability measure that induces the var... [Read more...]

[Read more...]

Euler Problem 24 asks to develop lexicographic permutations which are ordered arrangements of objects in lexicographic order. Tushar Roy of Coding Made Simple has shared a great introduction on how to generate lexicographic permutations. Euler Problem 24 Definition A permutation is … Continue reading → The post Lexicographic Permutations: Euler Problem 24 appeared first on ... [Read more...]

For almost a year now, a collection of researchers from around the world has been collaborating to develop the next generation of analysis tools for disease outbreak response using R. The R Epidemics Consortium (RECON) creates R packages for handling, visualizing, and analyzing outbreak data using cutting-edge statistical methods, along ... [Read more...]

This set of exercises is about exploratory factor analysis. We shall use some basic features of psych package. For quick introduction to exploratory factor analysis and psych package, we recommend this short “how to” guide. You can download the dataset here. The data is fictitious. Answers to the exercises are ... [Read more...]

[…] [Read more...]

[Read more...]

[Read more...]

Hello, R users! Today we're launching Data Visualization in R with lattice by Deepayan Sarkar, the creator of the lattice package. Visualization is an essential component of interactive data analysis in R. Traditional (base) graphics is powerful, bu... [Read more...]

If you find yourself often repeating the same scripts in R, you might come to the point where you want to turn them into reusable functions and create your own R package. I recently reached that point and wanted to learn how to build my own R package – as simple ... [Read more...]

Hello, R users! Today we're launching Data Visualization in R with lattice by Deepayan Sarkar, the creator of the lattice package. Visualization is an essential component of interactive data analysis in R. Traditional (base) graphics is powerful, but limited in its ability to deal with multivariate data. Trellis graphics is ... [Read more...]

In MicrosoftML package comes – in my opinion – long anticipated function for installing R packages for SQL Server and Microsoft R Server. And, I am super happy. Last year, in one of my previous blog posts, I have been showing how to install R package from SSMS using sp_execute_external_... [Read more...]

Back in January I wrote a post discussing how to get RMarkdown and Pelican to work together to make the R analysis __ blog post workflow a bit easier. While I had high hopes, I was never really happy with the setup I put together then, so I set out to ... [Read more...]

Welcome to the seventh post in the rarely relevant R ramblings series, or R4 for short. We took a short break as several conferences and other events interfered during the month of May, keeping us busy and away from this series. But we are back now with a short and ... [Read more...]

Today, we are going to wrap our previously built Quandl/world map Notebook into an interactive Shiny app that lets users choose both a country and a data set for display. As usual, we did a lot of the heavy lifting in the Notebook to make our work more reproducible ... [Read more...]

[Read more...]

Putting R code into production generally involves orchestrating the execution of a series of R scripts. Even if much of the application logic is encoded into R packages, a run-time environment typically involves scripts to ingest and prepare data, run the application logic, validate the results, and operationalize the output. ... [Read more...]

[Read more...]

I wrote a little while back about using Microsoft Cognitive Services APIs with R to first of all detect the language of pieces of text and then do sentiment analysis on them. I wasn’t too happy with the some of the code as it was very inelegant. I knew ... [Read more...]

I wrote a little while back about using Microsoft Cognitive Services APIs with R to first of all detect the language of pieces of text and then do sentiment analysis on them. I wasn’t too happy with the some of The post Using purrr with APIs – revamping my code ... [Read more...]