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In this post, I talk about performance through an efficient algorithm I developed for finding closest points on a map. This algorithm uses both concepts from mathematics and algorithmics. Problem to solve This problem comes from a recent question on StackOverflow. I have two matrices, one is 200K rows long, the other is 20K. For each row (which is a point) in the first matrix, I am trying to find which row (also a point) in the second matrix is closest to the point in the first matrix. This is the first method that I tried on a sample dataset: # Test dataset: longitude and latitude pixels.l...

Here are my notes from a recent talk I gave on vectorization at a Davis R Users’ Group meeting. Thanks to Vince Buffalo, John Myles White, and Hadley Wickham for their input as I was preparing this. Feedback welcome! Beginning R users are often told to “vectorize” their code. Here, I try to explain why vectorization can be advantageous in R by showing how R works under the hood. Now, remember, premature optimization is the root of all evil (Knuth).

Brief discussion of file/directory organization, perhaps the most important step to take towards ease of reproducibility.

Has anybody used R to create a Gantt chart? P.S. I could live without the dependency arrows.

Support for simple features, a standardized way to encode spatial vector data. Binds to GDAL for reading and writing data, to GEOS for geometrical operations, and to PROJ for projection conversions and datum transformations. Optionally uses the s2 package for spherical geometry operations on geographic coordinates.

Presentation-Ready Data Summary and Analytic Result Tables - ddsjoberg/gtsummary

R package, using vis.js library for network visualization - datastorm-open/visNetwork

Mostly R, data, and code.

codebook

Google Cloud Storage API to R. Contribute to cloudyr/googleCloudStorageR development by creating an account on GitHub.

Showcase of Shiny App for client database and after-sales calls exploration - ThinkR-open/clientapp

Create Pivot Tables natively in R. Contribute to cbailiss/pivottabler development by creating an account on GitHub.

dataCompareR is an R package that allows users to compare two datasets and view a report on the similarities and differences. - capitalone/dataCompareR

Learn from Virtual Workshops that take you through the entire Data-Science-for-Business process of solving problems with data science, using machine learning to create interactive applications, and distributing solutions within an organization.

Always wanted to write an R package for your team? This article gives tips for what to include in your team's R package. Get started today!

If "docs" is not in "inst" folder, it will not be available to the users

Summarise text by finding relevant sentences and keywords using the Textrank algorithm - bnosac/textrank

:chart_with_upwards_trend: Financial statements in R - bergant/finstr

Data model diagrams in R. Contribute to bergant/datamodelr development by creating an account on GitHub.