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pdf.js htmlwidget for R. Contribute to yonicd/rpdf development by creating an account on GitHub.

Create pretty tables for HTML, PDF, Microsoft Word and Microsoft PowerPoint documents from R Markdown. Functions are provided to let users create tables, modify and format their content. It also extends package officer that does not contain any feature for customized tabular reporting.

Make working with dates in R just that little bit easier - tidyverse/lubridate

Query URL links embedded in Installed Packages. Contribute to yonicd/helpdesk development by creating an account on GitHub.

📦🔭🌠 Create your own universe of packages à la tidyverse - mkearney/pkgverse

Read a table of fixed width formatted data of different types into a data.frame for each type. - prontog/multifwf

R package that makes basic data exploration radically simple (interactive data exploration, reproducible data science) - rolkra/explore

:scissors: Extract Tables from Microsoft Word Documents with R - hrbrmstr/docxtractr

Some (magical) printing methods for knitr. Contribute to yihui/printr development by creating an account on GitHub.

R package for exploratory data analysis. Contribute to ujjwalkarn/xda development by creating an account on GitHub.

Minimalistic GitHub API client in R. Contribute to r-lib/gh development by creating an account on GitHub.

CRAN WebTechnologies Task View. Contribute to ropensci/webservices development by creating an account on GitHub.

Easily install and load packages from the tidyverse - tidyverse/tidyverse

Fast reading of delimited files. Contribute to r-lib/vroom development by creating an account on GitHub.

Yixuan's blogs on statistcs, programming, and more

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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.