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Anonymous Functions in R - Part 1
An Anonymous Function (also known as a lambda experssion) is a function definition that is not bound to an identifier. That is, it is a function that is created and used, but never assigned to a variable.
r 
6 hours ago by sharon_howard
Advice to Young (and Old) Programmers: A Conversation with Hadley Wickham – R-posts.com
I recently had the wonderful opportunity to chat with Hadley Wickham. He is an immensely prolific, yet humble guy who has not only contributed heavily to the advancement and development of R as a language and environment, but who also cares and has thought a lot about the process of doing data science the right way.
R 
8 hours ago by prcleary
Regression Modeling for Time Series
A little over a month ago Rob Hyndman finished the 2nd edition of his open source book Forecasting: Principles and Practice. Take a look, it’s a fantastic introduction and companion to applied time series modeling using R.

It made me I rediscover the tslm()-function of the excellent forecast-library, which provides a convenient wrapper for linear models with timeseries-data. The function provides two shorthands to add trend- and season-variables as regressors, which is quite useful to avoid problems such as “spurious regression”. Let’s look at an example.
R 
8 hours ago by prcleary
How to extract data from a PDF file with R – R-posts.com
In this post, taken from the book R Data Mining by Andrea Cirillo, we’ll be looking at how to scrape PDF files using R. It’s a relatively straightforward way to look at text mining – but it can be challenging if you don’t know exactly what you’re doing.
R 
8 hours ago by prcleary
Make your R code run faster | R-bloggers
There are lots of tricks you can use to make R code run faster: use more efficient data structures; vectorize your R code; offload complex data management tasks to databases. Emily Robinson shares many of these R performance tips in a case study on A/B testing for Etsy. The tips are just as valuable as the process Emily shares for evaluating them — and also the process of asking the R community for help. Check out her post, linked below.
R 
8 hours ago by prcleary
Automated Data Collection with R - Gathering Twitter data with the TwitteR2Mongo package
Did you ever want to track trending topics on Twitter, but missed to start the tracking as an event took off? Are you interested in mining massive amounts of Twitter data using R, but lack the tools to store all tweets in a database? If yes, this post might be what you've been waiting for.
R 
8 hours ago by prcleary
Making R Code Faster : A Case Study - Hooked on Data
This post documents the iterative process of improving the performance of the function, culminating in a runtime of .64 seconds for 10,000 iterations, a speed-up of more than 100,000x.
R 
9 hours ago by prcleary
Integrating R with QGIS • RQGIS
RQGIS establishes an interface between R and QGIS, i.e. it allows the user to access QGIS functionalities from within R. It achieves this by establishing a tunnel to the Python QGIS API via the reticulate-package. This provides the user with an extensive suite of GIS functions, since QGIS allows you to call native as well as third-party algorithms via its processing framework (see also https://docs.qgis.org/2.14/en/docs/user_manual/processing/index.html). Third-party providers include among others GDAL, GRASS GIS, SAGA GIS, the Orfeo Toolbox, TauDEM and tools for LiDAR data. RQGIS brings you this incredibly powerful geoprocessing environment to the R console.
R 
9 hours ago by prcleary
Scraping a website with 5 lines of R code | R-bloggers
In what is rapidly becoming a series — cool things you can do with R in a tweet — Julia Silge demonstrates scraping the list of members of the US house of representatives on Wikipedia in just 5 R statements:
R 
9 hours ago by prcleary
reticulate: R interface to Python | RStudio Blog
We are pleased to announce the reticulate package, a comprehensive set of tools for interoperability between Python and R.
R  python 
9 hours ago by prcleary
Spatial Data Science with R — R Spatial
This website provides materials to learn about spatial data analysis and modeling with R. R is a widely used programming language and software environment for data science. R has advanced capabilities for managing spatial data; and it provides unparalleled opportunities for analyzing such data.
R 
9 hours ago by prcleary
Quick list of useful R packages – RStudio Support
Many useful R function come in packages, free libraries of code written by R's active user community.
R 
9 hours ago by prcleary
An Introduction to Docker for R Users - Colin Fay
A quick introduction on using Docker for reproducibility in R.
R  docker 
9 hours ago by prcleary
100+ Free Data Science Books – LearnDataSci
Pulled from the web, here is a our collection of the best, free books on Data Science, Big Data, Data Mining, Machine Learning, Python, R, SQL, NoSQL and more.
R  python  sql  statistics 
9 hours ago by prcleary
Write your own R package, Part One
We will use the devtools package to facilitate package development.
R 
9 hours ago by prcleary
Docker-izing your work in R 🐳 · Mara Averick
I am decidedly a novice when it comes to any and all things Docker (which, incidentally, is why I’ve been reading these posts). But, since it’s helpful for me to have all of these resources together in one place, I thought I’d share the love around.1
R  docker 
9 hours ago by prcleary

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