September 2015

On Lagrange Polynomials

September 30, 2015 | Frank Portman

Let’s take $n$ distinct points on the real line: Yay. We can now define the Lagrange Polynomials : Why am I making you look at this beauté? Turns out there’s some neat mathematical properties - namely in the subject of polynomial interpolation. That’s a fancy way of saying ‘... [Read more...]

Playing with Leaflet (and Radar locations)

September 30, 2015 | arthur charpentier

Yesterday, my friend Fleur did show me some interesting features of the leaflet package, in R. library(leaflet) In order to illustrate, consider locations of (fixed) radars, in several European countries. To get the data, use download.file("http://carte-gps-gratuite.fr/radars/zones-de-danger-destinator.zip","radar.zip") unzip("radar.zip")   ext_...
[Read more...]

Combining Choropleth Maps and Reference Maps in R

September 30, 2015 | Ari Lamstein

Recent updates to my mapping packages now make it easy to combine choropleth maps and reference maps in R. All you have to do is pass the parameter reference_map = TRUE to the existing functions. This should “just work”, regardless of which region you zoom in on or what data ...
[Read more...]

Hacking The New Lahman Package 4.0-1 with R-Studio

September 30, 2015 | Kris Eberwein

The developers of the Lahman package for R have recently updated the package to include 2014 MLB stats! For those not familiar, this R package recreates Sean Lahman’s Baseball Database into a quick and handy little R package. I’ve written on the Lahman package before, and even suggested adding ... [Read more...]

Rebuilding Map Example With Apply Functions

September 30, 2015 | Christoph Safferling

Yesterday Hadley’s functional programming package purrr was published to CRAN. It is designed to bring convenient functional programming paradigma and add another data manipulation framework for R. “Where dplyr focusses on data frames, purrr focusses on vectors” – Hadley Wickham in a blogpost The core of the package consists of ... [Read more...]

Unbalanced Data Is a Problem? No, BALANCED Data Is Worse

September 29, 2015 | matloff

Say we are doing classification analysis with classes labeled 0 through m-1. Let Ni be the number of observations in class i. There is much handwringing in the machine learning literature over situations in which there is a wide variation among the Ni. I will argue here, though, that the problem ... [Read more...]

ThinkToStart is looking for R Authors

September 29, 2015 | Julian Hillebrand

ThinkToStart is growing and we need more people who help us on our mission to bridge the gap between data and business. Therefore we are looking for motivated R fans that help us to produce more great content. What is ThinkToStart? ThinkToStart started as a blog mainly about R tutorials ... [Read more...]

Why Big Data? Learning Curves

September 29, 2015 | Joseph Rickert

by Bob Horton Microsoft Senior Data Scientist Learning curves are an elaboration of the idea of validating a model on a test set, and have been widely popularized by Andrew Ng’s Machine Learning course on Coursera. Here I present a simple simulation that illustrates this idea. Imagine you use ... [Read more...]

Lewis Rendell: What I Learnt At Mango Solutions

September 29, 2015 | Mango Blogger

By Lewis Rendell, R Consultant Intern, Mango Solutions As a mathematics and statistics student, R has been invaluable during my studies. With the number of packages available for data analysis and the ease with which simple and complex functions can … Continue reading → [Read more...]
1 2 3 12

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)