In recent years there’s been a great deal of interest in, and work toward, creating more “reproducible” statistical code. I think this is a fantastic development. Looking at code I wrote in the late 90’s and early oughts, it’s clear how much ... [Read more...]

[This article was first published on Reimagined Invention, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share [Read more...]

by Katherine Zhao, Hong Lu, Zhongmou Li, Data Scientists at Microsoft Bicycle rental has become popular as a convenient and environmentally friendly transportation option. Accurate estimation of bike demand at different locations and different times would help bicycle-sharing systems better meet rental demand and allocate bikes to locations. In this ... [Read more...]

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Keeping up with R-related news on Twitter, GitHub, CRAN & even R-Bloggers (et al) can be an all-encompassing task that may be fun, but doesn’t always make it easy to get work done. There is so much going on in the R community that we (myself and @jayjacobs) felt there ... [Read more...]

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In case you missed them, here are some articles from April of particular interest to R users. Lukasz Piwek recreates classic graphs from Tufte's 'The Visual Display of Quantitative Information' in R. A preview of upcoming R conferences in Europe. Andrie de Vries updates the data on R package growth ... [Read more...]

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As an author of several open-source software projects, I’ve taken for granted that people using the software share the same community values as I do. Open-source authors provide their code “free” to the community so that others may benefit without having to re-invent the wheel. The only expectation (but ... [Read more...]

Detect sentinel values, recode factor variables, replace missing values: a tutorial on various steps in data preparation using R. The post Preparing the data for modelling with R appeared first on MilanoR. [Read more...]

Last week I ran two webinars on my new course, Shapefiles for R Programmers. If you were interested in watching, but unable attend, you can watch a replay below: Some thoughts on webinars I ran my first webinar about 6 months ago. Before running it I was unsure what to expect. ... [Read more...]

Welcome to Introduction to R for Data Science Session 2! The course is co-organized by Data Science Serbia and Startit. You will find all course material (R scripts, data sets, SlideShare presentations, readings) on these pages. [in Serbian] Lecturers dipl. ing Branko Kovač, Data Analyst at CUBE, Data Science Mentor at ... [Read more...]

EDIT 5/10/2016 1:30pm: Several folks from Adobe Analytics/Adobe Marketing Cloud have contacted me, and everything is resolved. I can’t untweet other people’s retweets/shares or delete comments on LinkedIn, but if everyone could stop sharing any mor... [Read more...]

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Over the last few blog posts, I’ve discussed some of the basics of what machine learning is and why it’s important: – Why machine learning will reshape software engineering – What is the core task of machine learning – How to get started in machine learning in R Throughout those posts, ... [Read more...]

Discover Data Mining with R: find patterns in large data sets using the R tools for Dimensionality Reduction, Clustering, Classification and Prediction. The post "Data Mining with R" Course | May 17-18 appeared first on MilanoR. [Read more...]

from Wikimedia In my last post I explained why I added a feedback function to googleformr. Since googleformr is an API for collecting data programmatically, I figured I’d leverage it for package development and accessibility. Below I’ll show how ... [Read more...]