So you are using this pipeline to have data treated by different functions in R. For example, you may be imputing some missing values using the simputation package. Let us first load the only realistic dataset in R > data(retailers, … Continue reading →
R is incredible software for statistics and data science. But while the bits and bytes of software are an essential component of its usefulness, software needs a community to...
Skewed data prevail in real life. Unless you observe trivial or near constant processes data is skewed one way or another due to outliers, long tails, errors or something...
Pooling the polls with Bayesian statistics In an important 2005 article in the Australian Journal of Political Science, Simon Jackman set out a statistically-based approach to pooling polls in an...
What's that? You've heard of R? You use R? You develop in R? You know someone else who's mentioned R? Oh, you're breathing? Well, in that case, welcome! Come...
Face Recognition in R OpenCV is an incredibly powerful tool to have in your toolbox. I have had a lot of success using it in Python but very little...
Two hundred and twenty-nine new packages were submitted to CRAN in May. Here are my picks for the “Top 40”, organized...
Part 3 of 3 in the series Set TheoryThe union and intersection set operations were introduced in a previous post using two sets, and . These set operations can...
Which policy instruments should we use to cost-effectively reduce greenhouse gas emissions? For a given technological level there are many economic arguments in favour of tradeable emission certificates or...
Power BI has long had the capability to include custom R charts in dashboards and reports. But in sharp contrast to standard Power BI visuals, these R charts were...
Last Friday marked my two year anniversary working as a data scientist at Stack Overflow. At the end of my first year I wrote a blog post about...
By Yuri Resende Today we will use an online convex optimization technique to build a very simple algorithm for portfolio allocation. Of course this is just an illustrative...
Data wrangling is a task of great importance in data analysis. Data wrangling, is the process of importing, cleaning and transforming raw data into actionable information for analysis. It...
A new version of the nanotime package for working with nanosecond timestamps just arrived on CRAN. nanotime uses the RcppCCTZ package for (efficient) high(er) resolution time...
Among the many R packages, there is the outbreaks package. It contains datasets on epidemics, on of which is from the 2013 outbreak of influenza A H7N9 in China,...
Today we’re introducing Datazar Community Tutorials. At Datazar, we love writing tutorials and how-tos on R, Python, D3, research and science best practices in general. So starting today, we’re...
charlatan makes fake data. Excited to annonunce a new package called charlatan. While perusing packages from other programming languages, I saw a neat Python library called faker. charlatan is inspired from and ports...
In this post, I demonstrate a few techniques for plotting information from a relatively simple mixed-effects model fit in R. These plots can help us develop intuitions about what these...
A new minor version 0.2.3 of RcppCCTZ is now on CRAN. RcppCCTZ uses Rcpp to bring CCTZ to R. CCTZ is a C++ library for translating between absolute and...
Solution to Euler Problem 25 in the R language. What is the index of the first term in the Fibonacci sequence to contain 1000 digits? Continue reading
Abstract We provide an interpretation for the confidence interval for a binomial proportion hidden as the transcript of an hypothetical statistical consulting session. ...
The Windows edition of the Data Science Virtual Machine (DSVM), the all-in-one virtual machine image with a wide-collection of open-source and Microsoft data science tools, has been updated to...
Neural network have become a corner stone of machine learning in the last decade. Created in the late 1940s with the intention to create computer programs who mimics the...
Dear Fantasy Football Analytics Community, Four years ago, we released web apps to help people make better decisions in fantasy football based on the wisdom of the crowd. Over the...
I'm excited to announce my DataCamp course on importing and managing financial data in R! I'm also honored that...
Analytic administrator is a role that data scientists assume when they onboard new tools, deploy solutions, support existing standards, or train...
Smoothing a time-series with a Bayesian model Recently I looked at fitting a smoother to a time-series using Bayesian modelling. Now I will look at how you can control the smoothness by using...
For the past four years, recruiting firm Burtch Works has conducted a simple survey of data scientists with just one question: "Which do you prefer to use — SAS,...
Jobs for R users
