seplyr is an R package that makes it easy to program over dplyr 0.7.*. To illustrate this we will work an example. Suppose you had worked out a dplyr pipeline that performed an analysis you were interested in. For an example we could take something similar to one of the examples from the dplyr 0.7.0 … Continue reading Tutorial:...
At my day job I’m a data manager and statistician for an epidemiology project called CHAI lead by Cathryn Tonne. CHAI means “Cardio-vascular health effects of air pollution in...
It was another productive week in Stan land. The big news is that Jonathan Auerbach reports that A team of Columbia students (mostly Andrew’s, including myself) recently won first...
IEEE Spectrum has published its fourth annual ranking of of top programming languages, and the R language is again featured in the Top 10. This year R ranks at...
Introduction R Markdown is one of the most popular data science tools and is used to save and execute code to create exceptional reports whice are easily shareable. The...
Power analysis is extremely important in statistics since it allows us to calculate how many chances we have of obtaining realistic results. Sometimes researchers tend to underestimate this aspect...
I recently read the high quality book Global Inequality by Branko Milanovic. When reading this sort of thing, I often find I can increase my engagement with a...
“‘Demographic tsunami’ will keep Sydney, Melbourne property prices high” screams the headline. While the census showed Australia overall is aging, there’s been a noticeable lift in the number of...
I’m starting to incorporate more Rcpp in my R work, and so decided to spend some time exploring the Rcpp Gallery. One example by John Merrill caught my eye. He provides a...
So the goal here is to focus back on Greenville County and have even more granularity. I look at median house prices near Greenville and then overlay the park...
In this post, I will talk about my package bigstatsr, which I’ve just presented in a lightning talk of 5 minutes at useR!2017. You can listen to me in...
This is the third post in our series on portfolio volatility, variance and standard deviation. If you want to start at the beginning with calculating portfolio volatility, have a...
US Census Data The US Census collects a number of demographic measures and publishes aggregate data through its website. There are several ways to use Census data in R,...
International Congress for Conservation Biology: What analysis program do conservation scientists use? With the International Congress for Conservation Biology starting 23rd July I was wondering, what analysis programs are most...
Quirks about running Rcpp on Windows through RStudio This is a quick note about some tribulations I had running Rcpp (v. 0.12.12) code through RStudio (v. 1.0.143) on a...
Virtually every dataset has them; id variables that link a record to a subject and/or time point. Often one column, or a combination of columns, forms the unique id...
Rafael Irizarry from the Harvard T.H. Chan School of Public Health has presented a number of courses on R and Biostatistics on EdX, and he recently also provided an...
Plumber is a package which allows you to create web APIs from your R code. If you're new to Plumber, you can take a look at www.rplumber.io to learn...
Plumber is a package which allows you to create web APIs from your R code. If you're new to Plumber, you can take a look at www.rplumber.io to learn...
Proposed solution to Euler Problem 26 in the R language. Find the value of d Continue reading → The post The Viral Recurring Decimal: Euler Problem 26 appeared first on...
Ligature fonts are fonts which sometimes map multiple characters to a single glyph, either for readability or just because it looks neat. Importantly, this only affects the rendering of...
Part 1 of 5 in the series Numerical AnalysisNeville’s method evaluates a polynomial that passes through a given set of and points for a particular value using the Newton...
The ArCo package 0.2 is now available on CRAN. The functions are now more user friendly. The new features are: Default function for estimation if the user does not...
Have you ever found that, the flight for which you paid a premium fare did not live up to your expectations? Maybe you would like to The post Are...
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...
Hello R users, we've got a brand new course today: Writing Efficient R Code by Colin Gillespie. The beauty of R is that it is built for performing data analysis....
Jonah “ShinyStan” Gabry, Mike “Riemannian NUTS” Betancourt, and I will be giving a three-day short course next month in New York, following the model of our successful courses in...
Machine learning is often split between three main types of learning: supervised learning, unsupervised learning, and reinforcement learning. Knowing the differences between these three types of learning is necessary for...
A new version of RcppAPT -- our interface from R to the C++ library behind the awesome apt, apt-get, apt-cache, ... commands and their cache powering Debian, Ubuntu...
