Modeling data without any underlying causal theory can sometimes lead you down the wrong path, particularly if you are interested in understanding the way things work rather than making predictions. A while back, I described what can go wrong when you control for a mediator when you are interested in ...

If that’s not a great 1960’s band name then I don’t know what is (hint: I don’t know what is). At the start of the year I set out my ‘goals for 2018’ just like many of us do; an overly ambitious list of things we’d like ...

If that’s not a great 1960’s band name then I don’t know what is (hint: I don’t know what is). At the start of the year I set out my ‘goals for 2018’ just like many of us do; an...Continue Reading →

I’m happy to report a new major release of lime has landed on CRAN. lime is an R port of the Python library of the same name by Marco Ribeiro that allows the user to pry open black box machine learning models and explain their outcomes on a per-observation ...

I love working with R and have been sharing the love with my friends and colleagues for almost seven years now. I’m one of those really annoying people whose response to most analysis-related questions is “You can do that in R! Five minutes, tops!” or “Three lines of code, ...

This afternoon, I took a quick look at the current Riddler puzzle, which sums up as, given three points A, B, C, arbitrarily moving on a plane with a one-shot view of their respective locations, find a moving rule to bring the three together at the same point at the ...

I recently submitted a Proposal to the R Consortium. I decided to share this proposal on my blog for two reasons: To raise awareness of... The post My Proposal to the R Consortium appeared first on AriLamstein.com.

The motivation for this plot is the function: graphics::smoothScatter, basically a plot of a two dimensional density estimator. In the following I want to reproduce the features with ggplot2. smoothScatter To have some data I draw some random numbers from a two dimensional normal distribution: library(ggplot2) library(MASS) ...

At STATWORX, we all love R – even so much, that we have decided to visit eRum 2018, an R conference hosted in Budapest! And just as much as we love R, we love the piping operator %__% , as it makes our R codes much neater. I guess, many of you have already ...

A. INTRODUCTION When building statistical models, the goal is to define a compact and parsimonious mathematical representation of some data generating process. Many of these techniques require that one make assumptions about the data or how the analysis is specified. For example, Auto Regressive Integrated Moving Average (ARIMA) models require ...

I’m always intrigued by data science “meta” analyses or programming/data-science. For example, Matt Dancho’s analysis of renown data scientist David Robinson. David Robinson himself has done some good ones, such as his blog posts for Stack Overflow highlighting the growth of “incredible” growth of python, and the “...

SQL Server Reporting services (SSRS) is an outstanding tool for creating, deploying and managing paginated, mobile, KPI reports as well as Power BI reports. Tool provides simple way to share and get data insights in your corporate environment. (Photo source: Microsoft docs) Using the privileges of R language to enrich ...