In this article we will discuss composing standard-evaluation interfaces (SE) and composing non-standard-evaluation interfaces (NSE) in R. In R the package tidyeval/rlang is a tool for building domain specific languages intended to allow easier composition of NSE interfaces. To use it you must know some of its structure and ... [Read more...]

The Mango team held their first instance of the EARL conference series in San Francisco last month, and it was a fantastic showcase of real-world applications of R. This was a smaller version of the EARL conferences in London and Boston, but with that came the opportunity to interact with ... [Read more...]

qualtRics version 2.0 is now available from CRAN. This version contains several additional features and simplifies the process of importing survey exports from Qualtrics. Below, I outline the most important changes. You can check the full changelog her... [Read more...]

Uncertainty is the biggest enemy of a profitable business. That is especially true of small business who don’t have enough resources to survive an unexpected diminution of revenue or to capitalize on a sudden increase of the demand. In this context, it is especially important to be able to ... [Read more...]

The Integrated Data Infrastructure (IDI) is an amazing research tool One of New Zealand’s most important data assets is the integrated data infrastructure: “The Integrated Data Infrastructure (IDI) is a large research database containing micro... [Read more...]

GitHub Pages’ built-in Jekyll support makes it very easy for techie types to deploy static web sites. Simply push your plain text Markdown content to a repository and the server-side Jekyll engine will render it for the web. Markdown is good, but R Markdown is even better, assuming we ever ... [Read more...]

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After President Trump declared that the U.S. was pulling out of the Paris agreement on climate change, the New York Times and Washington Post published a couple of stories. In these stories, they included a few charts. They caught my eye and I wanted to see whether I could ... [Read more...]

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Partial Least Squares (PLS) is a popular method for relative importance analysis in fields where the data typically includes more predictors than observations. Relative importance analysis is a general term applied to any technique used for... [Read more...]

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Here is an absolutely horrible way to confuse yourself and get an inflated reported R-squared on a simple linear regression model in R. We have written about this before, but we found a new twist on the problem (interactions with categorical variable encoding) which we would like to call out ... [Read more...]

In my early post (https://statcompute.wordpress.com/2017/01/22/monotonic-binning-with-smbinning-package/), I wrote a monobin() function based on the smbinning package by Herman Jopia to improve the monotonic binning algorithm. The function works well and provides robust binning outcomes. However, there are a couple potential drawbacks due to the coarse binning. First ... [Read more...]

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In the exercises below we cover the some useful features of data.table ,data.table is a library in R for fast manipulation of large data frame .Please see the data.table vignette before trying the solution .This first set is intended for the begineers of data.table package and ... [Read more...]

To view the original source code, you can visit my Github page here. If you are interested in learning more about my background, you can visit […] The post Retailers: Here's What Your Employees Are Saying About You - A Project on Web Scraping Indeed.com appeared first on NYC Data ... [Read more...]

At the R/Finance conference last month, I demonstrated how to operationalize models developed in Microsoft R Server as web services using the mrsdeploy package. Then, I used that deployed model to generate predictions for loan delinquency, using a Python script as the client. (You can see slides here, and ... [Read more...]

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 way neurons process information, those kinds of algorithm have long been believe to be only an academic curiosity, deprived of practical ... [Read more...]