General description of transformers functionality in {glue} with some potentially useful examples. Prologue Package {glue} is designed as “small, fast, dependency free” tools to “glue strings to data in R”. To put simply, it provides concise and flexible alternatives for paste() with some additional features:

library(glue)

x <- 10
paste("I have", x, "apples.")
## [1] "I have 10 apples."
glue("I have {x} apples.")
## I have 10 apples.

Recently, fate lead me ... [Read more...]

In my post Installing MapD on Microsoft Azure, I showed how to install MapD Community Edition on Microsoft Azure, using Ubuntu 16.04 LTS as the base image. One thing I glossed over during the firewall/security section was that I opened ports for Jupy... [Read more...]

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FOAAS upstream recently went to release 2.0.0, so here we are catching up bringing you all the new accessors from FOAAS 2.0.0: bag(), equity(), fts(), ing(), particular(), ridiculous(), and shit(). We also added off_with() which was missing previous... [Read more...]

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This  work is still in progres. I think, however, it can already resonate with some people in the community. The communication I am hopeful for should lead to a better design and maybe getting valuable tools faster. The main goal is to extend the base R’s history mechanism (see ?... [Read more...]

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Some more Practical Data Science with R news. Practical Data Science with R is the book we wish we had when we started in data science. Practical Data Science with R, Second Edition is the revision of that book with the packages we wish had been available at that time (... [Read more...]

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Introduction In this summertime post in the case4base series, we will look at useful tools in base R, which let us profile our code without any extra packages needed to be installed. We will cover simple and easy to use speed profiling, more complex profiling of performance and memory ... [Read more...]

Introduction In this summertime post in the case4base series, we will look at useful tools in base R, which let us profile our code without any extra packages needed to be installed. We will cover simple and easy to use speed profiling, more complex profiling of performance and memory ... [Read more...]

The support vector machine (SVM) is a very different approach for supervised learning than decision trees. In this article I will try to write something about the different hyperparameters of SVM. [Read more...]

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