Coming soon: tibble 2.0.0
Version 2.0.0 of the tibble package is almost ready for release. Tibbles are a modern reimagining of the data frame, keeping what time has shown to be effective, and throwing...continue reading.
R News from another blog for R community
Tidyverse developer day 2019
On the Saturday following rstudio::conf, we’ll be holding our first ever tidyverse developer day! ? When: 19 January, 9 am – 4 pm ? Where: The Sunset Room, just a...continue reading.
parsnip
The parsnip package is now on CRAN. It is designed to solve a specific problem related to model fitting in R, the interface. Many functions have different interfaces and arguments...continue reading.
styler 1.1.0
styler 1.1.0 is now available on CRAN. This release introduces new features and is fully backward-compatible. It also adapts to changes in the R parser committed into R devel (#419)....continue reading.
Slack and Plumber, Part Two
This is the final entry in a three-part series about the plumber package. The first post introduces plumber as an R package for building REST API endpoints in R. The...continue reading.
Using clustering to find points in an image
In this post, I present my new package {img2coord}. This package can be used to retrieve coordinates from a scatter plot (as an image). devtools::install_github("privefl/img2coord") Have you ever made a...continue reading.
styler 1.1.0
styler 1.1.0 is now available on CRAN. This release introduces new features and is fully backward-compatible. It also adapts to changes in the R parser committed into R devel (#419)....continue reading.
How to use facet_grid in ggplot2
This tutorial will show you how to use facet_grid in ggplot2. Specifically, it will show you how to use facet_grid to create small multiple charts. facet_grid is fairly easy to...continue reading.
AzureRMR: an R interface to Azure Resource Manager
In a previous article I announced AzureR, a new family of packages for working with Azure from R. This article goes into more detail on how you can use AzureRMR,...continue reading.
Open Workshop: Data Visualization in R and ggplot2, January 25th in Munich
The first time we at STATWORX are organizing a workshop for anyone who wants to learn more about data and graphics. Our “Data Visualization in R and ggplot2” workshop is...continue reading.
R Weekly 2018-48 ozunconf18
Hello and welcome to this new issue! Highlight RStudio 1.2 Preview: The Little Things ozunconf18 – R OpenSci ozunconference 2018 Projects Insights R > Python: a Concrete Example Checklist Recipe...continue reading.
Statistics Sunday: Introduction to Regular Expressions
In my last Statistics Sunday post, I briefly mentioned the concept of regular expressions, also known as regex (though note that in some contexts, these refer to different things -...continue reading.
Improving Binning by Bootstrap Bumping
In the post (https://statcompute.wordpress.com/2018/11/23/more-robust-monotonic-binning-based-on-isotonic-regression), a more robust version of monotonic binning based on the isotonic regression was introduced. Nonetheless, due to the loss of granularity, the predictability has been somewhat...continue reading.
A tutorial on tidy cross-validation with R
Introduction This blog posts will use several packages from the {tidymodels} collection of packages, namely {recipes}, {rsample} and {parsnip} to train a random forest the tidy way. I will also...continue reading.
Entity embeddings for fun and profit
Embedding layers are not just useful when working with language data. As “entity embeddings”, they’ve recently become famous for applications on tabular, small-scale data. In this post, we exemplify two...continue reading.
A tutorial on tidy cross-validation with R
Introduction This blog posts will use several packages from the {tidymodels} collection of packages, namely {recipes}, {rsample} and {parsnip} to train a random forest the tidy way. I will also...continue reading.
Polished statistical analysis chapters in evidence-based software engineering
I have completed the polishing/correcting/fiddling of the eight statistical analysis related chapters of my evidence-based software engineering book, and an updated draft pdf is now available (download here). The material...continue reading.
lmer vs INLA for variance components
Just for fun, I decided to compare the estimates from lmer and INLA for the variance components of an LMM (this isn’t really something that you would ordinarily do –...continue reading.
More Robust Monotonic Binning Based on Isotonic Regression
Since publishing the monotonic binning function based upon the isotonic regression (https://statcompute.wordpress.com/2017/06/15/finer-monotonic-binning-based-on-isotonic-regression), I’ve received some feedback from peers. A potential concern is that, albeit improving the granularity and predictability, the...continue reading.
Creating List with Iterator
In the post (https://statcompute.wordpress.com/2018/11/17/growing-list-vs-growing-queue), it is shown how to grow a list or a list-like queue based upon a dataframe. In the example, the code snippet was heavily relied on...continue reading.
