Develop Performance Benchmark with GRNN

It has been mentioned in https://github.com/statcompute/GRnnet that GRNN is an ideal approach employed to develop performance benchmarks for a variety of risk models. People might wonder what the purpose of performance benchmarks is and why we would even need one at all. Sometimes, a model developer had to answer questions about how well the model … Read moreDevelop Performance Benchmark with GRNN

Posts

[This article was first published on Random R Ramblings, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Related If you got this far, why not subscribe for updates … Read morePosts

RSwitch 1.5.0 Release Now Also Corrals RStudio Server Connections

[This article was first published on R – rud.is, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. RSwitch is a macOS menubar application that works on macOS 10.14+ … Read moreRSwitch 1.5.0 Release Now Also Corrals RStudio Server Connections

September 2019 Democratic Debates Added to {ggchicklet}

[This article was first published on R – rud.is, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. The latest round of the 2020 Democratic debates is over and … Read moreSeptember 2019 Democratic Debates Added to {ggchicklet}

Tell Me a Story: How to Generate Textual Explanations for Predictive Models

TL;DR: If you are going to explain predictions for a black box model you should combine statistical charts with natural language descriptions. This combination is more powerful than SHAP/LIME/PDP/Break Down charts alone. During this summer Adam Izdebski implemented this feature for explanations generated in R with DALEX library. How he did it? Find out here: … Read moreTell Me a Story: How to Generate Textual Explanations for Predictive Models

Getting on the meet-up bandwagon – our first meet up event

My company Draper and Dash have tasked me with organising a wider meet-up event for anyone who is interested in AI / ML in healthcare. This wider working group consists of people from different sectors, however they are interested in how we can apply AI / ML methods in their organisations. Why did we choose … Read moreGetting on the meet-up bandwagon – our first meet up event

Regex Problem? Here’s an R package that will write Regex for you

REGEX is that thing that scares everyone almost all the time. Hence, finding some alternative is always very helpful and peaceful too. Here’s a nice R package thst helps us do REGEX without knowing REGEX. REGEX This is the REGEX pattern to test the validity of a URL: ^(http)(s)?(\:\/\/)(www\.)?([^\ ]*)$ A typical regular expression contains — Characters … Read moreRegex Problem? Here’s an R package that will write Regex for you

Fitting ‘complex’ mixed models with ‘nlme’: Example #2

Let’s imagine a field experiment, where different genotypes of khorasan wheat are to be compared under different nitrogen (N) fertilisation systems. Genotypes require bigger plots, with respect to fertilisation treatments and, therefore, the most convenient choice would be to lay-out the experiment as a split-plot, in a randomised complete block design. Genotypes would be randomly … Read moreFitting ‘complex’ mixed models with ‘nlme’: Example #2

Social Network Visualization with R

In this month’s we are going to look at data analysis and visualization of social networks using R programming. Social Networks – Data Visualization Friendster Networks Mapping Friendster was a yesteryear social media network, something akin to Facebook. I’ve never used it but it is one of those easily available datasets where you have a … Read moreSocial Network Visualization with R

Survival analysis with strata, clusters, frailties and competing risks in in Finalfit

[This article was first published on R – DataSurg, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Background In healthcare, we deal with a lot of binary outcomes. … Read moreSurvival analysis with strata, clusters, frailties and competing risks in in Finalfit

Use more of your data with matrix factorisation

Previously I posted on how to apply gradient descent on linear regression as an example. With that as background it’s relatively easy to extend the logic to other problems. One of those is matrix factorisation. There are many ways to factorise a matrix into components such as PCA, singular value decomposition (SVD), but one way … Read moreUse more of your data with matrix factorisation

Call for Help: Lead R/Shiny Developer

Dear Fantasy Football Analytics Community, In 2013, we at Fantasy Football Analytics released web apps to help people make better decisions in fantasy football based on the wisdom of the crowd. Over the past six years, the community response has been incredibly supportive, and we continually improved the apps in response to user feedback. The … Read moreCall for Help: Lead R/Shiny Developer

Running R Projects in MyBinder – Dockerfile Creation With Holepunch

For those who don’t know it, MyBinder is a reproducible research automation tool that will take the contents of a Github repository, build a Docker container based on requirements files found inside the repo, and then present the user with a temporary, running container that can serve a Jupyter notebook, JupyterLab or RStudio environment to … Read moreRunning R Projects in MyBinder – Dockerfile Creation With Holepunch

R comes to oil + gas

[This article was first published on R – Modern Data, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Tools capable of producing rich analytic reports and data visualizations … Read moreR comes to oil + gas

Looking Up R / CRAN Package Maintainers With an ac.uk Affiliation

Trying to find an examiner for a particular PhD thesis relating to a rather interesting datastructure for wrangling messy datatables, I wondered whether we might find a likely suspect amongst the R package maintainer community. We can get a list of R package maintainers here and a list of package name / short descriptions here. … Read moreLooking Up R / CRAN Package Maintainers With an ac.uk Affiliation

Is the pain worth it?: Can Rcpp speed up Passing Bablok Regression?

[This article was first published on The Lab-R-torian, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Background R dogma is that for loops are bad because they are … Read moreIs the pain worth it?: Can Rcpp speed up Passing Bablok Regression?

auditor: a guided tour through residuals

To illustrate application of auditor we will use dataset “dragons” available in the DALEX package. The dataset contains characteristics of fictional creatures (dragons), like year of birth, height, weight, etc (see below). The goal is to predict the length of life of dragons (a regression problem). Models First, we need models to compare. We selected … Read moreauditor: a guided tour through residuals

parameters: a powerful and lightweight alternative to broom to describe your models’ coefficients

[This article was first published on R on easystats, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Okay, “an alternative to broom” might be a bit of an … Read moreparameters: a powerful and lightweight alternative to broom to describe your models’ coefficients

Best Practice: Development of Robust Shiny Dashboards as R Packages

[This article was first published on INWT-Blog-RBloggers, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. This blog article is dedicated to creating dashboards. Dashboards are an excellent interactive … Read moreBest Practice: Development of Robust Shiny Dashboards as R Packages

R Neural Network

In the previous four posts I have used multiple linear regression, decision trees, random forest, gradient boosting, and support vector machine to predict MPG for 2019 vehicles.   It was determined that svm produced the best model.  In this post I am going to use the neuralnet package to fit a neural network to the … Read moreR Neural Network

Parsing Text for Emotion Terms: Analysis & Visualization Using R: Updated Analysis

Category Tags The motivation for an updated analysis: The first publication of Parsing text for emotion terms: analysis & visualization Using R published in May 2017 used the function get_sentiments(“nrc”) that was made available in the tidytext package. Very recently, the nrc lexicon was dropped from the tidytext package and hence the R codes in … Read moreParsing Text for Emotion Terms: Analysis & Visualization Using R: Updated Analysis

Was Trump confused by rainbow color map?

[This article was first published on Achim Zeileis, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. In the controversy over Hurricane Dorian, US President Donald Trump repeatedly claimed … Read moreWas Trump confused by rainbow color map?

pinp 0.0.8: Bugfix

[This article was first published on Thinking inside the box , and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. A new release of our pinp package is now … Read morepinp 0.0.8: Bugfix

An updated version of The Hitchhiker’s Guide to Ggplot2

[This article was first published on Pachá, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. This book will help you master R plots the easy way, and this … Read moreAn updated version of The Hitchhiker’s Guide to Ggplot2

Hyde Mod: A blogdown theme with full XML feed and custom MathJax for equation numbering

[This article was first published on Pachá, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. I’ve been using hyde theme for a while. Besides colours, I added some … Read moreHyde Mod: A blogdown theme with full XML feed and custom MathJax for equation numbering

First World Problems: Very long RMarkdown documents

RMarkdown is awesome! When I first started using RMarkdown, it felt very much like a blessing. Not only does the format encourage reproducible analysis by enabling you to interweave code, text, images, and plots, it also allows you to knit() the document into so many different formats, including static HTML, MS Word, PowerPoint, PDF – … Read moreFirst World Problems: Very long RMarkdown documents

Practical Experiment Fundamentals All Data Scientists Should Know

A How-to for Non-Parametric Power Analyses, p-values, Confidence Intervals, Checking for Bias Code Setup R for Data Science is a free, amazing read to learn how to use the tidyverse code used in this post. # purrr in parallellibrary(furrr)# Read R for Data Science if you haven’t# to learn about the tidyverselibrary(tidyverse)# process in parallelplan(multiprocess) … Read morePractical Experiment Fundamentals All Data Scientists Should Know

R Companion to Linear Algebra Step by Step, Chapter 2 part 1

[This article was first published on R – Detroit Data Lab, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. In this post, I’ll continue writing R code to … Read moreR Companion to Linear Algebra Step by Step, Chapter 2 part 1