October, 2018 | R-bloggers

Thoughts on the NHS-R conference

October 30, 2018 | HighlandR

It’s been a few weeks since the first NHS-R conference was held in Birmingham. I co-presented a couple of workshops with Neil Pettinger on visualising patient flow, covering the following importing from Excel (and connecting to SQ... [Read more...]

Le Monde puzzle [#1072]

October 30, 2018 | xi'an

The penultimate Le Monde mathematical puzzle competition problem is once again anti-climactic and not worth its points: For the figure below [not the original one!], describing two (blue) half-circles intersecting with a square of side 20cm, and a (orange) quarter of a circle with radius 20cm, find the radii of ...

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Use Pseudo-Aggregators to Add Safety Checks to Your Data-Wrangling Workflow

October 30, 2018 | John Mount

One of the concepts we teach in both Practical Data Science with R and in our theory of data shaping is the importance of identifying the roles of columns in your data. For example, to think in terms of multi-row records it helps to identify: Which columns are keys (together ... [Read more...]

Introducing the goalmodel R package

October 30, 2018 | opisthokonta

I have written a lot about different models for forecasting football results, and provided a lot of R code along the way. Especially popular are my posts about the Dixon-Coles model, where people still post comments, four years since I … Continue reading → [Read more...]

R-bloggers weekly – most loved R posts from last week (2018-10-21 till 2018-10-27)

October 30, 2018 | Tal Galili

What are the best R posts to read from last week? To help you decide, here is a list of the top R posts, sorted based on the number of likes they got on twitter, enjoy : [Read more...]

Creating factors and re-ordering factor levels in R

October 30, 2018 | Holly Emblem

“Letter buttons on an old, dirty jukebox.” by Diomari Madulara on UnsplashWhen working with data in R, you might want to convert numeric values into factors for easier exploratory data analysis or model building. You might also wish to control the...

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Data + Art STEAM Project: Final Results

October 30, 2018 | Laura Ellis

The final results of the Data + Art STEAM project with Forest Hill Junior and Senior Public School in Toronto!

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Site Migration

October 30, 2018 | Marcelo S. Perlin

- Its been almost two years since I first hosted this blog as an alternative outlet of my writings. Everything is currently being built using jekyll and hosted in github. It works fine but I want to have more control over the dep... [Read more...]

Are petrol prices in Australia fair?

October 30, 2018 | Alex

Petrol is a product that used by most of Australians. So people are pretty sensitive to price changes, especially when the fuel become more expensive. With prices reaching $1.6 for unleaded the debates are becoming more and more hot. Are greedy petrol traders ripping off Australians or the price changes… The ...

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Machine Learning Basics – Random Forest

October 29, 2018 | Dr. Shirin Glander

A few colleagues of mine and I from codecentric.ai are currently working on developing a free online course about machine learning and deep learning. As part of this course, I am developing a series of videos about machine learning basics - the first v...

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Arnaub Chatterjee discusses artificial intelligence (AI) and machine learning (ML) in healthcare.

October 29, 2018 | Hugo Bowne-Anderson

Hugo Bowne-Anderson, the host of DataFramed, the DataCamp podcast, recently interviewed Arnaub Chatterjee, Senior Expert and Associate Partner in the Pharmaceutical and Medical Products group at McKinsey & Company. Here is the podcast link. Introducing Arnaub Chatterjee Hugo: Arnaub, I'm really excited to have you here today to talk about the ...

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Bootstrap Testing with MCHT

October 29, 2018 | ntguardian

Introduction Now that we’ve seen MCHT basics, how to make MCHTest() objects self-contained, and maximized Monte Carlo (MMC) testing with MCHT, let’s now talk about bootstrap testing. Not much is different when we’re doing bootstrap testing; the main difference is that the replicates used to generate test ...

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Data Science With R Course Series – Week 7

October 29, 2018 | business-science.io - Articles

After week 7, you will be able to communicate confidently which model features are the most important. Interpretability is a very important topic in machine learning. The automated machine learning tool, H2O, makes a data scientist’s life easier, ho... [Read more...]

About a Curious Feature and Interpretation of Linear Regressions

October 29, 2018 | Economics and R - R posts

A small blog post with a riddle, simulation, theory and a concluding rhyme. Consider a fictitious example in which we have collected a sample of somewhat overweight persons for which we measured weight in kg as $y$ and height in cm as $x$. We estimate the following simple linear regression: ... [Read more...]

crfsuite for natural language processing

October 29, 2018 | Super User

A new R package called crfsuite supported by BNOSAC landed safely on CRAN last week. The crfsuite package (https://github.com/bnosac/crfsuite) is an R package specific to Natural Language Processing and allows you to easily build and apply models for named entity recognition text chunking part of speech ... [Read more...]

Polygon labeling with polylabelr

October 28, 2018 | R on Johan Larsson

Labeling Euler diagram overlaps The purpose of my R package eulerr is to fit and visualize Euler diagrams. Besides the various intricacies involved in fitting the diagrams, there are many interesting problems involved in their visualization. One of these is the labeling of the overlaps. Naturally, simply positioning the labels ...

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Polygon labeling with polylabelr

October 28, 2018 | R on Johan Larsson

Labeling Euler diagram overlaps The purpose of my R package eulerr is to fit and visualize Euler diagrams. Besides the various intricacies involved in fitting the diagrams, there are many interesting problems involved in their visualization. One of these is the labeling of the overlaps. Naturally, simply positioning the labels ...

[Read more...]

Analysis essentials: An example directory structure for an analysis using R

October 28, 2018 | Very statisticious on Very statisticious

There are a lot of practical skills involved in doing an analysis that are essential but that I rarely (never?) see included in the curriculum, statistics or otherwise. These are skills like how to organize your data, how to approach QAQC, and how to set up a naming algorithm for ... [Read more...]

Real estate value analysis

October 28, 2018 | Neonira

French government provides from time to time some data sets that are worth the analysis. A friend, gave me this real estate data set, for analysis. Data overview After the download of this file, that weights less than 200kb, many things appear at fir...