January, 2018 | R-bloggers

Sketchnotes from TWiML&AI #91: Philosophy of Intelligence with Matthew Crosby

January 13, 2018 | Dr. Shirin Glander

These are my sketchnotes for Sam Charrington’s podcast This Week in Machine Learning and AI about Philosophy of Intelligence with Matthew Crosby: You can listen to the podcast here. This week on the podcast we’re featuring a series of conversa...

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P-values from random effects linear regression models

January 13, 2018 | Ewen Harrison

[crayon-5a5ad6bfdb9ea208679487-i/] is a useful frequentist approach to hierarchical/multilevel linear regression modelling. For good reason, the model output only includes t-values and doesn’t include p-values (partly due to the difficulty in estimating the degrees of freedom, as discussed here). Yes, p-values are evil and ... [Read more...]

Setting up RStudio Server quickly on Amazon EC2

January 13, 2018 | John Mount

I have recently been working on projects using Amazon EC2 (elastic compute cloud), and RStudio Server. I thought I would share some of my working notes. Amazon EC2 supplies near instant access to on-demand disposable computing in a variety of sizes (billed in hours). RStudio Server supplies an interactive user ...

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Queueing Notation

January 12, 2018 | R on Thomas Roh

Queueing theory has some commonly accepted shorthand to describe characteristics of queuing models. Although across books and peer reviewed articles you will see slight variations, this post outlines commonly accepted terms for reference. Kendall’s Notation Kendall’s notation was proposed as a standard for describing queueing models. You may ...

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Replicating Volatiltiy ETN Returns From CBOE Futures

January 12, 2018 | Ilya Kipnis

This post will demonstrate how to replicate the volatility ETNs (XIV, VXX, ZIV, VXZ) from CBOE futures, thereby allowing any … Continue reading →

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Services and tools for building intelligent R applications in the cloud

January 12, 2018 | Blog Administrator

by Le Zhang (Data Scientist, Microsoft) and Graham Williams (Director of Data Science, Microsoft) As an in-memory application, R is sometimes thought to be constrained in performance or scalability for enterprise-grade applications. But by deploying R in a high-performance cloud environment, and by leveraging the scale of parallel architectures and ... [Read more...]

Making Your .C Less NOTEworthy

January 12, 2018 | MeanMean

If you are a package maintainer, you may have noticed the following new notes from your code checks: Found no calls to: ‘R_registerRoutines’, ‘R_useDynamicSymbols’ If you are using Rcpp you can easily fix this by refreshing the auto-generated function registration. However, if you have a lot of C ...

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Making Your .C Less NOTEworthy

January 11, 2018 | MeanMean

If you are a package maintainer, you may have noticed the following new notes from your code checks: Found no calls to: ‘R_registerRoutines’, ‘R_useDynamicSymbols’ If you are using Rcpp you can easily fix this by refreshing the auto-generated function registration. However, if you have a lot of C ...

[Read more...]

How to implement neural networks in R

January 11, 2018 | David Smith

If you've ever wondered how neural networks work behind the scenes, check out this guide to implementing neural networks in scratch with R, by David Selby. You may be surprised how with just a little linear algebra and a few R functions, you can train a function that classifies the ... [Read more...]

Exploring Japan’s Postwar Economic Miracle with gganimate, tweenr, & highcharter!

January 11, 2018 | R by R(yo)

In this blog post I weave in gganimate, tweenr, and highcharter plots while exploring the American policies that aided Japan’s postwar economic miracle! Back in college, I wrote a paper on this subject for my United States Econo... [Read more...]

Churn Analysis – Part 2: Indicators

January 11, 2018 | rdata.lu Blog | Data science with R

Hello everyone, In the last post we have decided to continue our study with the logistic regression. We have obtained the following ROC curve with an area under the curve (AUC) of 0.843. Now we imagine 2 scenarios. In the first one, we suppose we have a large budget and we want ... [Read more...]

Churn Analysis: Indicators (Part 2)

January 11, 2018 | rdata.lu Blog | Data science with R

Hello everyone, In the last post we have decided to continue our study with the logistic regression. We have obtained the following ROC curve with an area under the curve (AUC) of 0.843. Now we imagine 2 scenarios. In the first one, we suppose we have a large budget and we want ... [Read more...]

Fitting a TensorFlow Linear Classifier with tfestimators

January 11, 2018 | R Views

In a recent post, I mentioned three avenues for working with TensorFlow from R: * The keras package, which uses the Keras API for building scaleable, deep learning models * The tfestimators package, which wraps Google’s Estimators API for fitting models with pre-built estimators * The tensorflow package, which provides an interface ...

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.rprofile: Karthik Ram

January 11, 2018 | rOpenSci - open tools for open science

Karthik Ram is a Data Scientist at the Berkeley Institute for Data Science and Berkeley Institute for Global Change Biology. He is a co-founder of rOpenSci, a collective to support the development of R-based tools which facilitate open science and access to open data. In this interview, Karthik and I ...

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Deep Learning from first principles in Python, R and Octave – Part 2

January 11, 2018 | Tinniam V Ganesh

“What does the world outside your head really ‘look’ like? Not only is there no color, there’s also no sound: the compression and expansion of air is picked up by the ears, and turned into electrical signals. The brain then presents these signals to us as mellifluous tones and ...

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Introducing editheme: Palettes and graphics matching your RStudio editor

January 11, 2018 | Francois Keck

I use RStudio every day at work. And every day my eyes say thank you to the developers for implementing themes support for the editor, and more recently a complete dark skin for the GUI. Dark themes are not only important for your health and the health of the planet. ...

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Last day: Data science courses in R (/python/etc.) for $11 at Udemy (New Year sale)

January 11, 2018 | Tal Galili

<img src=' [Read more...]

R jumps to 8th position in TIOBE language rankings

January 10, 2018 | David Smith

The R language surged to 8th place in the 2017 TIOBE language rankings, up 8 places from a year before. Fellow data science language language Python also saw an increase in rankings, taking the 4th spot (one ahead of its January 2016 ranking). (Click the table for the current top 20 rankings.) TIOBE ranks ... [Read more...]

flextable 0.4.0 is out

January 10, 2018 | ArData

The package flextable is existing since mid 2016 and I did not made any communication about it; obviously if I wrote it, I’d like it to be used by R users! That post is an attempt to fix that. The flextable package makes it simpler to create tables for reporting ...

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Bayesian Binomial Test in R

January 10, 2018 | Silent Spring Institute Developer Blog

Summary: in this post, I implemenent an R function for computing $ P(\theta_1 __ \theta2) $, where $ \theta_1 $ and $ \theta_2 $ are beta-distributed random variables. This is useful for estimating the probability that one binomial proportion is greater than another. I am working on a project in which I need to compare two ... [Read more...]

R-bloggers

R news and tutorials contributed by hundreds of R bloggers

January 2018

Sketchnotes from TWiML&AI #91: Philosophy of Intelligence with Matthew Crosby

P-values from random effects linear regression models

Setting up RStudio Server quickly on Amazon EC2

Queueing Notation

Replicating Volatiltiy ETN Returns From CBOE Futures

Services and tools for building intelligent R applications in the cloud

Making Your .C Less NOTEworthy

Making Your .C Less NOTEworthy

How to implement neural networks in R

Exploring Japan’s Postwar Economic Miracle with gganimate, tweenr, & highcharter!

Churn Analysis – Part 2: Indicators

Churn Analysis: Indicators (Part 2)

Fitting a TensorFlow Linear Classifier with tfestimators

.rprofile: Karthik Ram

Deep Learning from first principles in Python, R and Octave – Part 2

Introducing editheme: Palettes and graphics matching your RStudio editor

Last day: Data science courses in R (/python/etc.) for $11 at Udemy (New Year sale)

R jumps to 8th position in TIOBE language rankings

flextable 0.4.0 is out

Bayesian Binomial Test in R

January 2018

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