November 2017
Flip axes in plotly histograms – few approaches
This seems easy as it requires just to change x parameter to y in the plot specification. Well, there are some edge cases where R users might get a in trouble!
library(plotly)
packageVersion('plotly')
[1] '4.7.1'
Before you go, let me just expla... [Read more...]
Rcpp now used by 1250 CRAN packages
Earlier today Rcpp passed 1250 reverse-dependencies on CRAN as another big milestone. The graph is on the left depicts the growth of Rcpp usage (as measured by Depends, Imports and LinkingTo, but excluding Suggests) over time.
Rcpp cleared 300 packa... [Read more...]
Some new time series packages
This week I have finished preliminary versions of two new R packages for time series analysis. The first (tscompdata) contains several large collections of time series that have been used in forecasting competitions; the second (tsfeatures) is designed to compute features from univariate time series data. For now, both are ...
Competition: StanCon 2018 ticket
The prize
How do I enter?
FAQ
Today we are happy to announce our Stan contest. Something we feel very strongly at Jumping Rivers is giving back to the community. We have benefited immensely from hard work by numerous people, so when possible, we ...
An introduction to Monte Carlo Tree Search
Introduction
We recently witnessed one of the biggest game AI events in history – Alpha Go became the first computer program to beat the world champion in a game of Go. The publication can be found here. Different techniques from machine learning and tree search have been combined by developers from ... [Read more...]
An introduction to Monte Carlo Tree Search
Introduction
We recently witnessed one of the biggest game AI events in history – Alpha Go became the first computer program to beat the world champion in a game of Go. The publication can be found here. Different techniques from machine learning and tree search have been combined by developers from ... [Read more...]
Announcing a New rOpenSci Software Review Collaboration
rOpenSci is pleased to announce a new collaboration with the Methods and Ecology and Evolution (MEE), a journal of the British Ecological Society, published by Wiley press 1. Publications destined for MEE that include the development of a scientific R package will now have the option of a joint review process ... [Read more...]
Competition: StanCon 2018 ticket
The prize
How do I enter?
FAQ
Today we are happy to announce our Stan contest. Something we feel very strongly at Jumping Rivers is giving back to the community. We have benefited immensely from hard work by numerous people, so when possible, we ... [Read more...]
Cyber Week Only: Save 50% on DataCamp!
For Cyber Week only, DataCamp offers the readers of R-bloggers over $150 off for unlimited access to its data science library. That’s over 90 courses and 5,200 exercises of which a large chunk are R-focused, plus access to the mobile app, Practice Challenges, and hands-on Projects. All by expert instructors such as ...
How to make Python easier for the R user: revoscalepy
by Siddarth Ramesh, Data Scientist, Microsoft I’m an R programmer. To me, R has been great for data exploration, transformation, statistical modeling, and visualizations. However, there is a huge community of Data Scientists and Analysts who turn to Python for these tasks. Moreover, both R and Python experts exist ... [Read more...]
Quick Round-Up – Visualising Flows Using Network and Sankey Diagrams in Python and R
Got some data, relating to how students move from one module to another. Rows are student ID, module code, presentation date. The flow is not well-behaved. Students may take multiple modules in one presentation, and modules may be taken in any order (which means there are loops…). My first take ...
Secret Santa is a graph traversal problem
Last week at Thanksgiving, my family drew names from a hat for our annual game
of Secret Santa. Actually, it wasn’t a hat but you know what I mean. (Now that I
think about it, I don’t think I’ve ever seen names drawn from a literal hat
... [Read more...]
Vectorized Block ifelse in R
Win-Vector LLC has been working on porting some significant large scale production systems from SAS to R. From this experience we want to share how to simulate, in R with Apache Spark (via Sparklyr), a nifty SAS feature: the vectorized “block if(){}else{}” structure. When porting code from one language ... [Read more...]
#11: (Much) Faster Package (Re-)Installation via Caching
Welcome to the eleventh post in the rarely rued R rants series, or R4 for short. Time clearly flies as it has been three months since out last post on significantly reducing library size via stripping. I had been meaning to post on today's topic for quite some time, but ... [Read more...]
Example Shiny App – Interest Rate Walk
This Shiny app demonstrates the Cox-Ingersoll-Ross interest rate walk and an interest rate walk conducted using a bootstrap resampling technique. The code used to create this app is available on GitHub. Assuming you have the necessary packages installe... [Read more...]
Rule Your Data with Tidy Validation Reports. Design
The story about design of ruler package: dplyr-style exploration and validation of data frame like objects.
Prologue
Some time ago I had a task to write data validation code. As for most R practitioners, this led to exploration of present solutions. I was looking for a package with the following ... [Read more...]
MICE (Multiple Imputation by Chained Equations) in R – sketchnotes from MünsteR Meetup
Last night, the MünsteR R user-group had another great meetup:
Karin Groothuis-Oudshoorn, Assistant Professor at the University of Twente, presented her R package mice about Multivariate Imputation by Chained Equations.
It was a very interesting talk and here are my sketchnotes that I took during it:
MICE talk sketchnotes
... [Read more...]
Building the oomsifyer
Today I will show you a quick hack (OK it took me like 4 hours during my travels today yesterday and today),
on how to add a dancing banana to any picture.
Now, you might be thinking… Really, why would you add a dancing banana to
a picture, but... [Read more...]
Customer Analytics: Using Deep Learning With Keras To Predict Customer Churn
Customer churn is a problem that all companies need to monitor, especially those that depend on subscription-based revenue streams. The simple fact is that most organizations have data that can be used to target these individuals and to understand the key drivers of churn, and we now have Keras for ... [Read more...]
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