![Le Monde puzzle [#1063]](https://xianblog.files.wordpress.com/2015/10/lemondapari.jpeg?w=450)
A simple (summertime?!) arithmetic Le Monde mathematical puzzle A “powerful integer” is such that all its prime divisors are at least with multiplicity 2. Are there two powerful integers in a row, i.e. such that both n and n+1 are powerful? Are there odd integers n such that n² – 1 is a powerful integer
In case you missed them, here are some articles from July of particular interest to R users. A program to validate quality and security for R packages: the Linux Foundation's CII Best Practices Badge Program. R scripts to generate images in the style of famous artworks, like Mondrian's. A 6-minute video tour of the AI and Machine Learning services...
Click here to access the map 1 - Background and motivation During the last few years, the sharing economy has become more and more ubiquitous, from taxi riding applications to DIY and so on. The Real Estate market is no exception and in the Hotels and Hospitality sector we have seen more of these examples.
The problem Consider a case where we have a bag of marbles of size . The bag consists of black The post Probability of Selecting Matched Pairs and the Hypergeometric Distribution appeared first on Daniel Oehm | Gradient Descending.
Python retains its top spot in the fifth annual IEEE Spectrum top programming language rankings, and also gains a designation as an "embedded language". Data science language R remains the only domain-specific slot in the top 10 (where it as listed as an "enterprise language") and drops one place compared to its 2017 ranking to take the #7 spot....
I have a dashboard at work that plots the number of contracts my office handles over time, and I wanted to add a trendline to show growth. However, trendline on the entire dataset skews low because our fiscal year just restarted. It took a little trial and error to figure out how to exclude the most recent year’s count...
We are sorry to report that we recently discovered a nasty bug (or rather, a stupid mistake…) in the MODIStsp package. The bug led to improper computation of custom spectral indices in the case that their formula included addition or subtraction oper...
We are happy to report that our MODIStsp package for automatic preprocessing of MODIS time series has been recently approved for being included in the rOpenSci ecosystem of R packages for reproducible science! We wish to thank reviewers Leah Wasser and...
In this technote I will outline what phylotaR was developed for, how to install it and how to run it with some simple examples. What is phylotaR? In any phylogenetic analysis it is important to identify sequences that share the same orthology – homologous sequences separated by speciation events. This is often performed by simply searching an online sequence repository using...
This blog post illustrates the new functionality of the OpenImageR package (Gabor Feature Extraction). The Gabor features have been used extensively in image analysis and processing (Character and Face recognition). Gabor (Nobel prize winner,...
Highlighting Specific Cases in ggplot2 Here's my belated Statistics Sunday post, using a cool technique I just learned about: gghighlight. This R package works with ggplot2 to highlight a subset of data. To demonstrate, I'll use a dataset I analyzed for a previous post about my 2017 reading habits. [Side note: My reading goal for this year is...
Derek Jones recently discussed a possible future for the R ecosystem in “StatsModels: the first nail in R’s coffin”. This got me thinking on the future of CRAN (which I consider vital to R, and vital in distributing our work) in the era of super-popular meta-packages. Meta-packages are convenient, but they have a profoundly negative … Continue reading Meta-packages,...
I recently attended the 2018 Association of Public Data Users (APDU) conference. This was my second time attending the conference, and I enjoyed learning more... The post Notes from the 2018 APDU Conference appeared first on AriLamstein.com.
Three months have passed since the initial release of on CRAN. I would not say that the package develops like crazy, but there have been some changes since May. Let’s have a look. We start by loading both and : Rolling Origin First of all, function now has its own class
One of the few remaining hurdles when working with R in the enterprise is consistent access to CRAN. Often desktop class systems will have unrestricted access while server systems might not have any access at all. This inconsistency often stems from security concerns about allowing servers access to the internet. There have been many different approaches to solving this...
The possibility of saving several tables in a single file is a nice feature of Excel. When sharing results with colleagues, it might be useful to compact everything in a single file. As a bioinformatician, I am too lazy to do that manually, and I searched the web for tools that allow doing that. I
ShinyProxy is a novel, open source platform to deploy Shiny apps for the enterprise or larger organizations. Embedding Shiny Apps Although Shiny apps are very popular for interactive data analysis purposes, many organizations communicated a need to more closely integrate these apps within larger applications and portals. In previous releases we broke down the walls to make this happen: hiding the navbar,...
In a previous post I explained how to install RStudio, a popular integrated development environment for the R programming language. Open up RStudio for the first time and it might look like some mad scientist’s Mission Control. In this post I will walk through each pane and what it does. From this you will start
We were very excited when Home Credit teamed up with Kaggle to host the Home Credit Default Risk Challenge. Default risk is a topic that impacts all financial institutions, one that machine learning can help solve. We decided to flip the goal of this c...
Soccer (football) is one of the world’s most popular sports, played and watched by millions of people all around the world. But while today it is played in virtually every country, it hasn’t always been that way. As you can see in the animated map below, soccer started off as a small sport, segregated to…
Welcome to Part 3 of my series on “Visualizing the World Cup with R”! This is the culmination of this mini project that I've been working on throughout the World Cup (You can check out the Github Repo here). In addition, from having listened to Thomas Pedersen's excellent keynote at UseR! 2018 in Brisbane on Related Post Machine Learning Results...
Join Jenny Bryan and Jim Hester of RStudio for this two-day hands-on workshop designed for experienced R and RStudio users who want to (re)design their R lifestyle! If you’d missed this sold out course at rstudio::conf 2018 now is your chance. Register here: https://www.rstudio.com/workshops/what-they-forgot-to-teach-you-about-r/ In this workshop you’ll learn holistic workflows that address the most common sources of friction in data...
The Joint Statistical Meetings offer an astounding number of talks. It is impossible for an individual to see more than a small portion of what is going on. Even so, a diligent attendee ought to come away with more than a few good ideas. The following are two big ideas that I got from the conference. Session 149, an invited...
eBird is an online tool for recording bird observations. The eBird database currently contains over 500 million records of bird sightings, spanning every country and nearly every bird species, making it an extremely valuable resource for bird research and conservation. These data can be used to map the distribution and abundance of species, and assess how species’ ranges are changing over time. This dataset is...
The R package optimParallel provides parallel versions of the gradient-based optimization methods of optim(). Its main function optimParallel() has the same usage and output as optim() while speeding-up optimization significantly.
Self-organizing maps are an unsupervised learning approach for visualizing multi-dimensional data in a two-dimensional plane. They are great for clustering and finding out correlations in the data. In this post we apply self-organizing maps on historical US stock market data to find out interesting correlations and clusters. We'll use data from Shiller, Goyal and BLS to calculate the historical valuations levels, interest rates, inflation...
Yes, I am finally blogging this. ? This blog post is slighty different, since it brings you the tittle of the book, that my dear friend Julie Koesmarno (blog | twitter) and I have written in and it was published…Read more ›
Here is a link to the podcast. Introducing Amber Thomas Hugo: Hi there, Amber, and welcome to DataFramed. Amber: Hey, hi. Thanks for having me. Hugo: ...
Hi everyone! In this post we’re going to work with time series data, and write R functions to aggregate hourly and daily time series in monthly time series to catch a glimpse of their underlying patterns. For this analysis we’re going to use public meteorological data recorded by the government of the Argentinian province of
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