Gold-Mining – Week 2 (2017)
Week 2 Gold Mining and Fantasy Football Projection Roundup now available. Go get that free agent gold!
The post Gold-Mining – Week 2 (2017) appeared first on Fantasy Football Analytics.
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September 2017
Brazilian Yield Curve
The latest version of GetTDData offers function get.yield.curve to
download the current Brazilian yield curve directly from
Anbima. The yield curve is
a financial tool that shows how, based on current prices of fixed income
instru... [Read more...]
ggpubr: Create Easily Publication Ready Plots
The ggpubr R package facilitates the creation of beautiful ggplot2-based graphs for researcher with non-advanced programming backgrounds.
The current material presents a collection of articles for simply creating and customizing publication-ready... [Read more...]
Hosting a Plumber API on AWS
I’ve been putting together a small proof-of-concept API using R and plumber. It works flawlessly on my local machine and I was planning on deploying it on an EC2 instance to demo it for a client. However, I ran into a snag: despite opening the required port in my ...
RcppMsgPack 0.2.0
A new and much enhanced version of RcppMsgPack arrived on CRAN a couple of days ago. It came together following this email to the r-package-devel list which made it apparent that Travers Ching had been working on MessagePack converters for R which re... [Read more...]
RcppRedis 0.1.8
A new minor release of RcppRedis arrived on CRAN last week, following the release 0.2.0 of RcppMsgPack which brought the MsgPack headers forward to release 2.1.5. This required a minor and rather trivial change in the code. When the optional RcppMsgP... [Read more...]
Revisiting Readability With RStudio
I’ve blogged about my in-development R package hgr a before and it’s slowly getting to a CRAN release. There are two new features to it that are more useful in an interactive session than in a programmatic context. Since they build on each other, we’ll take them ...
Build a R package for yourself
A R user can benefit a lot from building packages. I have read people writing about the benefit in various occasions and cannot agree more after building my first package. We don’t have to a be R developer to write packages. Developers write packages for others; we can just ... [Read more...]
Announcing lime – Explaining the predictions of black-box models
I’m very pleased to announce that lime has been released on CRAN. lime is an implementation of the model prediction explanation framework described in “Why Should I Trust You?”: Explaining the Predictions of Any Classifier paper. The authors of the paper have developed a Python implementation and while the ...
Announcing lime – Explaining the predictions of black-box models
I’m very pleased to announce that lime has been released on CRAN. lime is an
implementation of the model prediction explanation framework described in
“Why Should I Trust You?”: Explaining the Predictions of Any Classifier
paper. The authors o... [Read more...]
Moving my blog to blogdown
It’s been a long time coming but I finally moved my blog from Jekyll/Bootstrap on Github pages to blogdown, Hugo and Netlify! Moreover, I also now have my own domain name www.shirin-glander.de. :-)
I followed the blogdown ebook to set up my blog. I ... [Read more...]
Survival Analysis – Part I
In this article I am going to talk about the non-parametric techniques used for survival analysis. To comprehend this article effectively, you’ll need basic understanding of probability, statistics and R. If you have any questions regarding the concept or the code, feel free to comment, I’ll be more ...
Anonymous Functions in R and Python
Contrasting anonymous functions in R and Python. An overview of how to use them and conventions of how anonymous functions are used in the R and Python communities. [Read more...]
Anonymous Functions in R and Python
What's in a name? That which we call a rose by any other name would smell as sweet.
Normal functions
Before moving to anonymous functions, let's start with what normal functions look like.
In R
# Define a function
functionName [Read more...]
Data wrangling : Cleansing – Regular expressions (3/3)
Data wrangling is the process of importing, cleaning, and transforming raw data into actionable information for analysis. It is a time-consuming process that is estimated to take about 60-80% of analysts’ time. In this series, we will go through this process. It will be a brief series with the goal ... [Read more...]
New R user community in Grenoble, France
Nine R user communities already exist in France and there is a much large number of R communities around the world. It was time for Grenoble to start its own! The goal of the R user group is to facilitate the identification of local useRs, to initiate contacts, and to ... [Read more...]
New R Live Courses in Milan! Autumn term calendar
Starting from October, our new live R courses are available to everyone! We have updated them to the latest R functionalities and organized them to ideally form a complete data science path with R: either you seek R introduction or R developer tools, statistical models or Big Data, Shiny dashboards ... [Read more...]
Building rich analytic web apps has never been easier
We’re entering a golden age of the “analytics developer.” Cutting edge companies like AirBnB, Apple, and S&P are no longer buying off-the-shelf BI software. Instead, they build their own targeted BI platforms that succeed where traditional Big BI falls flat: Agility, collaboration, browser experience, and web-based data visualization. ... [Read more...]
caret Cheatsheet
It can be found on the RStudio cheatsheet page. Suggestions and pull requests are always welcome.
officer version 0.1.6
It’s time to announce the release of officer version 0.1.6. It allows to generate Microsoft documents from R; supported formats are Word and PowerPoint. It does come with other new packages1:
flextable: produces sophisticated tables.
rvg: produces vector graphics for PowerPoints
mschart: produces native Microsoft charts
Package officer is the ...
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