Monthly Archives: April 2019

Meta analysis of multiple multi-omics data… Oy Vey

April 25, 2019
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Meta analysis of multiple multi-omics data… Oy Vey

TL;DR tidy tibbles can contain non-atomic classes. This is a proof of concept demonstration for such implementation with S4 object-oriented classes, for meta-analysis of complex genomic data. Motivation In my previous post I reviewed the evo...

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How to handle CRAN checks with help from R-hub

April 24, 2019
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In this post, we shall introduce CRAN checks in general and use the recent changes of the r-devel-linux-x86_64-debian-clang CRAN platform as a case study of how R-hub can help you, package developers, handle CRAN checks and keep up with CRAN platforms. CRAN checks 101 All CRAN packages are R CMD Check-ed regularly on 12 CRAN platforms called CRAN Package Check Flavors,...

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A Few Old Books

April 24, 2019
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Greg Wilson is a data scientist and professional educator at RStudio. My previous column looked at a few new books about R. In this one, I’d like to explore a few books about programming that people coming from data science backgrounds may not have stumbled upon. The first is Michael Nygard’s Release It!, which more than lives up to its subtitle,...

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Real world tidy interest rate swap pricing

Real world tidy interest rate swap pricing

In this post I will show how easy is to price a portfolio of swaps leveraging the purrr package and given the swap pricing functions that we introduced in a previous post. I will do this in a “real world” environment hence using real market data as per the last 14th of April. Import the discount factors from Bloomberg Let’s start...

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A new image on DigitalOcean to start using RStudio Server without waiting more than 2 minutes

April 24, 2019
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Motivation I initially made an close-access image for DigitalOcean because I wanted to spend my lectures and workshops giving useful examples and not solving software installation issues. Now you can use my RStudio image which available on DigitalOcean...

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I walk the (train) line – part trois – Dijkstra’s revenge

I walk the (train) line – part trois – Dijkstra’s revenge

(TL;DR: Author algorithmically confirms what he already knows - that there is a way to get from Newtown Station to a tasty burger. Shortest path from Newtown to tasty burger discovered. Author can’t stop thinking about cheeseburgers. Why didn’t he choose a gym as his destination?)

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A Detailed Guide to the ggplot Scatter Plot in R

April 24, 2019
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A Detailed Guide to the ggplot Scatter Plot in R

When it comes to data visualization, flashy graphs can be fun. But if you're trying to convey information, especially to a broad audience, flashy isn't always the way to go. Last week I showed how to work with line graphs in R. In this article, I'm going to talk about creating a scatter plot in R. Specifically, we'll be...

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Google’s Eigenvector… or how a Random Surfer finds the most relevant Webpages

April 24, 2019
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Google’s Eigenvector… or how a Random Surfer finds the most relevant Webpages

Like most people you will have used a search engine lately, like Google. But have you ever thought about how it manages to give you the most fitting results? How does it order the results so that the best are on top? Read on to find out! The earliest search engines either had human curated … Continue reading "Google’s...

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Tidy evaluation in R – Simple Examples

Tidy evaluation in R – Simple Examples

The tidyverse philosophy introduced by Hadley Wickham has been a game changer for the R community. It is based on intuitive rules of what a tidy data set should look like: each variable is a column, each observation is a row (Wickham 2014). At its core, the tidyverse collection of R packages is powered by a consistent grammar of...

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Tidy evaluation in R – Simple Examples

Tidy evaluation in R – Simple Examples

The tidyverse philosophy introduced by Hadley Wickham has been a game changer for the R community. It is based on intuitive rules of what a tidy data set should look like: each variable is a column, each observation is a row (Wickham 2014). At its core, the tidyverse collection of R packages is powered by a consistent grammar of...

Read more »

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