June 2016

R profiling

June 5, 2016 | gluc

Profiling in R R has a built in performance and memory profiling facility: Rprof. Type [crayon-5755404797f32904591682-i/] into your console to learn more. The way the profiler works is as follows: you start the profiler by calling Rprof, providing a filename where the profiling data should be stored you ... [Read more...]

Understanding data.table Rolling Joins

June 5, 2016 | Robert Norberg

Understanding data.table Rolling JoinsRobert NorbergJune 5, 2016IntroductionRolling joins in data.table are incredibly useful, but not that well documented. I wrote this to help myself figure out how to use them and perhaps it can help you too.
<span>library</span><span>(</span><span>data.table</span><span>)</span>
The SetupImagine we have an eCommerce website that uses a third ... [Read more...]

Exploring Quantum Gate operations with QCSimulator

June 5, 2016 | Tinniam V Ganesh

Introduction: Ever since I was initiated into Quantum Computing, through IBM’s Quantum Experience I have been hooked. My initial encounter with domain made me very excited and all wound up. The reason behind this, I think, is because there is an air of mystery around ‘Quantum’ anything.  After my ...
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I don’t care about that lost unit

June 4, 2016 | Andrés Gutiérrez

Just assume that you have planned a survey along with the necessary sample size to obtain representativity. Let’s suppose the sample size is 100. However, as nonresponse is always present, unfortunately your effective sample size is 99. Consider the...
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Curated list of R tutorials for Data Science

June 3, 2016 | ujjwalkarn

Here is topic wise list of R tutorials for Data Science, Time Series Analysis, Natural Language Processing and Machine Learning. This list also serves as a reference guide for several common data analysis tasks. The R Language Awesome-R Repository on GitHub R Reference Card: Cheatsheet R bloggers: blog aggregator R ... [Read more...]

Linking bigmemory and RcppEigen

June 3, 2016 | jared huling

The bigmemory package offers a set of tools for R which allow for manipulation larger-than-memory objects within R. It has some basic functions but is certainly not comprehensive. The eigen C++ linear algebra library is a highly efficient numerical linear algebra library and can be interfaced to R through RcppEigen ... [Read more...]

Using geom_step

June 3, 2016 | John Mount

geom_step is an interesting geom supplied by the R package ggplot2. It is an appropriate rendering option for financial market data and we will show how and why to use it in this article. Let’s take a simple example of plotting market data. In this case we are ...
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Visualizing a flood with R

June 3, 2016 | David Smith

As more settlements in Texas and France are impacted by severe flooding, this is a good time to thank the hydrologists at the NOAA who forecast river level rises in advance and give residents in affected areas time to move to higher ground. Along with topgraphic, rainfall, and weather data, ... [Read more...]

Images as x-axis labels (updated)

June 2, 2016 | Jonathan Carroll

They say “if you want to find an answer on the internet, just present a wrong one as fact. Then wait.“ It didn’t take long, actually. Despite my searches while trying to get images into x-axis labels it seems I...Continue Reading →
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Images as x-axis labels (updated)

June 2, 2016 | Jonathan Carroll

They say "if you want to find an answer on the internet, just present a wrong one as fact. Then wait." It didn't take long, actually. Despite my searches while trying to get images into x-axis labels it seems I...Continue Reading →
[Read more...]

Basic Data Analysis with dplyr

June 2, 2016 | Syed Fuad

The dplyr is a very useful package in R for data manipulation. Created and maintained by Hadley Wickham, it contains some very useful functions for data analysis and manipulation. Here, I will show some of the most basic but important functions to perform data analysis. For this exercise, we'll use ...
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Using caret to compare models

June 2, 2016 | Joseph Rickert

by Joseph Rickert The model table on the caret package website lists more that 200 variations of predictive analytics models that are available withing the caret framework. All of these models may be prepared, tuned, fit and evaluated with a common set of caret functions. All on its own, the table ... [Read more...]

methylKit v0.9.6

June 2, 2016 | altuna

We released a new version of methylKit, which is a package for DNA methylation analysis with bisulfite-seq data. This version comes with many changes summarized below. you can also have a look at the release notes. The vignette is now converted to HTML and also lives on rpubs.Working with ... [Read more...]

methylKit v0.9.6

June 2, 2016 | altuna

We released a new version of methylKit, which is a package for DNA methylation analysis with bisulfite-seq data. This version comes with many changes summarized below. you can also have a look at the release notes. The vignette is now converted to... [Read more...]

Remote Pair Programming in R

June 2, 2016 | Ari Lamstein

Recently I’ve been doing a lot of remote pair programming with clients. A few people have asked how this works. Rather than try to explain it, I recorded one of my sessions with a client last week, and you can watch it below: The actual session was about an ... [Read more...]
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