2353 search results for "time series"

Cleaning and visualizing genomic data: a case study in tidy analysis

November 19, 2015
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Cleaning and visualizing genomic data: a case study in tidy analysis

I recently ran into a question looking for a case study in genomics, particularly for teaching ggplot2, dplyr, and the tidy data framework developed by Hadley Wickham. There exist many great resources for learning how to analyze genomic data using Bioconductor tools, including these workflows and package vignettes. But case studies for teaching the...

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Creating nice tables using R Markdown

November 17, 2015
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Creating nice tables using R Markdown

One of the neat tools available via a variety of packages in R is the creation of beautiful tables using data frames stored in R. In what follows, I’ll discuss these different options using data on departing flights from Seattle … Continue reading →

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PubMed search Shiny App using RISmed

November 17, 2015
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PubMed search Shiny App using RISmed

In part one of a series of tutorials, we will develop a Shiny App for performing analysis of academic text from PubMed. There’s no shortage of great tutorials for developing a Shiny App using R, including Shiny’s own tutorial. Here at datascience+ we have a perfect introduction by Teja Kodali and a more in-depth development

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Aggregate – A Powerful Tool for Data Frame in R

November 16, 2015
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Aggregate – A Powerful Tool for Data Frame in R

This post gives a short review of the aggregate function as used for data.frames and presents some interesting uses: from the trivial but handy to the most complicated problems I have solved with aggregate. Aggregate (data.frame): Technical Overview Aggregate is a function in base R which can, as the name suggests, aggregate the inputted data.frame

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Trading Autocorrelation?

November 15, 2015
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Trading Autocorrelation?

Markets are very smart in absorbing and reflecting information. If you think otherwise, try making money by trading. If you are new to it, make sure you don’t bet the house. In other words, markets are efficient. At least most of the time. So then why people trade? The general believe is that there are The post

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Best practices for handling packages in R projects

November 11, 2015
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Best practices for handling packages in R projects

by Andrie de Vries For much of my data science work, I want to have the very latest package from CRAN or github. However, once any work finds it way into production server (where it runs on a regular schedule), I want my environment to be stable. Most importantly, for these projects I want to ensure I have reproducible...

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More on stepped wedge

November 7, 2015
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A couple of months back I talked at the launch of the Trial series on the Stepped Wedge Designed, on which I have worked together with a number of colleagues at UCL and LSHTM. Jennifer, who's one of the authors of the series and is doing her ...

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updating the GISS dataset

November 6, 2015
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updating the GISS dataset

Introduction I was watching a video of David Suzuki being interviewed on Australian TV, and there were some questions about the “pause” in temperature in the GISS dataset. I thought I’d like to check for myself, and reasoned that I may as well update the giss dataset in the ocedata R package. As always seems to be the case, the data format is changed...

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Visualizing Bikeshare Data

November 6, 2015
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Visualizing Bikeshare Data

This entry is part 18 of 18 in the series Using RSeattle’s Pronto bikeshare system recently announced a Data Challenge for data visualization using their first year of trip data. As avid cyclists and data analysis junkies, we of course took …   read more ...

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‘inegiR’ – an R package for Mexican official statistics

November 4, 2015
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‘inegiR’ – an R package for Mexican official statistics

(guest post by Eduardo Flores) Introduction For anyone interested in using data from INEGI (the official statistics agency of Mexico), it was sometimes a hasle to look-up all the information in their BIE data base. Of course, their interface is useful for users who need some data series fast because of the export to excel functions. But for users...

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