1265 search results for "ggplot2"

Fixing My Internet With R and Python

June 5, 2013
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Fixing My Internet With R and Python

Last summer, I had some internet connectivity problems. Specifically, I would have massive latency issues that affected my conversations on Skype and my relatively pathetic under the best of circumstances efforts at online gaming. It was driving me up a wall and I couldn't figure it out. It hadn't...

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Using the Ensembl Variant Effect Predictor with your 23andme data

June 3, 2013
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Using the Ensembl Variant Effect Predictor with your 23andme data

I subscribe to the Ensembl blog and found, in my feed reader this morning, a post which linked to the Variant Effect Predictor (VEP). The original blog post, strangely, has disappeared. Not to worry: so, the VEP takes genotyping data in one of several formats, compares it with the Ensembl variation + core databases and

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Using R: drawing several regression lines with ggplot2

June 2, 2013
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Using R: drawing several regression lines with ggplot2

Occasionally I find myself wanting to draw several regression lines on the same plot, and of course ggplot2 has convenient facilities for this. As usual, don’t expect anything profound from this post, just a quick tip! There are several reasons we might end up with a table of  regression coefficients connecting two variables in different

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Cars in Netherlands

June 2, 2013
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Cars in Netherlands

I am looking for a new car. So when I saw there was an update on vehicles in Statistics Netherlands I just had to go and look at the data. So, I learned the brown is getting more popular, often the number of cars from a certain construction year is lar...

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Grid Search for Free Parameters with Parallel Computing

June 1, 2013
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Grid Search for Free Parameters with Parallel Computing

In my previous post (http://statcompute.wordpress.com/2013/05/25/test-drive-of-parallel-computing-with-r) on 05/25/2013, I’ve demonstrated the power of parallel computing with various R packages. However, in the real world, it is not straight-forward to utilize these powerful tools in our day-by-day computing tasks without carefully formulate the problem. In the example below, I am going to show how to use the

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Fylopic, an R wrapper to Phylopic

June 1, 2013
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Fylopic, an R wrapper to Phylopic

What is PhyloPic?

PhyloPic is an awesome new service - I'll let the creator, Mike Keesey, explain what it is (paraphrasing here):

PhyloPic stores silhouette images of organisms, and each image is associated with taxonomic names, and stores the taxonomy of all taxa, allowing searching by taxonomic names. Anyone can submit silhouettes to PhyloPic.

What is a silhouette? It's like...

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”How to draw the line” with ggplot2

May 30, 2013
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”How to draw the line” with ggplot2

In a recent tutorial in the eLife journal, Huang, Rattner, Liu & Nathans suggested that researchers who draw scatterplots should start providing not one but three regression lines. I quote, Plotting both regression lines gives a fuller picture of the data, and comparing their slopes provides a simple graphical assessment of the correlation coefficient. Plotting

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(Another) introduction to R

May 27, 2013
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(Another) introduction to R

It’s Memorial Day and my dissertation defense is tomorrow. This week I’m phoning in my blog. I had the opportunity to teach a short course last week that was part of a larger workshop focused on ecosystem restoration. A fellow grad student and I taught a session on Excel and R for basic data analysis.

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BISON USGS species occurrence data

May 27, 2013
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BISON USGS species occurrence data

The USGS recently released a way to search for and get species occurrence records for the USA. The service is called BISON (Biodiversity Information Serving Our Nation). The service has a web interface for human interaction in a browser, and two APIs (application programming interface) to allow machines to interact with their database. One of the...

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Sentiment analysis finds trouble in the Enron emails

May 24, 2013
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Sentiment analysis finds trouble in the Enron emails

The Enron email dataset, collected during the FERC investigation of the Enron financial scandal, represents the largest publicly available set of emails. This makes theman ideal testbed for sentiment analysis algorithms. Ikanow's Andrew Strite used the open-source Infinit.e framework and a Hadoop cluster to generate sentiment scores for all of the Enron emails, and then used R to manipulate...

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