Monthly Archives: January 2017

January ’17 Tips and Tricks

January 27, 2017
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by Sean Lopp This month’s collection of Tips and Tricks comes from an excellent talk given at the 2017 RStudio::Conf in Orlando by RStudio Software Engineer Kevin Ushey. The slides from his talk are embedded below and cover features from autocompletion to R Markdown shortcuts. Use the left and right arrow keys to change slides.

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Visualization of MRI data in R

January 27, 2017
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Visualization of MRI data in R

Lately I was getting a little bored with genomic data (and then TCGA2STAT started to give me a segfault on my university’s high performance computing facility too :stuck_out_tongue:). So I decided to analyze some brain imaging data that I had lying a...

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Visualization of MRI data in R

January 27, 2017
By
Visualization of MRI data in R

Lately I was getting a little bored with genomic data (and then TCGA2STAT started to give me a segfault on my university’s high performance computing facility too :stuck_out_tongue:). So I decided to analyze some brain imaging data that I had lying a...

Read more »

Visualization of MRI data in R

January 27, 2017
By
Visualization of MRI data in R

Lately I was getting a little bored with genomic data (and then TCGA2STAT started to give me a segfault on my university’s high performance computing facility too :stuck_out_tongue:). So I decided to analyze some brain imaging data that I had lying a...

Read more »

7 Interactive Plots from the Pharmaceutical Industry

January 27, 2017
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Introduction In a recent blog post we introduced 7 Interactive Bioinformatics Plots Made in Python and R. Here I introduced 7 Interactive Plots from the Pharmaceutical Industry using the plotly R package. These plots are essential for any survival analysis study, where there is interest in time-to-events as often seen in the Pharmaceutical industry. For

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The R-Ladies way!

January 27, 2017
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4 months ago I handed my notice in one of the boldest moves in my entire career. Not that I visualized myself as a get-a-job-for-the-rest-of-your-life kind of girl (at all), but I’ve always been very cautious, thinking a couple of moves ahead. About...

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Simulating from a specified seasonal ARIMA model

January 26, 2017
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From my email today You use an illustration of a seasonal arima model: ARIMA(1,1,1)(1,1,1)4 I would like to simulate data from this process then fit a model… but I am unable to find any information as to how this can be conducted… if I set phi1, P...

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Simulating from a specified seasonal ARIMA model

January 26, 2017
By

From my email today You use an illustration of a seasonal arima model: ARIMA(1,1,1)(1,1,1)4 I would like to simulate data from this process then fit a model… but I am unable to find any information as to how this can be conducted… if I set phi1, Phi1, theta1, and Theta1 it would be reassuring that

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Doing magic and analyzing seasonal time series with GAM (Generalized Additive Model) in R

January 26, 2017
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Doing magic and analyzing seasonal time series with GAM (Generalized Additive Model) in R

As I wrote in the previous post, I will continue in describing regression methods, which are suitable for double seasonal (or multi-seasonal) time series. In the previous post about Multiple Linear Regression, I showed how to use “simple” OLS regression method to model double seasonal time series of electricity consumption and use it for accurate forecasting. Interactions between two...

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Cards on the table

January 26, 2017
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Cards on the table

After the last post building on feedback from readers, the blog is back to the regular program of recycling old Github repos. Today’s project was waiting for its turn here and will involve a Catan card game. Nearly a year ago, I played Catan with my ...

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