# 1905 search results for "excel"

## Visualization of MRI data in R

January 27, 2017
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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...

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

January 26, 2017
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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...

## Modelling extremes using generalized additive models

January 25, 2017
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Quite some years ago, whilst working on the EU Sixth Framework project Euro-limpacs, I organized a workshop on statistical methods for analyzing time series data. One of the sessions was on the analysis of extremes, ably given by Paul Northrop (UCL Department of Statistical Science). That intro certainly whet my appetite but I never quite found the time to...

## Descriptive Analysis of MLST Data for MRSA

January 24, 2017
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During one of my summers, I had the opportunity to conduct some research on the prevalence of methicillin-resistant Staphylococcus aureus (MRSA) in vulnerable populations and examining US emergency department data and I thought this would be a pretty interesting topic to expand on for my thesis in lieu of the increasing concerns of antimicrobial resistance, … Continue...

## Principal Component Analysis in R

January 23, 2017
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$Principal Component Analysis in R$

Principal component analysis (PCA) is routinely employed on a wide range of problems. From the detection of outliers to predictive modeling, PCA has the ability of projecting the observations described by variables into few orthogonal components defined at where the data ‘stretch’ the most, rendering a simplified overview. PCA is particularly powerful in dealing with multicollinearity and variables that … Continue...

## Detect Lines in Digital Images

January 23, 2017
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As part of our data science training initiative, bnosac is also providing a course on computer vision with R & Python which is held in March 9-10 in Leuven, Belgium (subscribe here or have a look at our full training offer here). Part of the course is covering finding blobs, corners, gradients, edges & lines in images. For...

## tidyquant 0.3.0: ggplot2 Enhancements, Real-Time Data, and More

tidyquant, version 0.3.0, is a pretty sizable release that includes a little bit for everyone, including new financial charting and moving average geoms for use with ggplot2, a new tq_get get option called "key.stats" for retrieving real-time stock inf...

## Generate text using Markov Chains (sort of)

January 20, 2017
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Inspired by the hilarious podcast The Greatest Generation, I have worked again with all the lines from all the episode scripts of TNG. Today I will make a clunky bot (although it does nothing and is absolutely not useful) that talks like Captain ...

## Introducing sparklyr to the Madrid R User Group

January 20, 2017
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by Carlos Ortega In the last meeting of 2016, the 40th in Madrid’s R Users Group five-year history, we had the opportunity to listen (via Skype) to a very interesting talk by Javier Luraschi, the main author of the package sparklyr. In our previous meeting, a colleague of the Community (José Luis Cañadas) made a

## A Recipe for Automatically Going From Data to Text to Reveal.js Slides

January 20, 2017
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Over the last few years, I’ve experimented on and off with various recipes for creating text reports from tabular data sets, (spreadsheet plugins are also starting to appear with a similar aim in mind). There are several issues associated with this, including: identifying what data or insight you want to report from your dataset; (automatically