1716 search results for "excel"

R vs Spreadsheets

January 8, 2014
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R vs Spreadsheets

One of the myriad of reasons we created the Data Driven Security blog was to provide pointers to data analysis and visualization resources for security domain experts who may have not been exposed to these types of tools. I’d venture a posit that most folks jump into some type of spreadsheet software whenever they get their hands on a manageable...

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Fast-track publishing using knitr: exporting images for sharing and press (part III)

January 7, 2014
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Fast-track publishing using knitr: exporting images for sharing and press (part III)

(This article was first published on G-Forge » R, and kindly contributed to R-bloggers) Images can be a powerful medium if used right. The image is CC by alemdag. Fast-track publishing using knitr is a short series on how I use knitr to speedup publishing in my research. This is the third article in the series devoted to plots....

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From spreadsheet thinking to R thinking

January 7, 2014
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From spreadsheet thinking to R thinking

Towards the basic R mindset. Previously The post “A first step towards R from spreadsheets” provides an introduction to switching from spreadsheets to R.  It also includes a list of additional posts (like this one) on the transition. Add two columns Figure 1 shows some numbers in two columns and the start of adding those The post From...

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Forecasting By Combining Expert Opinion

January 3, 2014
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Forecasting By Combining Expert Opinion

by Michael Helbraun Michael is member of Revolution Analytics Sales Support team. In the following post, he shows how to synthesize a probability distribution from the opinion of multiple experts: an excellent way to construct a Bayesian prior. There are lots of different ways to forecast. Depending on whether there’s historical data, trend, or seasonality you might choose to...

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How to ask for R help

January 2, 2014
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by Stephen Welle, Senior Support Engineer at Revolution Alalytics and Joseph Rickert For someone trying to learn any new technology getting help with a problem on a public forum can be stressful. Knowing where to go, deciding how to pose a question and figuring out how to deal with a response can be challenging. Moreover, an unpleasant interaction could...

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The realized GARCH model

January 2, 2014
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The realized GARCH model

The last model added to the rugarch package dealt with the modelling of intraday volatility using a multiplicative component GARCH model. The newest addition is the realized GARCH model of Hansen, Huang and Shek (2012) (henceforth HHS2012) which relates the realized volatility measure to the latent volatility using a flexible representation with asymmetric dynamics. This

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The realized GARCH model

January 2, 2014
By
The realized GARCH model

The last model added to the rugarch package dealt with the modelling of intraday volatility using a multiplicative component GARCH model. The newest addition is the realized GARCH model of Hansen, Huang and Shek (2012) (henceforth HHS2012) which relates the realized volatility measure to the latent volatility using a flexible representation with asymmetric dynamics. This

Read more »

Teaching linear models

January 2, 2014
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Teaching linear models

I teach several courses every year and the most difficult to pull off is FORE224/STAT202: regression modeling. The academic promotion application form in my university includes a section on one’s ‘teaching philosophy’. I struggle with that part because I suspect I lack anything as grandiose as a philosophy when teaching: as most university lecturers I

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Happy New Year!

January 1, 2014
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It's a brand new year, and the Revolutions blog is now three weeks into its sixth year. Hard to believe that a little over five years ago this was the only R-related blog; now there are more than 450 and the R project and the R community continue to thrive and grow. To bring in the new year, I...

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Generalized linear models for predicting rates

January 1, 2014
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Generalized linear models for predicting rates

I often need to build a predictive model that estimates rates. The example of our age is: ad click through rates (how often a viewer clicks on an ad estimated as a function of the features of the ad and the viewer). Another timely example is estimating default rates of mortgages or credit cards. You Related posts:

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