3149 search results for "ggplot"

R Stats + Digital Analytics: 8 Blogs you should Follow

March 29, 2015
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R Stats + Digital Analytics: 8 Blogs you should Follow

Are you interested in using R for your digital analytics projects? Do you need to perform prediction modelling and visualizations on your digital data and Excel can´t just do the job as you wanted?Or, you simply have no idea how R could help you in your digital analytics problems and you would like to see some real working examples...

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Segmenting F1 Qualifying Session Laptimes

March 29, 2015
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Segmenting F1 Qualifying Session Laptimes

I’ve started scraping some FIA timing sheets again, including practice and qualifying session laptimes. One of the things I’d like to do is explore various ways of looking at the qualifying session laptimes, which means identifying which qualifying session each laptime falls into: For looking at session utilisation charts I’ve been making use of accumulated

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Space Launch Sites over Time

March 29, 2015
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Space Launch Sites over Time

Continuing from last weeks post, I am now looking at space launch sites.DataData are from the main table. In addition, this sites table was manually browsed for interpretation of abbreviations.List of most important sitesJust by running counts the most...

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What we’re reading — and how it ties us together

March 28, 2015
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What we’re reading — and how it ties us together

tl;dr: Network of an interdisciplinary environmental social science lab as tied together by the journals we read. A few key journals, especially Social Networks, hold us together. R code follows. The Center for Environmental Policy and Behavior, my grad lab, is remarkably interdisciplinary. For some sense of our breadth, consider that our nine core graduate students represent five different...

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Parallel R with BatchJobs

March 28, 2015
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Parallel R with BatchJobs

Parallelizing R with BatchJobs – An example using k-means Gord Sissons, Feng Li Many simulations in R are long running. Analysis of statistical algorithms can generate workloads that run for hours if not days tying up a single computer. Given the amount of time R programmers can spend waiting for results, getting acquainted parallelism makes

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NASDAQ 100 Couples

March 25, 2015
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NASDAQ 100 Couples

Heaven, I’m in heaven, and my heart beats so that I can hardly speak, and I seem to find the happiness I seek, when we’re out together dancing cheek to cheek (Cheek To Cheek, Irving Berlin) There are about 6.500 available packages in CRAN repository. If I were a superhuman, able to learn one package … Continue reading...

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Simulation and relative performance

March 24, 2015
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Simulation and relative performance

There’s been some nice posts on randomness the last week or so, in particular here and here. I would like to look at how we can use simulations to get a better understanding of how some aspect of a trading system holds up relative to a bunch of random trades.In this example, I look at entries on...

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Hash Table Performance in R: Part I

March 24, 2015
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Hash Table Performance in R: Part I

What Is It?A hash table, or associative array, is a well known key-value data structure. In R there is no equivalent, but you do have some options. You can use a vector of any type, a list, or an environment.But as you’ll see with all of these options their performance is compromised in some way. In the...

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R in genomics @ SciLifeLab, Solna

March 24, 2015
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R in genomics @ SciLifeLab, Solna

Dear diary, I went to the Stockholm R useR group meetup on R in genomics at the Stockholm node of SciLifeLab. It was nice. If I had worked a bit closer I would attend meetups all the time. I even got to be pretentious with my notebook while waiting for the train. The speakers were:

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ChainLadder 0.2.0 adds Solvency II CDR functions

March 24, 2015
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ChainLadder 0.2.0 adds Solvency II CDR functions

ChainLadder is an R package that provides statistical methods and models for claims reserving in general insurance.With version 0.2.0 we added new functions to estimate the claims development result (CDR) as required under Solvency II. Special thanks to Alessandro Carrato, Giuseppe Crupi and Mario Wüthrich who have contributed code and documentation.New FeaturesNew generic function CDR to estimate the...

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