2402 search results for "ggplot"

Sensitivity analysis for neural networks

October 7, 2013
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Sensitivity analysis for neural networks

I’ve made quite a few blog posts about neural networks and some of the diagnostic tools that can be used to ‘demystify’ the information contained in these models. Frankly, I’m kind of sick of writing about neural networks but I wanted to share one last tool I’ve implemented in R. I’m a strong believer that

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The look of verifying data

October 7, 2013
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The look of verifying data

Get data that fit before you fit data. Why verify? Garbage in, garbage out. How to verify The example data used here is daily (adjusted) prices of stocks.  By some magic that I’m yet to fathom, market data can be wondrously wrong even without the benefit of the possibility of transcription errors.  It doesn’t seem … Continue reading...

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Top 250 Movies at IMDb

October 2, 2013
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Top 250 Movies at IMDb

Some years ago I allowed myself to accept a challenge to read the Top 100 Novels of All Time (complete list here). This list was put together by Richard Lacayo and Lev Grossman at Time Magazine. To start with I could tick off a number of books that I had already read. That left me with around 75

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Remotely use R packages on Github through OpenCPU

October 1, 2013
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Remotely use R packages on Github through OpenCPU

Any R package on Github can be used remotely on OpenCPU through the /ocpu/github/ API. Users on the internet can browse code, objects, help pages, or call functions in the package without having to learn R or install it on their local machine. Thereby you can make your method, algorithm, plot...

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Remotely use R packages on Github through OpenCPU

October 1, 2013
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Remotely use R packages on Github through OpenCPU

Any R package on Github can be used remotely on OpenCPU through the /ocpu/github/ API. Users on the internet can browse code, objects, help pages, or call functions in the package without having to learn R or install it on their local machine. Thereby you can make your method, algorithm, plot...

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Measuring Randomness in Capital Markets

September 29, 2013
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Measuring Randomness in Capital Markets

What is Random? As previously discussed, there’s no universal measure of randomness. Randomness implies the lack of pattern and the inability to predict future outcomes. However, The lack of an obvious model doesn’t imply randomness anymore than a curve fit one implies order. So what actually constitutes randomness, how can we quantify it, and why do we care? Randomness $\neq$ Volatility, and Predictability $\neq$ Profit First...

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Measuring Randomness in Capital Markets

September 29, 2013
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Measuring Randomness in Capital Markets

What is Random? As previously discussed, there’s no universal measure of randomness. Randomness implies the lack of pattern and the inability to predict future outcomes. However, The lack of an obvious model doesn’t imply randomness anymore than a curve fit one implies order. So what actually constitutes randomness, how can we quantify it, and why do we care? Randomness $neq$ Volatility, and Predictability $neq$ Profit First...

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Visualizing “ObamaCare-related” Job Cuts

September 28, 2013
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Visualizing “ObamaCare-related” Job Cuts

I was reviewing RSS feeds when I came across this story about “ObamaCare Employer Mandate: A List Of Cuts To Work Hours, Jobs” over on Investors.com. Efficacy of the law notwithstanding, I thought it might be interesting to visualize the data since the folks over at Investors.com provided a handy spreadsheet that they seem to

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Profiling R code

September 25, 2013
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Profiling R code

Profiling R code gives you the chance to identify bottlenecks and pieces of code that needs to be more efficiently implemented . Profiling R code is usually the last thing I do in the process of package (or function) development. In my experience we can reduce the amount of time necessary to run an R

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Guns are cool

September 21, 2013
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Guns are cool

Reddit has a subreddit Guns are cool which in turn contains the MASS SHOOTINGS IN 2013 page. I pulled those data to see if there was anything of interest to plot or examine. I ended with modelling the frequency of shootings (once a day, Poisson distribution), and number of victims per shootings, a mixture of distributions, 2% of shootings...

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