2185 search results for "ggplot2"

Creating Colorblind-Friendly Figures

October 16, 2013
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Creating Colorblind-Friendly Figures

Color is often used to display an extra dimension in plots of scientific data. Unfortunately, everyone does not decode color in exactly the same way. This is especially true for those with color vision deficiency, which affects up to 8 percent of the population in its two most common forms. As a result, it has been estimated that the...

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Prices of houses in the Netherlands

October 13, 2013
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Prices of houses in the Netherlands

The last couple of days I read a number of times about stabilization in house prices which had been dropping due to the crisis. And you get hit by numbers such as change against Q2 2013 or Q3 2012. These are accompanied by reasons why this or that quarter may be special so changes may be off. To be...

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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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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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