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Linear Regression with R : step by step implementation part-2

November 16, 2013
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Linear Regression with R : step by step implementation part-2

Welcome to the second part! In previous part, we understood Linear regression, cost function and gradient descent. In this part we will implement whole process in R step by step using example data set. I will use the data set provided in the machine learning class assignment. We will implement linear regression with one variable The post Linear...

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Linear Regression with R : step by step implementation part-1

November 16, 2013
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Linear Regression with R : step by step implementation part-1

Welcome to the first part of my series blog post. In this post, I will discuss about how to implement linear regression step by step in R by understanding the concept of regression. I will try to explain the concept of linear regression in very short manner and try to convert mathematical formulas in to codes(hope you The post Linear...

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A Shiny App for Experimenting with Dynamic Programming

November 15, 2013
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A Shiny App for Experimenting with Dynamic Programming

This post demonstrates the dynamics involved in a susceptible, infected, and recovering (SIR) model previous post for the model.  The shiny ui and server code can be found on GitHub.of dynamic programming. As a dynamic infection model, I find it p...

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Dygraphs with Bigger Data | US Industries from Kenneth French

November 15, 2013
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Dygraphs with Bigger Data | US Industries from Kenneth French

After seeing the announcement by @lauraegerdal of the SEC’s use of dygraphs to visualize market structure, I was inspired to experiment more with the great dygraphs + rCharts.  I really wanted to see how responsive dygraphs would be with a fairly large dataset.  Some Kenneth French US Industry data seemed just...

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Shiny 0.8.0 released; Yihui Xie joins RStudio

November 15, 2013
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Shiny 0.8.0 released; Yihui Xie joins RStudio

We’re very pleased to announce Shiny 0.8.0 (which actually went up on CRAN about two weeks ago). This release features a vastly better way to display tabular data, and new debugging tools that make it much easier to fix errors in your app. DataTables support We now support much more attractive and powerful displays of

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Evaluating Quandl Data Quality

November 15, 2013
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Quandl has indexed millions of time-series datasets from over 400 sources. All of Quandl’s datasets are open and free. This is great news but before performing any backtest using Quandl data, I want to compare it with a trusted source: Bloomberg for the purpose of this post. I will focus only on daily Futures data here

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Visualizing neural networks in R – update

November 14, 2013
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Visualizing neural networks in R – update

In my last post I said I wasn’t going to write anymore about neural networks (i.e., multilayer feedforward perceptron, supervised ANN, etc.). That was a lie. I’ve received several requests to update the neural network plotting function described in the original post. As previously explained, R does not provide a lot of options for visualizing

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Announcing Packrat

November 14, 2013
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Announcing Packrat

We’re excited to announce Packrat, a new tool for managing the packages your R project depends on. If you’ve ever been frustrated by package dependencies, whether juggling the packages needed by your own projects or getting someone else’s project to work, Packrat is for you. Similar in spirit to Bundler, Packrat understands package dependencies and

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…start using R, from scratch!

November 14, 2013
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…start using R, from scratch!

Some time ago, since I was able to use R by myself, have found some fellows and other people who wanted to learn R as well. Then I pointed them to help pages, to CRAN repositories… but in some cases … Sigue leyendo →

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The RAppArmor Package: Enforcing Security Policies in R Using Dynamic Sandboxing on Linux

November 14, 2013
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The RAppArmor Package: Enforcing Security Policies in R Using Dynamic Sandboxing on Linux

An article called The RAppArmor Package: Enforcing Security Policies in R Using Dynamic Sandboxing on Linux has appeared in the latest volume of he Journal of Statistical Software: http://www.jstatsoft.org/v55/i07. The RAppArmor package is one of the foundations of the OpenCPU framework. It protects against malicious use and excessive use of hardware...

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