5037 search results for "git"

analyze the national survey of children’s health with r

November 18, 2013
By

american children of the nineties might have had pogs, beanie babies, m.c. hammer, but we lacked a reliable source for state-level survey estimates on health.  then in 2003, the maternal and child health bureau of the health services and resources...

Read more »

Alpha testing shinyapps.io – first impressions

November 17, 2013
By
Alpha testing shinyapps.io – first impressions

ShinyApps.io is a new server which is currently in alpha testing to host Shiny applications.  It is being designed by the RStudio team and provides some distinct features different from that of the ShinyApps.io is intended for larger applications ...

Read more »

New R package sheldusr: Losses from Natural Disasters in the United States

November 17, 2013
By

The SHELDUS database is database on human and property losses from natural disasters in the United States. Although the data is free, downloading the data is tedious and so is cleaning and analyzing it. The new R package sheldusr comes w...

Read more »

Bayesian linear regression analysis without tears (R)

November 17, 2013
By
Bayesian linear regression analysis without tears (R)

Bayesian methods are sure to get some publicity after Vale Johnson’s PNAS paper regarding the use of Bayesian approaches to recalibrate p-value cutoffs from 0.05 to 0.005. Though the paper itself is bound to get some heat (see the discussion in Andrew Gelman’s blog and Matt Briggs’s fun-to-read deconstruction), the controversy might stimulate people to explore

Read more »

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

November 16, 2013
By
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...

Read more »

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

November 16, 2013
By
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...

Read more »

A Shiny App for Experimenting with Dynamic Programming

November 15, 2013
By
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...

Read more »

Dygraphs with Bigger Data | US Industries from Kenneth French

November 15, 2013
By
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...

Read more »

Shiny 0.8.0 released; Yihui Xie joins RStudio

November 15, 2013
By
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

Read more »

Evaluating Quandl Data Quality

November 15, 2013
By

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

Read more »