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Building a Statistical Significance Testing Web Service with R

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Building a Statistical Significance Testing Web Service with R

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R is a programming language focused on solving statistical and mathematical calculations. R programs often operate on largein-memory data sets, which feels somewhat similar to database programming. Examples in the R Cookbook bear a resemblence to functional programming in clojure, as others have noted.

I’ve been exploring the language to gain insight into related, but disparate technologies that I use with regularity (e.g. Postgres), but for this to be really useful, I’d like to see R behind a webservice. Looking through the official website, there are many defunct attempts at using R in this manner, often abandoned once the maintainer finishes their masters.

A couple have survived, notably Rook and rApache. Rook is a web server inside of R, and rApache, as you might guess, is an Apache module that calls R. I’ve chosen rApache, as I’d like to have a battle-tested front-end for this – while R seems to have very committed maintainers, there do not seem to be very many of them, and I have yet to find examples of anyone running this as a production application.

Inspired by WolframAlpha’s APIs, I built a small web service to test statistical significance. In the future I intend to do tests on performance and security, as well as available JSON libraries.

Here is the installation procedure:

apt-get upgrade
apt-get update
apt-get install r-base r-base-dev
apt-get install apache2-mpm-prefork apache2-prefork-dev
apt-get install git-core
git clone https://github.com/jeffreyhorner/rapache.git
cd rapache
make test
make install
vi /etc/apache2/httpd.conf

Apache configuration settings:

LoadModule R_module /usr/lib/apache2/modules/mod_R.so
<Location /RApacheInfo>
SetHandler r-info
<Directory /var/www/R>
        SetHandler r-script
        RHandler sys.source
/etc/init.d/apache2 restart

And these are the contents of ws.R:

zscore<-function(p, pc, N, Nc){ (p-pc)
     / sqrt(p * (1-p) / N + pc * (1-pc) / Nc) }
significant<-function(p, pc, N, Nc){
     zscore(p, pc, N, Nc) > 1.65 }
valid<-function(x){ nchar(x) < 10 }
if (!valid(GET$pc)
 || !valid(GET$p)
 || !valid(GET$N)
 || !valid(GET$Nc)) {
  cat('error:arg length')
} else {

For instance, the output of http://localhost:8080/R/ws.R?p=.15&pc=.10&N=1000&Nc=1100
is “TRUE”

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