Book Image

Clojure Data Analysis Cookbook - Second Edition

By : Eric Richard Rochester
Book Image

Clojure Data Analysis Cookbook - Second Edition

By: Eric Richard Rochester

Overview of this book

Table of Contents (19 chapters)
Clojure Data Analysis Cookbook Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Passing vectors into R


In order to do very complex or meaningful analysis, we'll need to be able to pass vector or matrix data into R to operate on and analyze.

Let's see how to do this.

Getting ready

We must first complete the recipe, Setting up R to talk to Clojure, and have Rserve running. We must also have the Clojure-specific parts of that recipe done and the connection to Rserve made.

We'll also need access to the clojure.string namespace:

(require '[clojure.string :as str])

How to do it…

To make passing values into R easier, we'll first define a protocol and then we'll use it to pass a matrix to R:

  1. In order to handle the conversion of all the data types into a string that R can read, we'll define a protocol, ToR. Any data types that we want to marshal into R must implement this, as follows:

    (defprotocol ToR
      (->r [x] "Convert an item to R."))
  2. Now we'll implement this protocol for sequences, vectors, and numeric types:

    (extend-protocol ToR
      clojure.lang.ISeq
      (->r [coll] (str "c(" (str...