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SmartData Collective > Big Data > Data Mining > Dataset too big for R ?
Data Mining

Dataset too big for R ?

Editor SDC
Last updated: 2009/03/03 at 9:55 AM
Editor SDC
2 Min Read
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In case you have a dataset too big for fitting in memory for R, there is a package called biglm .
You install it like this-
install.packages("biglm", dep=TRUE)

 
 
  Information on package ‘biglm’
Description:
Package:       biglm Type:          Package Title:         bounded memory linear and generalized linear models […]

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In case you have a dataset too big for fitting in memory for R, there is a package called biglm .

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You install it like this-

install.packages("biglm", dep=TRUE)

 

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  Information on package ‘biglm’

Description:

Package:       biglm
Type:          Package
Title:         bounded memory linear and generalized linear models
Version:       0.6
Date:          2005-09-24
Author:        Thomas Lumley
Maintainer:    Thomas Lumley <tlumley@u.washington.edu>
Description:   Regression for data too large to fit in memory
License:       GPL
Suggests:      RSQLite, RODBC
Enhances:      leaps
Packaged:      Tue Feb 24 10:47:44 2009; tlumley
Built:         R 2.8.1; i386-pc-mingw32; 2009-02-24 21:35:12; windows

Index:

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bigglm                  Bounded memory linear regression
biglm                   Bounded memory linear regression
predict.bigglm          Predictions from a biglm/bigglm

and in case you are the statistical kind of chap who want to know what’s IN the code for these functions

function (formula, data, family = gaussian(), …)
UseMethod("bigglm", data)
<environment: namespace:biglm>

 

R tip of the day – If you want to know what an R Function say procmeans does…..all you need to do is type procmeans at the command prompt , and it will tell you what is inside the code.

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If it gives an error most probably you need to

1) Install

and 2) Load the package containing the function

Which are conveniently here

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image

credit source –http://www.nabble.com/R-f13819.html

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Editor SDC March 3, 2009
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