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