bigglm.ffdf: Bounded memory linear regression

In ffbase: Basic Statistical Functions for Package 'ff'

Description

bigglm.ffdf creates a generalized linear model object that uses only p^2 memory for p variables. It uses the biglm package and is a simple wrapper to allow to work with an ffdf as input data. Make sure that package is loaded.

Usage

bigglm.ffdf(formula, data, family = gaussian(), ..., chunksize = 5000)

Arguments

formula	a model formula
data	an object of class ffdf
family	A glm family object
...	other parameters passed on to bigglm. See the biglm package: biglm
chunksize	Size of chunks for processing the ffdf

Value

An object of class bigglm. See the bigglm package for a description: bigglm

See Also

bigglm

Examples

## Not run: 
  
library(biglm)
library(ff)

data(trees)
x <- as.ffdf(trees)
a <- bigglm(log(Volume)~log(Girth)+log(Height), 
            data=x, chunksize=10, sandwich=TRUE)
summary(a)

b <- bigglm(log(Volume)~log(Girth)+log(Height)+offset(2*log(Girth)+log(Height)),
            data=x, chunksize=10, sandwich=TRUE)
summary(b)


## End(Not run)

ffbase documentation built on Feb. 27, 2021, 5:06 p.m.