R: Bounded memory linear regression

bigglm.ffdf {ffbase} | R Documentation

## Bounded memory linear regression

### 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)

[Package ffbase version 0.13.1 Index]