ffbase (version 0.13.3)

bigglm.ffdf: 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)

# }
# NOT RUN {
# }