R: Generalized Linear Models (R-compliant)

glm,formula,ANY,SparkDataFrame-method {SparkR}

R Documentation

Generalized Linear Models (R-compliant)

Description

Fits a generalized linear model, similarly to R's glm().

Usage

## S4 method for signature 'formula,ANY,SparkDataFrame'
glm(formula, family = gaussian, data,
  epsilon = 1e-06, maxit = 25, weightCol = NULL, var.power = 0,
  link.power = 1 - var.power)

Arguments

`formula`	a symbolic description of the model to be fitted. Currently only a few formula operators are supported, including '~', '.', ':', '+', and '-'.
`family`	a description of the error distribution and link function to be used in the model. This can be a character string naming a family function, a family function or the result of a call to a family function. Refer R family at https://stat.ethz.ch/R-manual/R-devel/library/stats/html/family.html. Currently these families are supported: `binomial`, `gaussian`, `poisson`, `Gamma`, and `tweedie`.
`data`	a SparkDataFrame or R's glm data for training.
`epsilon`	positive convergence tolerance of iterations.
`maxit`	integer giving the maximal number of IRLS iterations.
`weightCol`	the weight column name. If this is not set or `NULL`, we treat all instance weights as 1.0.
`var.power`	the index of the power variance function in the Tweedie family.
`link.power`	the index of the power link function in the Tweedie family.

Value

glm returns a fitted generalized linear model.

Note

glm since 1.5.0

Examples

## Not run: 
##D sparkR.session()
##D t <- as.data.frame(Titanic)
##D df <- createDataFrame(t)
##D model <- glm(Freq ~ Sex + Age, df, family = "gaussian")
##D summary(model)
## End(Not run)

[Package SparkR version 2.2.1 Index]