broom (version 0.3.7)

biglm_tidiers: Tidiers for biglm and bigglm object

Description

Tidiers for biglm object from the "biglm" package, which contains a linear model object that is limited in memory usage. Generally the behavior is as similar to the lm_tidiers as is possible. Currently no augment is defined.

Usage

## S3 method for class 'biglm':
tidy(x, conf.int = FALSE, conf.level = 0.95,
  exponentiate = FALSE, ...)
## S3 method for class 'biglm':
glance(x, ...)

Arguments

x

a "biglm" object

conf.int

whether to include a confidence interval

conf.level

confidence level of the interval, used only if conf.int=TRUE

exponentiate

whether to exponentiate the coefficient estimates and confidence intervals (typical for logistic regression)

...

extra arguments (not used)

Value

• All tidying methods return a data.frame without rownames, whose structure depends on the method chosen.

  tidy.biglm returns one row for each coefficient, with columns

• term
  The term in the linear model being estimated and tested
• estimate
  The estimated coefficient
• std.error
  The standard error from the linear model
• p.value
  two-sided p-value
• If conf.int=TRUE, it also includes columns for conf.low and conf.high, computed with confint.

  glance.biglm returns a one-row data frame, with columns

• r.squared
  The percent of variance explained by the model
• AIC
  the Akaike Information Criterion
• deviance
  deviance
• df.residual
  residual degrees of freedom

Examples

if (require("biglm", quietly = TRUE)) {
    bfit <- biglm(mpg ~ wt + disp, mtcars)
    tidy(bfit)
    tidy(bfit, conf.int = TRUE)
    tidy(bfit, conf.int = TRUE, conf.level = .9)

    glance(bfit)

    # bigglm: logistic regression
    bgfit <- bigglm(am ~ mpg, mtcars, family = binomial())
    tidy(bgfit)
    tidy(bgfit, exponentiate = TRUE)
    tidy(bgfit, conf.int = TRUE)
    tidy(bgfit, conf.int = TRUE, conf.level = .9)
    tidy(bgfit, conf.int = TRUE, conf.level = .9, exponentiate = TRUE)

    glance(bgfit)
}