grouped_glm: Function to run generalized linear model ('glm') across...

In groupedstats: Grouped Statistical Analyses in a Tidy Way

Description

Function to run generalized linear model (glm) across multiple grouping variables.

Usage

grouped_glm(
  data,
  grouping.vars,
  ...,
  output = "tidy",
  tidy.args = list(conf.int = TRUE, conf.level = 0.95),
  augment.args = list()
)

Arguments

data	Dataframe (or tibble) from which variables are to be taken.
grouping.vars	Grouping variables.
...	Additional arguments to broom::tidy, broom::glance, or broom::augment S3 method.
output	A character describing what output is expected. Two possible options: "tidy" (default), which will return the results, or "glance", which will return model summaries.
tidy.args	A list of arguments to be used in the relevant S3 method.
augment.args	A list of arguments to be used in the relevant S3 method.

Value

A tibble dataframe with tidy results from linear model.

See Also

grouped_lm, grouped_lmer, grouped_glmer

Examples

groupedstats::grouped_glm(
  data = mtcars,
  formula = am ~ wt,
  grouping.vars = cyl,
  family = stats::binomial(link = "logit")
)

groupedstats documentation built on May 29, 2021, 1:06 a.m.