clean_glm: Create a Clean Summary Table from a glm Object

In dvmisc: Convenience Functions, Moving Window Statistics, and Graphics

Description

Formats a glm object for printing to console or inputting to kable.

Usage

clean_glm(fit, columns = NULL, expand_factors = TRUE,
  variable_labels = NULL, prep_kable = FALSE, decimals = 2,
  formatp_list = NULL)

Arguments

fit	Object returned from glm.
columns	Character vector specifying what columns to include. Choices for each element are "beta", "se", "betaci", "beta_se", "beta_ci" "or", "orci", "or_ci", "hr", "hrci", "hr_ci"), "z", "t", and "p".
expand_factors	Logical value for whether to include two blank rows for factor variables (name of variable and reference group).
variable_labels	Character vector in case you want labels other than the variable names.
prep_kable	Logical value for whether to prepare for printing via kable. Right now, it just adds forward slashes so factor levels are indented, which only applies if there are factor variables and expand_factors = TRUE.
decimals	Numeric value of vector specifying number of decimal places for each column.
formatp_list	Arguments to pass to formatp.

Value

Data frame.

Examples

fit <- glm(mpg ~ wt + as.factor(cyl) + hp, data = mtcars)
clean_glm(fit)
fit %>% clean_glm(prep_kable = TRUE) %>% knitr::kable()

dvmisc documentation built on Dec. 18, 2019, 1:35 a.m.