GLM_summary {bruceR} | R Documentation |
Tidy report of GLM (lm
and glm
models).
Description
NOTE: model_summary
is preferred.
Usage
GLM_summary(model, robust = FALSE, cluster = NULL, digits = 3, ...)
Arguments
model |
A model fitted with |
robust |
[Only for *** |
cluster |
[Only for |
digits |
Number of decimal places of output. Defaults to |
... |
Other arguments. You may re-define |
Value
No return value.
See Also
print_table
(print simple table)
model_summary
(highly suggested)
Examples
## Example 1: OLS regression
lm = lm(Temp ~ Month + Day + Wind + Solar.R, data=airquality)
GLM_summary(lm)
GLM_summary(lm, robust="HC1")
# Stata's default is "HC1"
# R package <sandwich>'s default is "HC3"
## Example 2: Logistic regression
glm = glm(case ~ age + parity + education + spontaneous + induced,
data=infert, family=binomial)
GLM_summary(glm)
GLM_summary(glm, robust="HC1", cluster="stratum")