GLM_summary {bruceR} | R Documentation |
lm
and glm
models).Tidy report of GLM (lm
and glm
models).
GLM_summary( model, robust = FALSE, cluster = NULL, digits = 3, nsmall = digits, ... )
model |
A model fitted by |
robust |
[Only for *** |
cluster |
[Only for |
digits, nsmall |
Number of decimal places of output. Default is 3. |
... |
Other arguments. You may re-define |
No return value.
## 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")