tabular summary for glm object
produce a flextable describing a
generalized linear model produced by function glm
.
## S3 method for class 'glm' as_flextable(x, ...)
x |
glm model |
... |
unused argument |
Other as_flextable methods:
as_flextable.gam()
,
as_flextable.grouped_data()
,
as_flextable.htest()
,
as_flextable.lm()
,
as_flextable.xtable()
,
as_flextable()
if(require("broom")){ dat <- attitude dat$high.rating <- (dat$rating > 70) probit.model <- glm(high.rating ~ learning + critical + advance, data=dat, family = binomial(link = "probit")) ft <- as_flextable(probit.model) ft }
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