tidy.summary.lm: Tidy a(n) summary.lm object

View source: R/stats-summary-lm-tidiers.R

tidy.summary.lmR Documentation

Tidy a(n) summary.lm object


Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies across models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.


## S3 method for class 'summary.lm'
tidy(x, conf.int = FALSE, conf.level = 0.95, ...)



A summary.lm object created by stats::summary.lm().


Logical indicating whether or not to include a confidence interval in the tidied output. Defaults to FALSE.


The confidence level to use for the confidence interval if conf.int = TRUE. Must be strictly greater than 0 and less than 1. Defaults to 0.95, which corresponds to a 95 percent confidence interval.


Additional arguments. Not used. Needed to match generic signature only. Cautionary note: Misspelled arguments will be absorbed in ..., where they will be ignored. If the misspelled argument has a default value, the default value will be used. For example, if you pass conf.lvel = 0.9, all computation will proceed using conf.level = 0.95. Two exceptions here are:

  • tidy() methods will warn when supplied an exponentiate argument if it will be ignored.

  • augment() methods will warn when supplied a newdata argument if it will be ignored.


The tidy.summary.lm() method is a potentially useful alternative to tidy.lm(). For instance, if users have already converted large lm objects into their leaner summary.lm equivalents to conserve memory.


A tibble::tibble() with columns:


Upper bound on the confidence interval for the estimate.


Lower bound on the confidence interval for the estimate.


The estimated value of the regression term.


The two-sided p-value associated with the observed statistic.


The value of a T-statistic to use in a hypothesis that the regression term is non-zero.


The standard error of the regression term.


The name of the regression term.

See Also

tidy(), stats::summary.lm()

Other lm tidiers: augment.glm(), augment.lm(), glance.glm(), glance.lm(), glance.summary.lm(), glance.svyglm(), tidy.glm(), tidy.lm.beta(), tidy.lm(), tidy.mlm()


# fit model
mod <- lm(mpg ~ wt + qsec, data = mtcars)
modsumm <- summary(mod)

# summarize model fit with tidiers
tidy(mod, conf.int = TRUE)

# equivalent to the above
tidy(modsumm, conf.int = TRUE) 


# mostly the same, except for a few missing columns

broom documentation built on Aug. 30, 2022, 1:07 a.m.