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, ...)
x |
A |
conf.int |
Logical indicating whether or not to include a confidence
interval in the tidied output. Defaults to |
conf.level |
The confidence level to use for the confidence interval
if |
... |
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
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:
conf.high |
Upper bound on the confidence interval for the estimate. |
conf.low |
Lower bound on the confidence interval for the estimate. |
estimate |
The estimated value of the regression term. |
p.value |
The two-sided p-value associated with the observed statistic. |
statistic |
The value of a T-statistic to use in a hypothesis that the regression term is non-zero. |
std.error |
The standard error of the regression term. |
term |
The name of the regression term. |
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()
mod <- lm(mpg ~ wt + qsec, data = mtcars) modsumm <- summary(mod) tidy(mod, conf.int = TRUE) tidy(modsumm, conf.int = TRUE) # same glance(mod) glance(modsumm) # mostly the same, except for a few missing columns
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