tidy.orcutt {broom} | R Documentation |
Tidy a(n) orcutt object
Description
This method wraps tidy.lm()
.
Usage
## S3 method for class 'orcutt'
tidy(x, ...)
Arguments
x |
An orcutt object returned from orcutt::cochrane.orcutt() .
|
... |
Arguments passed on to tidy.lm
conf.int Logical indicating whether or not to include a confidence
interval in the tidied output. Defaults to FALSE .
conf.level 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.
quick Logical indiciating if the only the term and estimate
columns should be returned. Often useful to avoid time consuming
covariance and standard error calculations. Defaults to FALSE .
exponentiate Logical indicating whether or not to exponentiate the
the coefficient estimates. This is typical for logistic and multinomial
regressions, but a bad idea if there is no log or logit link. Defaults
to FALSE .
|
Value
tidy
returns the same information as tidy.lm()
,
though without confidence interval options.
See Also
tidy()
, tidy.lm()
orcutt::cochrane.orcutt()
Other orcutt tidiers:
glance.orcutt()
Examples
reg <- lm(mpg ~ wt + qsec + disp, mtcars)
tidy(reg)
if (require("orcutt", quietly = TRUE)) {
co <- cochrane.orcutt(reg)
co
tidy(co)
glance(co)
}
[Package
broom version 0.5.6
Index]