tidy.qgcompfit {qgcomp} | R Documentation |
Tidy method for qgcompfit object
Description
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 cross models but is usually
self-evident. If a model has several distinct types of components, you will need to
specify which components to return. (Description taken from tidyr::tidy
help file.)
Usage
## S3 method for class 'qgcompfit'
tidy(x, conf.level = 1 - x$alpha, exponentiate = FALSE, quick = FALSE, ...)
Arguments
x |
a agcompfit object created by qgcomp(). |
conf.level |
Real number between 0 and 1 corresponding to nominal percentage/100 of confidence limit (e.g. conf.level=0.95 means 95 per cent confidence intervals). Defaults to 1-alpha level of qgcompfit. |
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. |
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. |
... |
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. Additionally, if you pass newdata = my_tibble to an augment() method that does not accept a newdata argument, it will use the default value for the data argument. |