tidy.SSN2 | R Documentation |
Tidy a fitted model object into a summarized tibble.
## S3 method for class 'ssn_lm'
tidy(x, conf.int = FALSE, conf.level = 0.95, effects = "fixed", ...)
## S3 method for class 'ssn_glm'
tidy(x, conf.int = FALSE, conf.level = 0.95, effects = "fixed", ...)
x |
A fitted model object from |
conf.int |
Logical indicating whether or not to include a confidence interval
in the tidied output. The default is |
conf.level |
The confidence level to use for the confidence interval if
|
effects |
The type of effects to tidy. Available options are |
... |
Other arguments. Not used (needed for generic consistency). |
A tidy tibble of summary information effects
.
glance.SSN2()
augment.SSN2()
# Copy the mf04p .ssn data to a local directory and read it into R
# When modeling with your .ssn object, you will load it using the relevant
# path to the .ssn data on your machine
copy_lsn_to_temp()
temp_path <- paste0(tempdir(), "/MiddleFork04.ssn")
mf04p <- ssn_import(temp_path, overwrite = TRUE)
ssn_mod <- ssn_lm(
formula = Summer_mn ~ ELEV_DEM,
ssn.object = mf04p,
tailup_type = "exponential",
additive = "afvArea"
)
tidy(ssn_mod)
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