residuals.SSN2 {SSN2} | R Documentation |
Extract fitted model residuals
Description
Extract residuals from a fitted model object.
resid
is an alias.
Usage
## S3 method for class 'ssn_lm'
residuals(object, type = "response", ...)
## S3 method for class 'ssn_lm'
resid(object, type = "response", ...)
## S3 method for class 'ssn_lm'
rstandard(model, ...)
## S3 method for class 'ssn_glm'
residuals(object, type = "deviance", ...)
## S3 method for class 'ssn_glm'
resid(object, type = "deviance", ...)
## S3 method for class 'ssn_glm'
rstandard(model, ...)
Arguments
object |
|
type |
|
... |
Other arguments. Not used (needed for generic consistency). |
model |
Details
The response residuals are taken as the response minus the fitted values
for the response: y - X \hat{\beta}
. The Pearson residuals are the
response residuals pre-multiplied by their inverse square root.
The standardized residuals are Pearson residuals divided by the square
root of one minus the leverage (hat) value. The standardized residuals are often used to
check model assumptions, as they have mean zero and variance approximately one.
rstandard()
is an alias for residuals(model, type = "standardized")
.
Value
The residuals as a numeric vector.
Examples
# 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"
)
residuals(ssn_mod)
resid(ssn_mod)
rstandard(ssn_mod)