SSN (version 1.1.4)

residuals.glmssn: Compute Model Residuals for glmssn Objects

Description

residuals.glmssn is a generic function that has been modified for glmssn objects. It produces residuals from glmssn spatial models.

Usage

## S3 method for class 'glmssn':
residuals(object, cross.validation=TRUE, ...)

Arguments

object

an object of class glmssn

cross.validation

logical value indicating whether leave-one-out cross-validation residuals will be computed. The default is TRUE. Setting cross.validation to FALSE may decrease processing times for large datasets.

...

Other arguments

Value

• The returned object is of class influenceSSN-class. It similar to a glmssn-classobject; the main difference is that additional columns (described in the details section) have been added to the observed points data.frame.

Details

When using residual(x) on a glmssn object, the data for which the model was fit is contained in the obspoints slot @[e-mail]. This data frame contains the response variable for the model, so it is appended with the following columns, [object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Examples

library(SSN)
	data(modelFits)
	#make sure fitSp has the correct path, will vary for each users installation
	fitSp$ssn.object@path <- system.file("lsndata/MiddleFork04.ssn", package = "SSN")
	names(fitSp)
	names(fitSp$ssn.object)

  resids <- residuals(fitSp)
  class(resids)
  names(resids)
  plot(resids)
  hist(resids, xlab = "Raw Residuals")
  qqnorm(resids)

  resids.df <- getSSNdata.frame(resids)
  plot(resids.df[,"_resid_"], ylab = "Raw Residuals")