object
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an object inheriting from class gls , representing
a generalized least squares fitted linear model.
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form
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an optional formula specifying the desired type of
plot. Any variable present in the original data frame used to obtain
object can be referenced. In addition, object itself
can be referenced in the formula using the symbol
"." . Conditional expressions on the right of a |
operator can be used to define separate panels in a Trellis
display. Default is resid(., type = "p") ~ fitted(.) ,
corresponding to a plot of the standardized residuals versus fitted
values, both evaluated at the innermost level of nesting.
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abline
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an optional numeric value, or numeric vector of length
two. If given as a single value, a horizontal line will be added to the
plot at that coordinate; else, if given as a vector, its values are
used as the intercept and slope for a line added to the plot. If
missing, no lines are added to the plot.
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id
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an optional numeric value, or one-sided formula. If given as
a value, it is used as a significance level for a two-sided outlier
test for the standardized residuals. Observations with
absolute standardized residuals greater than the 1 - value/2
quantile of the standard normal distribution are identified in the
plot using idLabels . If given as a one-sided formula, its
right hand side must evaluate to a logical, integer, or character
vector which is used to identify observations in the plot. If
missing, no observations are identified.
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idLabels
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an optional vector, or one-sided formula. If given as a
vector, it is converted to character and used to label the
observations identified according to id . If given as a
one-sided formula, its right hand side must evaluate to a vector
which is converted to character and used to label the identified
observations. Default is the innermost grouping factor.
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idResType
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an optional character string specifying the type of
residuals to be used in identifying outliers, when id is a
numeric value. If "pearson" , the standardized residuals (raw
residuals divided by the corresponding standard errors) are used;
else, if "normalized" , the normalized residuals (standardized
residuals pre-multiplied by the inverse square-root factor of the
estimated error correlation matrix) are used. Partial matching of
arguments is used, so only the first character needs to be
provided. Defaults to "pearson" .
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