Normal Plot of Residuals from a gls Object
Diagnostic plots for assessing the normality of residuals the
generalized least squares fit are obtained. The form argument
gives considerable flexibility in the type of plot specification. A
conditioning expression (on the right side of a | operator)
always implies that different panels are used for each level of the
conditioning factor, according to a Trellis display.
## S3 method for class 'gls' qqnorm(y, form, abline, id, idLabels, grid, ...)
y |
an object inheriting from class |
form |
an optional one-sided formula specifying the desired type of
plot. Any variable present in the original data frame used to obtain
|
abline |
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. |
id |
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 (random effects). Observations with
absolute standardized residuals (random effects) greater than the
1 - value/2 quantile of the standard normal distribution are
identified in the plot using |
idLabels |
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 |
grid |
an optional logical value indicating whether a grid should
be added to plot. Default depends on the type of Trellis plot used:
if |
... |
optional arguments passed to the Trellis plot function. |
a diagnostic Trellis plot for assessing normality of residuals.
José Pinheiro and Douglas Bates bates@stat.wisc.edu
fm1 <- gls(follicles ~ sin(2*pi*Time) + cos(2*pi*Time), Ovary,
correlation = corAR1(form = ~ 1 | Mare))
qqnorm(fm1, abline = c(0,1))Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.