methods for class glm or
summary.glm objects.
"family"(object, ...)
"residuals"(object, type = c("deviance", "pearson", "working", "response", "partial"), ...)glm, typically the result of
a call to glm."deviance" (default), "pearson",
"working", "response", and "partial".
Can be abbreviated.The partial residuals are a matrix of working residuals, with each column formed by omitting a term from the model.
How residuals treats cases with missing values in the original
fit is determined by the na.action argument of that fit.
If na.action = na.omit omitted cases will not appear in the
residuals, whereas if na.action = na.exclude they will appear,
with residual value NA. See also naresid.
For fits done with y = FALSE the response values are computed
from other components.
Hastie, T. J. and Pregibon, D. (1992) Generalized linear models. Chapter 6 of Statistical Models in S eds J. M. Chambers and T. J. Hastie, Wadsworth & Brooks/Cole.
McCullagh P. and Nelder, J. A. (1989) Generalized Linear Models. London: Chapman and Hall.
glm for computing glm.obj, anova.glm;
the corresponding generic functions, summary.glm,
coef, deviance,
df.residual,
effects, fitted,
residuals. influence.measures for deletion diagnostics, including
standardized (rstandard)
and studentized (rstudent) residuals.