glm.summaries {base} | R Documentation |
These functions are all methods
for class glm
or
summary.glm
and anova.glm
objects.
anova.glmlist
is called from anova.glm
for comparison of
several glm
models.
summary(object, dispersion = NULL, correlation = FALSE, na.action = na.omit) anova(object, ..., test = NULL, na.action = na.omit) anova.glmlist(object, test = NULL, na.action = na.omit) coefficients(x) ; coef(x) df.residual(x) family(x) fitted.values(x) ; fitted(x) residuals(x, type = c("deviance", "pearson", "working", "response", "partial"), ...) print.summary(summary.glm.obj, digits = max(3, getOption("digits") - 3), na.print = "", symbolic.cor = p > 4, signif.stars = getOption("show.signif.stars"), ...)
object, x |
an object of class glm , typically the result of
a call to glm . |
dispersion |
the dispersion parameter for the fitting family.
By default it is obtained from glm.obj . |
correlation |
logical; if TRUE , the correlation matrix of
the estimated parameters is returned and printed. |
type |
the type of residuals which should be returned.
The alternatives are: "deviance" (default), "pearson" ,
"working" , "response" , and "partial" . |
The function summary
can be used to obtain or print
a summary of the results and the function anova
and be used to produce and analysis of variance table.
glm
for computing glm.obj
;
the corresponding generic functions, summary
,
anova
, coefficients
, deviance
,
effects
, fitted.values
, residuals
.
## --- Continuing the Example from ``?glm'': summary(glm.D93) anova(glm.D93) anova(glm.D93, test = "Cp")