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, ...) anova(object, ..., test = NULL) anova.glmlist(object, test = NULL, ...) 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. |
test |
a character string, matching one of "Chisq" ,
"F" or "Cp" . See stat.anova . |
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.
The comparison between two or more models by anova
or
anova.glmlist
will only be valid if they
are fitted to the same dataset. This may be a problem if there are
missing values and R's default of na.action = na.omit
is used.
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")