## S3 method for class 'Renouv':
summary(object,
correlation = FALSE,
symbolic.cor = FALSE,
\dots) ## S3 method for class 'summary.Renouv':
print(x,
coef = TRUE,
pred = TRUE,
probT = FALSE,
digits = max(3, getOption("digits") - 3),
symbolic.cor = x$symbolic.cor,
signif.stars = getOption("show.signif.stars"),
...)
## S3 method for class 'summary.Renouv':
format(x,
\dots)
"Renouv"."summary.Renouv", i.e.
a result of a call to summary.Renouv.TRUE, the correlation matrix of
the estimated parameters is returned and printed.FALSE, the table of coefficients and
t-ratios' will not be printed.FALSE, the table of return
periods/levels will not be printed.FALSE, the $p$-values for the t-tests will not
be printed nor displayed.TRUE, print the correlations in
a symbolic form (see symnum) rather than as numbers.TRUE, summary.Rendata computes and returns a list of summary
statistics concerning the object of class "Rendata" given in object.
The returned list is an object with class "summary.Renouv".
The function print.summary.Rendata does not returns anything.print.summary.Renouv tries to be smart about formatting the
coefficients, standard errors, return levels, etc.
format.summary.Renouv returns as a limited content as
a character string. It does not embed coefficients values nor predictions.Renouv (to build
"Renouv" model objects),
summary.library(Renext)
data(Brest)
fit <- Renouv(Brest)
summary(fit)Run the code above in your browser using DataLab