summary.fsr: Summary Method for FSR objects

In fsdaR: Robust Data Analysis Through Monitoring and Dynamic Visualization

Summary Method for FSR objects

Description

summary method for class "fsr".

Usage

## S3 method for class 'fsr'
summary(object, correlation = FALSE, ...)
## S3 method for class 'summary.fsr'
print(x, digits = max(3, getOption("digits") - 3),
     signif.stars = getOption("show.signif.stars"), ...)

Arguments

object, x	an object of class "fsr" (or "summary.fsr"); usually, a result of a call to fsreg.
correlation	logical; if TRUE, the correlation matrix of the estimated parameters is returned and printed.
digits	the number of significant digits to use when printing.
signif.stars	logical indicating if “significance stars” should be printer, see printCoefmat.
...	further arguments passed to or from other methods.

Details

summary.fsr(), the S3 method, simply returns an (S3) object of class "summary.fsr" for which there's a print method:

print.summary.fsr prints summary statistics for the forward search (FS) regression estimates. While the function print.fsr prints only the robust estimates of the coefficients, print.summary.fsr will print also the regression table.

Value

summary.fsr returns an summary.fsr object, whereas the print methods returns its first argument via invisible, as all print methods do.

See Also

fsreg, summary

Examples

## Not run: 

    data(Animals, package = "MASS")
    brain <- Animals[c(1:24, 26:25, 27:28),]
    lbrain <- log(brain)
    (fs <- fsreg(brain~body, data=lbrain, method="FS"))
    summary(fs)

## End(Not run)

fsdaR documentation built on May 29, 2024, 5:35 a.m.