lmomRFA (version 2.0)

summary.regtst: Summary of test statistics for regional frequency analysis

Description

summary method for an object of class "regtst".

Usage

## S3 method for class 'regtst':
summary(object,
  prob = c(0.01, 0.02, 0.05, 0.1, 0.2, 0.5, 0.8, 0.9, 0.95, 0.98,
    0.99, 0.999),
  conf = 0.90, decimals = c(4, 4, 2, 3), ...)

## S3 method for class 'summary.regtst':
print(x, decimals, ...)

Arguments

object

An object of class "regtst", usually the result of a call to regtst.

x

An object of class "summary.regtst", usually the result of a call to summary.regtst.

prob

Nonexceedance probabilities for which quantile estimates should be printed.

conf

Confidence level for printing parameter and quantile estimates. These quantities will be printed only for distributions that give an adequate fit at the specified confidence level.

decimals

Vector of length 4. The four elements specify the number of decimal places to be used when printing $L$-moment ratios, distribution parameters, test statistics, and quantile estimates, respectively.

...

Further arguments passed to or from other methods.

Value

• summary.regtst and print.summary.regtst each return, invisibly, an object of class "summary.regtst", which is a list with elements as for class "regtst", plus the following elements:
• conf
  Confidence level --- the conf argument supplied to summary.regtst.
• prob
  Vector of nonexceedance probabilities --- the prob argument supplied to summary.regtst.
• quant
  Matrix with 6 rows and length(prob) columns, containing quantile estimates for the five candidate distributions and the Wakeby distribution.
• decimals
  Vector of length 4. Number of decimals to be used when printing an object of class "summary.regtst" if the decimals argument of print.summary.regtst is not specified.

Details

The printed output corresponds closely to that produced by function REGTST in the LMOMENTS Fortran package (Hosking, 1996).

References

Hosking, J. R. M. (1996). Fortran routines for use with the method of $L$-moments, Version 3. Research Report RC20525, IBM Research Division, Yorktown Heights, N.Y.

See Also

regtst

Examples

# An example from Hosking (1996).  Compare the output with
# the file 'cascades.out' in the LMOMENTS Fortran package at
# http://lib.stat.cmu.edu/lmoments/general (results will not
# be identical, because random-number generators are different).
data(Cascades)
summary(regtst(Cascades, nsim=500))