summary.regtst {lmomRFA} | R Documentation |
summary
method for an object of class "regtst"
.
## 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, ...)
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. |
The printed output corresponds closely to that produced by
function REGTST
in the LMOMENTS Fortran package (Hosking, 1996).
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. |
J. R. M. Hosking hosking@watson.ibm.com
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.
# 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))