TesiproV (version 0.9.2)

PROB_BASEVAR-class: Object to store the distribution model for base vars

Description

Object to store the distribution model for base vars...

Fields

Id

Place in vector of objective functional expression function(x)x[id]

Name

name like f_ck, used in the limit state function as input name

Description

Used for better understanding of vars

DistributionType

Distributiontypes like "norm", "lnorm", "weibull", "t", "gamma", etc...

Package

The name of the package the Distribution should be taken from (e.g. "evd")

Mean

The Mean Value of this Basisvariable

Sd

The SD Value of this Basisvariable

Cov

The Cov fitting to Mean and Sd.

x0

Shiftingparameter

DistributionParameters

Inputparameters of the distribution, may be calculated internally

Methods

prepare()

Runs the transformations (from mean, sd -> parameters or the other way round) and checks COV, MEAN and SD fitting together. If distribution is not available an error ll be thrown.

Examples

# NOT RUN {
var1 <- PROB_BASEVAR(Name="var1", Description="yield strength",
DistributionType="norm", Mean=500, Sd=60)
var1$prepare()

var2 <- PROB_BASEVAR(Name="var2", Description="Load",
DistributionType="gumbel",Package="evd",Mean=40, Sd=3)
var2$prepare()

# }