Nothing
#############################################################################
##
## List of Built-in Distributions
##
#############################################################################
## --------------------------------------------------------------------------
## Type of distribution
## Important: The spelling of these words is crucial
DISTRIBUTIONS.TYPE <- c("continuous","discrete")
## --------------------------------------------------------------------------
## How distribution is defined
## Important: The spelling of these words is crucial
DISTRIBUTIONS.HOWDEF <- c("built-in","user-defined")
## --------------------------------------------------------------------------
## Continuous univariate distributions
DISTRIBUTIONS.CONT <-
array(c(## Name ## Symbol
"-- select a continuous distribution --", NA,
"Beta distribution", "beta",
"Cauchy distribution", "cauchy",
"Chi distribution", "chi", ### qchi
"Chi-squared distribution", "chisq",
"Exponential distribution", "exp",
"F distribution", "f",
"Frechet (extreme value II) distribution", "frechet",
"Gamma distribution", "gamma",
"Generalized hyperbolic distribution", "ghyp", ### qghyp
"Generalized inverse Gaussian distribution","gig", ### qgig
"Gumbel (extreme value I) distribution", "gumbel", ### qgumbel
"Hyperbolic distribution", "hyperbolic", # ghyperbolic
"Inverse Gaussian distribution", "ig", ### qig
"Laplace (double exponential) distribution","laplace", ### qlaplace
"Lognormal distribution", "lnorm",
"Logistic distribution", "logis",
"Lomax (Pareto II) distribution", "lomax", ### qlomax
"Normal distribution", "norm",
"Powerexponential (Subbotin) distribution", "powerexp", ### qpowerexp
"Rayleigh distribution", "rayleigh", ### qrayleigh
"Slash distribution", "slash",
"Student's t distribution", "t",
"Weibull distribution", "weibull"
))
## --------------------------------------------------------------------------
## Discrete univariate distributions
DISTRIBUTIONS.DISCR <-
array(c(## Name ## Symbol
"-- select a discrete distribution --", NA,
"Binomial distribution", "binom",
"Geometric distribution", "geom",
"Hypergeometric distribution", "hyper",
"Logarithmic distribution", "logarithmic",
"Negative binomial distribution", "nbinom",
"Poisson distribution", "pois"
))
## --------------------------------------------------------------------------
## combine in single list
DISTRIBUTIONS <- list(continuous=DISTRIBUTIONS.CONT, discrete=DISTRIBUTIONS.DISCR)
## set dimensions and rownames
for (l in names(DISTRIBUTIONS)) {
dim(DISTRIBUTIONS[[l]]) <- c(2, length(DISTRIBUTIONS[[l]])/2)
rownames(DISTRIBUTIONS[[l]]) <- c("name","symbol")
}
#############################################################################
##
## Widgets for inserting parameters for built-in distributions
##
#############################################################################
## --------------------------------------------------------------------------
## Synopsis:
##
## param.distr.DISTR ( main, group )
##
## DISTR ... symbol for distribution (see above lists) in upper case letters
##
## Arguments:
## main ... main window
## group ... container where widgets for inserting parameters are placed
##
## Remark:
## There is no need to provide such a function for each distribution in the
## above lists. If such a function is not presented the widget is created
## using argument names and defaults from the corresponding function
## "ud...".
## --------------------------------------------------------------------------
## --------------------------------------------------------------------------
## generic function
param.distr.generic <- function(main,group) {
## get data about distribution
constr <- tag(main,"distribution")$constr
## store widgets for parameters in a list
params.gwl <- list()
## parse arguments of constructor
args <- function.args(constr)
## remove arguments for domain
args <- args[-match(c("lb","ub"), names(args))]
## create widgets (use a tabular layout)
tbl <- glayout(container=group)
if (length(args)>0) {
for (i in 1:length(args)) {
p <- names(args)[i]
params.gwl[[p]] <- gedit(text=args[[p]], width=20,
coerce.with=as.numeric, container=tbl)
tbl[i,1,anchor=c(1,0)] <- p
tbl[i,2] <- params.gwl[[p]]
}
}
else {
tbl[1,1,anchor=c(1,0)] <- "-- none --"
tbl[1,2,anchor=c(1,0)] <- ""
}
return(params.gwl)
}
## --------------------------------------------------------------------------
## parameters for distribution NORM
##
##EXPERIMENTAL.param.distr.NORM <- function(main,group) {
##
## ## get data about distribution
## constr <- tag(main,"distribution")$constr
##
## ## store widgets for parameters in a list
## params.gwl <- list()
##
## ## parse arguments of constructor
## args <- function.args(constr)
##
## ## create widgets (use a tabular layout)
## tbl <- glayout(container=group)
##
## params.gwl[["mean"]] <- gedit(text=args[["mean"]], coerce.with=as.numeric, container=tbl)
## tbl[1,1,anchor=c(1,0)] <- "mean"
## tbl[1,2] <- params.gwl[["mean"]]
##
## params.gwl[["sd"]] <- gedit(text=args[["sd"]], coerce.with=as.numeric, container=tbl)
## tbl[2,1,anchor=c(1,0)] <- "sd"
## tbl[2,2] <- params.gwl[["sd"]]
## tbl[2,3,anchor=c(-1,0)] <- "standard deviation (positive)"
##
#### addHandlerBlur(vars[[p]], function(h, ...) {
#### str <- svalue(h$obj)
#### if (nchar(str)==4)
#### font(h$obj) <- c(color="red")
#### else
#### font(h$obj) <- c(color="black")
#### })
##
## return(params.gwl)
##}
##
## --------------------------------------------------------------------------
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