Nothing
R/extra_distribution.R
In DeducerExtras: Additional dialogs and functions for Deducer
Defines functions
makeDistributionDialog
########################################################################
#
# Distributions
#
########################################################################
.makeDistributionDialog <- function(type="quantile"){
#make distribution parameters
meanParam <- new(ParamNumeric,"mean",0)
sdParam <- new(ParamNumeric,"sd",1)
sdParam$setLowerBound(0)
meanlogParam <- new(ParamNumeric,"meanlog",0)
sdlogParam <- new(ParamNumeric,"sdlog",1)
sdlogParam$setLowerBound(0)
dfParam <- new(ParamNumeric,"df")
dfParam$setValue(1)
dfParam$setLowerBound(0)
df1Param <- new(ParamNumeric,"df1")
df1Param$setValue(1)
df1Param$setLowerBound(0)
df2Param <- new(ParamNumeric,"df2")
df2Param$setValue(1)
df2Param$setLowerBound(0)
ncpParam <- new(ParamNumeric,"ncp")
ncpParam$setRequired(FALSE)
rateParam <- new(ParamNumeric,"rate",1)
rateParam$setLowerBound(0)
maxParam <- new(ParamNumeric,"max",1)
minParam <- new(ParamNumeric,"min",0)
shapeParam <- new(ParamNumeric,"shape")
shape1Param <- new(ParamNumeric,"shape1")
shape1Param$setTitle("alpha")
shape2Param <- new(ParamNumeric,"shape2")
shape2Param$setTitle("beta")
scaleParam <- new(ParamNumeric,"scale",1)
locationParam <- new(ParamNumeric,"location",0)
sizeParam <- new(ParamNumeric,"size")
sizeParam$setLowerBound(0)
probParam <- new(ParamNumeric,"prob")
probParam$setLowerBound(0)
probParam$setUpperBound(1)
lambdaParam <- new(ParamNumeric,"lambda")
lambdaParam$setLowerBound(0)
mParam <- new(ParamNumeric,"m")
mParam$setLowerBound(0)
kParam <- new(ParamNumeric,"k")
kParam$setLowerBound(0)
xParam <- new(ParamNumeric,"x")
qParam <- new(ParamNumeric,"q")
pParam <- new(ParamNumeric,"p")
pParam$setTitle("Probability")
pParam$setLowerBound(0)
pParam$setUpperBound(1)
nParam <- new(ParamNumeric,"n")
nParam$setLowerBound(0)
lowerTailParam <- new(ParamLogical,"lower.tail",TRUE)
#Define distributions
addParams <-function(rFunc,params){
for(i in 1:length(params))
rFunc$add(params[[i]])
}
dnormFunc <- new(RFunction,"dnorm")
addParams(dnormFunc,list(xParam,meanParam$clone(),sdParam$clone()))
pnormFunc <- new(RFunction,"pnorm")
addParams(pnormFunc,list(qParam,meanParam$clone(),sdParam$clone(),lowerTailParam$clone()))
qnormFunc <- new(RFunction,"qnorm")
addParams(qnormFunc,list(pParam,meanParam$clone(),sdParam$clone(),lowerTailParam$clone()))
dtFunc <- new(RFunction,"dt")
addParams(dtFunc,list(xParam,dfParam$clone(),ncpParam$clone()))
ptFunc <- new(RFunction,"pt")
addParams(ptFunc,list(qParam,dfParam$clone(),ncpParam$clone(),lowerTailParam$clone()))
qtFunc <- new(RFunction,"qt")
addParams(qtFunc,list(pParam,dfParam$clone(),ncpParam$clone(),lowerTailParam$clone()))
ncp1Param <- new(ParamNumeric,"ncp",0)
dchisqFunc <- new(RFunction,"dchisq")
addParams(dchisqFunc,list(xParam,dfParam$clone(),ncp1Param$clone()))
pchisqFunc <- new(RFunction,"pchisq")
addParams(pchisqFunc,list(qParam,dfParam$clone(),ncp1Param$clone(),lowerTailParam$clone()))
qchisqFunc <- new(RFunction,"qchisq")
addParams(qchisqFunc,list(pParam,dfParam$clone(),ncp1Param$clone(),lowerTailParam$clone()))
dfFunc <- new(RFunction,"df")
addParams(dfFunc,list(xParam,df1Param$clone(),df2Param$clone(),ncpParam$clone()))
pfFunc <- new(RFunction,"pf")
addParams(pfFunc,list(qParam,df1Param$clone(),df2Param$clone(),ncpParam$clone(),lowerTailParam$clone()))
qfFunc <- new(RFunction,"qf")
addParams(qfFunc,list(pParam,df1Param$clone(),df2Param$clone(),ncpParam$clone(),lowerTailParam$clone()))
dexpFunc <- new(RFunction,"dexp")
addParams(dexpFunc,list(xParam,rateParam$clone()))
pexpFunc <- new(RFunction,"pexp")
addParams(pexpFunc,list(qParam,rateParam$clone(),lowerTailParam$clone()))
qexpFunc <- new(RFunction,"qexp")
addParams(qexpFunc,list(pParam,rateParam$clone(),lowerTailParam$clone()))
dunifFunc <- new(RFunction,"dunif")
addParams(dunifFunc,list(xParam,minParam$clone(),maxParam$clone()))
punifFunc <- new(RFunction,"punif")
addParams(punifFunc,list(qParam,minParam$clone(),maxParam$clone(),lowerTailParam$clone()))
qunifFunc <- new(RFunction,"qunif")
addParams(qunifFunc,list(pParam,minParam$clone(),maxParam$clone(),lowerTailParam$clone()))
dbetaFunc <- new(RFunction,"dbeta")
addParams(dbetaFunc,list(xParam,shape1Param$clone(),shape2Param$clone()))
pbetaFunc <- new(RFunction,"pbeta")
addParams(pbetaFunc,list(qParam,shape1Param$clone(),shape2Param$clone(),lowerTailParam$clone()))
qbetaFunc <- new(RFunction,"qbeta")
addParams(qbetaFunc,list(pParam,shape1Param$clone(),shape2Param$clone(),lowerTailParam$clone()))
dcauchyFunc <- new(RFunction,"dcauchy")
addParams(dcauchyFunc,list(xParam,locationParam$clone(),scaleParam$clone()))
pcauchyFunc <- new(RFunction,"pcauchy")
addParams(pcauchyFunc,list(qParam,locationParam$clone(),scaleParam$clone(),lowerTailParam$clone()))
qcauchyFunc <- new(RFunction,"qcauchy")
addParams(qcauchyFunc,list(pParam,locationParam$clone(),scaleParam$clone(),lowerTailParam$clone()))
dlogisFunc <- new(RFunction,"dlogis")
addParams(dlogisFunc,list(xParam,locationParam$clone(),scaleParam$clone()))
plogisFunc <- new(RFunction,"plogis")
addParams(plogisFunc,list(qParam,locationParam$clone(),scaleParam$clone(),lowerTailParam$clone()))
qlogisFunc <- new(RFunction,"qlogis")
addParams(qlogisFunc,list(pParam,locationParam$clone(),scaleParam$clone(),lowerTailParam$clone()))
dlnormFunc <- new(RFunction,"dlnorm")
addParams(dlnormFunc,list(xParam,meanlogParam$clone(),sdlogParam$clone()))
plnormFunc <- new(RFunction,"plnorm")
addParams(plnormFunc,list(qParam,meanlogParam$clone(),sdlogParam$clone(),lowerTailParam$clone()))
qlnormFunc <- new(RFunction,"qlnorm")
addParams(qlnormFunc,list(pParam,meanlogParam$clone(),sdlogParam$clone(),lowerTailParam$clone()))
dgammaFunc <- new(RFunction,"dgamma")
addParams(dgammaFunc,list(xParam,shapeParam$clone(),rateParam$clone()))
pgammaFunc <- new(RFunction,"pgamma")
addParams(pgammaFunc,list(qParam,shapeParam$clone(),rateParam$clone(),lowerTailParam$clone()))
qgammaFunc <- new(RFunction,"qgamma")
addParams(qgammaFunc,list(pParam,shapeParam$clone(),rateParam$clone(),lowerTailParam$clone()))
dweibullFunc <- new(RFunction,"dweibull")
addParams(dweibullFunc,list(xParam,shapeParam$clone(),scaleParam$clone()))
pweibullFunc <- new(RFunction,"pweibull")
addParams(pweibullFunc,list(qParam,shapeParam$clone(),scaleParam$clone(),lowerTailParam$clone()))
qweibullFunc <- new(RFunction,"qweibull")
addParams(qweibullFunc,list(pParam,shapeParam$clone(),scaleParam$clone(),lowerTailParam$clone()))
dbinomFunc <- new(RFunction,"dbinom")
addParams(dbinomFunc,list(xParam,sizeParam$clone(),probParam$clone()))
pbinomFunc <- new(RFunction,"pbinom")
addParams(pbinomFunc,list(qParam,sizeParam$clone(),probParam$clone(),lowerTailParam$clone()))
qbinomFunc <- new(RFunction,"qbinom")
addParams(qbinomFunc,list(pParam,sizeParam$clone(),probParam$clone(),lowerTailParam$clone()))
dpoisFunc <- new(RFunction,"dpois")
addParams(dpoisFunc,list(xParam,lambdaParam$clone()))
ppoisFunc <- new(RFunction,"ppois")
addParams(ppoisFunc,list(qParam,lambdaParam$clone(),lowerTailParam$clone()))
qpoisFunc <- new(RFunction,"qpois")
addParams(qpoisFunc,list(pParam,lambdaParam$clone(),lowerTailParam$clone()))
dgeomFunc <- new(RFunction,"dgeom")
addParams(dgeomFunc,list(xParam,probParam$clone()))
pgeomFunc <- new(RFunction,"pgeom")
addParams(pgeomFunc,list(qParam,probParam$clone(),lowerTailParam$clone()))
qgeomFunc <- new(RFunction,"qgeom")
addParams(qgeomFunc,list(pParam,probParam$clone(),lowerTailParam$clone()))
dhyperFunc <- new(RFunction,"dhyper")
addParams(dhyperFunc,list(xParam,mParam$clone(),nParam$clone(),kParam$clone()))
phyperFunc <- new(RFunction,"phyper")
addParams(phyperFunc,list(qParam,mParam$clone(),nParam$clone(),kParam$clone(),lowerTailParam$clone()))
qhyperFunc <- new(RFunction,"qhyper")
addParams(qhyperFunc,list(pParam,mParam$clone(),nParam$clone(),kParam$clone(),lowerTailParam$clone()))
panelView <- new(ParamNumeric,"")$VIEW_RFUNCTION_PANEL
#make function list and add functions
quantileFuncList <- new(RFunctionList,"Quantile function");
#parameters common to all functions should go at the top
globals <- .jarray(list(pParam),"org.rosuda.deducer.widgets.param.Param")
quantileFuncList$setGlobalParams(globals)
quantileFuncList$setViewType(panelView)
quantileFuncList$addRFunction("Normal",qnormFunc)
quantileFuncList$addRFunction("t",qtFunc)
quantileFuncList$addRFunction("Chi-squared",qchisqFunc)
quantileFuncList$addRFunction("F",qfFunc)
quantileFuncList$addRFunction("Exponential",qexpFunc)
quantileFuncList$addRFunction("Uniform",qunifFunc)
quantileFuncList$addRFunction("Beta",qbetaFunc)
quantileFuncList$addRFunction("Cauchy",qcauchyFunc)
quantileFuncList$addRFunction("Logistic",qlogisFunc)
quantileFuncList$addRFunction("Log normal",qlnormFunc)
quantileFuncList$addRFunction("Gamma",qgammaFunc)
quantileFuncList$addRFunction("Weibull",qweibullFunc)
quantileFuncList$addRFunction("Binomial",qbinomFunc)
quantileFuncList$addRFunction("Poisson",qpoisFunc)
quantileFuncList$addRFunction("Geometric",qgeomFunc)
quantileFuncList$addRFunction("Hyper geometric",qhyperFunc)
#make function list and add functions
distFuncList <- new(RFunctionList,"Distribution function");
#parameters common to all functions should go at the top
globals <- .jarray(list(xParam),"org.rosuda.deducer.widgets.param.Param")
distFuncList$setGlobalParams(globals)
distFuncList$setViewType(panelView)
distFuncList$addRFunction("Normal",dnormFunc)
distFuncList$addRFunction("t",dtFunc)
distFuncList$addRFunction("Chi-squared",dchisqFunc)
distFuncList$addRFunction("F",dfFunc)
distFuncList$addRFunction("Exponential",dexpFunc)
distFuncList$addRFunction("Uniform",dunifFunc)
distFuncList$addRFunction("Beta",dbetaFunc)
distFuncList$addRFunction("Cauchy",dcauchyFunc)
distFuncList$addRFunction("Logistic",dlogisFunc)
distFuncList$addRFunction("Log normal",dlnormFunc)
distFuncList$addRFunction("Gamma",dgammaFunc)
distFuncList$addRFunction("Weibull",dweibullFunc)
distFuncList$addRFunction("Binomial",dbinomFunc)
distFuncList$addRFunction("Poisson",dpoisFunc)
distFuncList$addRFunction("Geometric",dgeomFunc)
distFuncList$addRFunction("Hyper geometric",dhyperFunc)
#make function list and add functions
cumDistFuncList <- new(RFunctionList,"Cumulative distribution function");
#parameters common to all functions should go at the top
globals <- .jarray(list(qParam),"org.rosuda.deducer.widgets.param.Param")
cumDistFuncList$setGlobalParams(globals)
cumDistFuncList$setViewType(panelView)
cumDistFuncList$addRFunction("Normal",pnormFunc)
cumDistFuncList$addRFunction("t",ptFunc)
cumDistFuncList$addRFunction("Chi-squared",pchisqFunc)
cumDistFuncList$addRFunction("F",pfFunc)
cumDistFuncList$addRFunction("Exponential",pexpFunc)
cumDistFuncList$addRFunction("Uniform",punifFunc)
cumDistFuncList$addRFunction("Beta",pbetaFunc)
cumDistFuncList$addRFunction("Cauchy",pcauchyFunc)
cumDistFuncList$addRFunction("Logistic",plogisFunc)
cumDistFuncList$addRFunction("Log normal",plnormFunc)
cumDistFuncList$addRFunction("Gamma",pgammaFunc)
cumDistFuncList$addRFunction("Weibull",pweibullFunc)
cumDistFuncList$addRFunction("Binomial",pbinomFunc)
cumDistFuncList$addRFunction("Poisson",ppoisFunc)
cumDistFuncList$addRFunction("Geometric",pgeomFunc)
cumDistFuncList$addRFunction("Hyper geometric",phyperFunc)
if(type=="quantile")
model <- quantileFuncList
else if(type=="distribution")
model <- distFuncList
else if(type=="CDF")
model <- cumDistFuncList
rfd <- new(RFunctionListDialog, model )
rfd$setSize(475L,700L)
rfd$setLocationRelativeTo(.jnull())
rfd
}
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Defines functions makeDistributionDialog
########################################################################
#
# Distributions
#
########################################################################
.makeDistributionDialog <- function(type="quantile"){
#make distribution parameters
meanParam <- new(ParamNumeric,"mean",0)
sdParam <- new(ParamNumeric,"sd",1)
sdParam$setLowerBound(0)
meanlogParam <- new(ParamNumeric,"meanlog",0)
sdlogParam <- new(ParamNumeric,"sdlog",1)
sdlogParam$setLowerBound(0)
dfParam <- new(ParamNumeric,"df")
dfParam$setValue(1)
dfParam$setLowerBound(0)
df1Param <- new(ParamNumeric,"df1")
df1Param$setValue(1)
df1Param$setLowerBound(0)
df2Param <- new(ParamNumeric,"df2")
df2Param$setValue(1)
df2Param$setLowerBound(0)
ncpParam <- new(ParamNumeric,"ncp")
ncpParam$setRequired(FALSE)
rateParam <- new(ParamNumeric,"rate",1)
rateParam$setLowerBound(0)
maxParam <- new(ParamNumeric,"max",1)
minParam <- new(ParamNumeric,"min",0)
shapeParam <- new(ParamNumeric,"shape")
shape1Param <- new(ParamNumeric,"shape1")
shape1Param$setTitle("alpha")
shape2Param <- new(ParamNumeric,"shape2")
shape2Param$setTitle("beta")
scaleParam <- new(ParamNumeric,"scale",1)
locationParam <- new(ParamNumeric,"location",0)
sizeParam <- new(ParamNumeric,"size")
sizeParam$setLowerBound(0)
probParam <- new(ParamNumeric,"prob")
probParam$setLowerBound(0)
probParam$setUpperBound(1)
lambdaParam <- new(ParamNumeric,"lambda")
lambdaParam$setLowerBound(0)
mParam <- new(ParamNumeric,"m")
mParam$setLowerBound(0)
kParam <- new(ParamNumeric,"k")
kParam$setLowerBound(0)
xParam <- new(ParamNumeric,"x")
qParam <- new(ParamNumeric,"q")
pParam <- new(ParamNumeric,"p")
pParam$setTitle("Probability")
pParam$setLowerBound(0)
pParam$setUpperBound(1)
nParam <- new(ParamNumeric,"n")
nParam$setLowerBound(0)
lowerTailParam <- new(ParamLogical,"lower.tail",TRUE)
#Define distributions
addParams <-function(rFunc,params){
for(i in 1:length(params))
rFunc$add(params[[i]])
}
dnormFunc <- new(RFunction,"dnorm")
addParams(dnormFunc,list(xParam,meanParam$clone(),sdParam$clone()))
pnormFunc <- new(RFunction,"pnorm")
addParams(pnormFunc,list(qParam,meanParam$clone(),sdParam$clone(),lowerTailParam$clone()))
qnormFunc <- new(RFunction,"qnorm")
addParams(qnormFunc,list(pParam,meanParam$clone(),sdParam$clone(),lowerTailParam$clone()))
dtFunc <- new(RFunction,"dt")
addParams(dtFunc,list(xParam,dfParam$clone(),ncpParam$clone()))
ptFunc <- new(RFunction,"pt")
addParams(ptFunc,list(qParam,dfParam$clone(),ncpParam$clone(),lowerTailParam$clone()))
qtFunc <- new(RFunction,"qt")
addParams(qtFunc,list(pParam,dfParam$clone(),ncpParam$clone(),lowerTailParam$clone()))
ncp1Param <- new(ParamNumeric,"ncp",0)
dchisqFunc <- new(RFunction,"dchisq")
addParams(dchisqFunc,list(xParam,dfParam$clone(),ncp1Param$clone()))
pchisqFunc <- new(RFunction,"pchisq")
addParams(pchisqFunc,list(qParam,dfParam$clone(),ncp1Param$clone(),lowerTailParam$clone()))
qchisqFunc <- new(RFunction,"qchisq")
addParams(qchisqFunc,list(pParam,dfParam$clone(),ncp1Param$clone(),lowerTailParam$clone()))
dfFunc <- new(RFunction,"df")
addParams(dfFunc,list(xParam,df1Param$clone(),df2Param$clone(),ncpParam$clone()))
pfFunc <- new(RFunction,"pf")
addParams(pfFunc,list(qParam,df1Param$clone(),df2Param$clone(),ncpParam$clone(),lowerTailParam$clone()))
qfFunc <- new(RFunction,"qf")
addParams(qfFunc,list(pParam,df1Param$clone(),df2Param$clone(),ncpParam$clone(),lowerTailParam$clone()))
dexpFunc <- new(RFunction,"dexp")
addParams(dexpFunc,list(xParam,rateParam$clone()))
pexpFunc <- new(RFunction,"pexp")
addParams(pexpFunc,list(qParam,rateParam$clone(),lowerTailParam$clone()))
qexpFunc <- new(RFunction,"qexp")
addParams(qexpFunc,list(pParam,rateParam$clone(),lowerTailParam$clone()))
dunifFunc <- new(RFunction,"dunif")
addParams(dunifFunc,list(xParam,minParam$clone(),maxParam$clone()))
punifFunc <- new(RFunction,"punif")
addParams(punifFunc,list(qParam,minParam$clone(),maxParam$clone(),lowerTailParam$clone()))
qunifFunc <- new(RFunction,"qunif")
addParams(qunifFunc,list(pParam,minParam$clone(),maxParam$clone(),lowerTailParam$clone()))
dbetaFunc <- new(RFunction,"dbeta")
addParams(dbetaFunc,list(xParam,shape1Param$clone(),shape2Param$clone()))
pbetaFunc <- new(RFunction,"pbeta")
addParams(pbetaFunc,list(qParam,shape1Param$clone(),shape2Param$clone(),lowerTailParam$clone()))
qbetaFunc <- new(RFunction,"qbeta")
addParams(qbetaFunc,list(pParam,shape1Param$clone(),shape2Param$clone(),lowerTailParam$clone()))
dcauchyFunc <- new(RFunction,"dcauchy")
addParams(dcauchyFunc,list(xParam,locationParam$clone(),scaleParam$clone()))
pcauchyFunc <- new(RFunction,"pcauchy")
addParams(pcauchyFunc,list(qParam,locationParam$clone(),scaleParam$clone(),lowerTailParam$clone()))
qcauchyFunc <- new(RFunction,"qcauchy")
addParams(qcauchyFunc,list(pParam,locationParam$clone(),scaleParam$clone(),lowerTailParam$clone()))
dlogisFunc <- new(RFunction,"dlogis")
addParams(dlogisFunc,list(xParam,locationParam$clone(),scaleParam$clone()))
plogisFunc <- new(RFunction,"plogis")
addParams(plogisFunc,list(qParam,locationParam$clone(),scaleParam$clone(),lowerTailParam$clone()))
qlogisFunc <- new(RFunction,"qlogis")
addParams(qlogisFunc,list(pParam,locationParam$clone(),scaleParam$clone(),lowerTailParam$clone()))
dlnormFunc <- new(RFunction,"dlnorm")
addParams(dlnormFunc,list(xParam,meanlogParam$clone(),sdlogParam$clone()))
plnormFunc <- new(RFunction,"plnorm")
addParams(plnormFunc,list(qParam,meanlogParam$clone(),sdlogParam$clone(),lowerTailParam$clone()))
qlnormFunc <- new(RFunction,"qlnorm")
addParams(qlnormFunc,list(pParam,meanlogParam$clone(),sdlogParam$clone(),lowerTailParam$clone()))
dgammaFunc <- new(RFunction,"dgamma")
addParams(dgammaFunc,list(xParam,shapeParam$clone(),rateParam$clone()))
pgammaFunc <- new(RFunction,"pgamma")
addParams(pgammaFunc,list(qParam,shapeParam$clone(),rateParam$clone(),lowerTailParam$clone()))
qgammaFunc <- new(RFunction,"qgamma")
addParams(qgammaFunc,list(pParam,shapeParam$clone(),rateParam$clone(),lowerTailParam$clone()))
dweibullFunc <- new(RFunction,"dweibull")
addParams(dweibullFunc,list(xParam,shapeParam$clone(),scaleParam$clone()))
pweibullFunc <- new(RFunction,"pweibull")
addParams(pweibullFunc,list(qParam,shapeParam$clone(),scaleParam$clone(),lowerTailParam$clone()))
qweibullFunc <- new(RFunction,"qweibull")
addParams(qweibullFunc,list(pParam,shapeParam$clone(),scaleParam$clone(),lowerTailParam$clone()))
dbinomFunc <- new(RFunction,"dbinom")
addParams(dbinomFunc,list(xParam,sizeParam$clone(),probParam$clone()))
pbinomFunc <- new(RFunction,"pbinom")
addParams(pbinomFunc,list(qParam,sizeParam$clone(),probParam$clone(),lowerTailParam$clone()))
qbinomFunc <- new(RFunction,"qbinom")
addParams(qbinomFunc,list(pParam,sizeParam$clone(),probParam$clone(),lowerTailParam$clone()))
dpoisFunc <- new(RFunction,"dpois")
addParams(dpoisFunc,list(xParam,lambdaParam$clone()))
ppoisFunc <- new(RFunction,"ppois")
addParams(ppoisFunc,list(qParam,lambdaParam$clone(),lowerTailParam$clone()))
qpoisFunc <- new(RFunction,"qpois")
addParams(qpoisFunc,list(pParam,lambdaParam$clone(),lowerTailParam$clone()))
dgeomFunc <- new(RFunction,"dgeom")
addParams(dgeomFunc,list(xParam,probParam$clone()))
pgeomFunc <- new(RFunction,"pgeom")
addParams(pgeomFunc,list(qParam,probParam$clone(),lowerTailParam$clone()))
qgeomFunc <- new(RFunction,"qgeom")
addParams(qgeomFunc,list(pParam,probParam$clone(),lowerTailParam$clone()))
dhyperFunc <- new(RFunction,"dhyper")
addParams(dhyperFunc,list(xParam,mParam$clone(),nParam$clone(),kParam$clone()))
phyperFunc <- new(RFunction,"phyper")
addParams(phyperFunc,list(qParam,mParam$clone(),nParam$clone(),kParam$clone(),lowerTailParam$clone()))
qhyperFunc <- new(RFunction,"qhyper")
addParams(qhyperFunc,list(pParam,mParam$clone(),nParam$clone(),kParam$clone(),lowerTailParam$clone()))
panelView <- new(ParamNumeric,"")$VIEW_RFUNCTION_PANEL
#make function list and add functions
quantileFuncList <- new(RFunctionList,"Quantile function");
#parameters common to all functions should go at the top
globals <- .jarray(list(pParam),"org.rosuda.deducer.widgets.param.Param")
quantileFuncList$setGlobalParams(globals)
quantileFuncList$setViewType(panelView)
quantileFuncList$addRFunction("Normal",qnormFunc)
quantileFuncList$addRFunction("t",qtFunc)
quantileFuncList$addRFunction("Chi-squared",qchisqFunc)
quantileFuncList$addRFunction("F",qfFunc)
quantileFuncList$addRFunction("Exponential",qexpFunc)
quantileFuncList$addRFunction("Uniform",qunifFunc)
quantileFuncList$addRFunction("Beta",qbetaFunc)
quantileFuncList$addRFunction("Cauchy",qcauchyFunc)
quantileFuncList$addRFunction("Logistic",qlogisFunc)
quantileFuncList$addRFunction("Log normal",qlnormFunc)
quantileFuncList$addRFunction("Gamma",qgammaFunc)
quantileFuncList$addRFunction("Weibull",qweibullFunc)
quantileFuncList$addRFunction("Binomial",qbinomFunc)
quantileFuncList$addRFunction("Poisson",qpoisFunc)
quantileFuncList$addRFunction("Geometric",qgeomFunc)
quantileFuncList$addRFunction("Hyper geometric",qhyperFunc)
#make function list and add functions
distFuncList <- new(RFunctionList,"Distribution function");
#parameters common to all functions should go at the top
globals <- .jarray(list(xParam),"org.rosuda.deducer.widgets.param.Param")
distFuncList$setGlobalParams(globals)
distFuncList$setViewType(panelView)
distFuncList$addRFunction("Normal",dnormFunc)
distFuncList$addRFunction("t",dtFunc)
distFuncList$addRFunction("Chi-squared",dchisqFunc)
distFuncList$addRFunction("F",dfFunc)
distFuncList$addRFunction("Exponential",dexpFunc)
distFuncList$addRFunction("Uniform",dunifFunc)
distFuncList$addRFunction("Beta",dbetaFunc)
distFuncList$addRFunction("Cauchy",dcauchyFunc)
distFuncList$addRFunction("Logistic",dlogisFunc)
distFuncList$addRFunction("Log normal",dlnormFunc)
distFuncList$addRFunction("Gamma",dgammaFunc)
distFuncList$addRFunction("Weibull",dweibullFunc)
distFuncList$addRFunction("Binomial",dbinomFunc)
distFuncList$addRFunction("Poisson",dpoisFunc)
distFuncList$addRFunction("Geometric",dgeomFunc)
distFuncList$addRFunction("Hyper geometric",dhyperFunc)
#make function list and add functions
cumDistFuncList <- new(RFunctionList,"Cumulative distribution function");
#parameters common to all functions should go at the top
globals <- .jarray(list(qParam),"org.rosuda.deducer.widgets.param.Param")
cumDistFuncList$setGlobalParams(globals)
cumDistFuncList$setViewType(panelView)
cumDistFuncList$addRFunction("Normal",pnormFunc)
cumDistFuncList$addRFunction("t",ptFunc)
cumDistFuncList$addRFunction("Chi-squared",pchisqFunc)
cumDistFuncList$addRFunction("F",pfFunc)
cumDistFuncList$addRFunction("Exponential",pexpFunc)
cumDistFuncList$addRFunction("Uniform",punifFunc)
cumDistFuncList$addRFunction("Beta",pbetaFunc)
cumDistFuncList$addRFunction("Cauchy",pcauchyFunc)
cumDistFuncList$addRFunction("Logistic",plogisFunc)
cumDistFuncList$addRFunction("Log normal",plnormFunc)
cumDistFuncList$addRFunction("Gamma",pgammaFunc)
cumDistFuncList$addRFunction("Weibull",pweibullFunc)
cumDistFuncList$addRFunction("Binomial",pbinomFunc)
cumDistFuncList$addRFunction("Poisson",ppoisFunc)
cumDistFuncList$addRFunction("Geometric",pgeomFunc)
cumDistFuncList$addRFunction("Hyper geometric",phyperFunc)
if(type=="quantile")
model <- quantileFuncList
else if(type=="distribution")
model <- distFuncList
else if(type=="CDF")
model <- cumDistFuncList
rfd <- new(RFunctionListDialog, model )
rfd$setSize(475L,700L)
rfd$setLocationRelativeTo(.jnull())
rfd
}
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