Nothing
#global script for ICSShiny
if(inherits(x, "data.frame")){
X<-x
nameData<-nameData
var.names <- colnames(X)[sapply(X, is.numeric)]
var.names.quali <- names(which(!(sapply(X, is.numeric))))
S1<-S1
S2<-S2
S1args<-S1args
S2args<-S2args
S1name <- S1name
S2name <- S2name
data.ics<-ics2(X[,var.names], S1, S2, S1args, S2args)
seed<-seed
ncores <- ncores
iseed <- iseed
pkg <- pkg
n <- nrow(X)
#data.ics.dist<-rep(0, n)
data.ics.comp<- 1:ncol(X[,var.names])
#data.ics.cluster<-rep(0, n)
data.ics.outlier<-rep(0, n)
varMode <- 1
alpha <- ifelse((S1name == "MCD" & length(S1args$alpha)>0) | (S2name == "MCD" & length(S2args$alpha)>0),
unique(S1args$alpha, S2args$alpha), 0.5)
df <- ifelse((S1name == "tM" & length(S1args$alpha)>0) | (S2name == "tM" & length(S2args$alpha)>0),
unique(S1args$df, S2args$df), 1)
maxiter <- ifelse((S1name == "HRMEST" & length(S1args$alpha)>0) | (S2name == "HRMEST" & length(S2args$alpha)>0),
unique(S1args$df, S2args$df), 100)
varChoice <- var.names
varChoice.input <- NULL
labelChoice <- "Observation"
categoricalChoice <- "No categories"
initialValueFirst <- NULL
initialValueLast <- NULL
SimuBeg <- NULL
SimuEnd <- NULL
simu.bool <- 0
result<-c("")
level<-0.05
iteration<-100
indexSimuComp<-0:ncol(X)
levelCompSimu <- 0.05
colorIndex<-rep(0, n)
pchIndex<-rep(0, n)
labelIndex<-rep(0, n)
labelBrushedIndex<-rep(0, n)
cutOff.out<-0
labelIndex.out<-rep(0, n)
labelBrushedIndex.out<-rep(0, n)
bool.out<-FALSE
cutOffMode.out<-0
dist.out<-rep(0, n)
existingClusters<- c(0)
saveDirectory<-getwd()
textSummary<-list()
kernelIndexvalue <- 1
bandwidth <- NULL
componentXAxis <- 1
componentYAxis <- NULL
labelICvsIC <- 1
cluster <- 1
labelOutlier <-1
nbIterationCutOff <- 100
levelCutOff <- 0.025
rejectionRate <- 0
rejectionNumber <- 0
}
if(inherits(x, "icsshiny")){
X <- x$X
nameData <- x$nameData
var.names <- x$var.names
var.names.quali <- x$var.names.quali
data.ics <- x$data.ics
S1 <- x$S1
S2 <- x$S2
S1args <- x$S1args
S2args <- x$S2args
S1name <- x$S1name
S2name <- x$S2name
seed <- x$seed
ncores <- x$ncores
iseed <- x$iseed
pkg <- x$pkg
n <- x$n
varMode <- x$varMode
alpha <- ifelse(is.null(x$alpha), 0.5, x$alpha)
df <-ifelse(is.null(x$df), 1, x$df)
maxiter <- ifelse(is.null(x$maxiter), 100, x$maxiter)
varChoice.input <- x$varChoice.input
varChoice <- x$varChoice
labelChoice <- x$labelChoice
categoricalChoice <-x$categoricalChoice
initialValueFirst <- x$initialValueFirst
initialValueLast <- x$initialValueLast
result<-x$result
level<-x$level
iteration<-x$iteration
indexSimuComp<-x$indexSimuComp
levelCompSimu <- x$levelCompSimu
colorIndex<-x$colorIndex
pchIndex<-x$pchIndex
labelIndex<-x$labelIndex
labelBrushedIndex<-x$labelBrushedIndex
cutOff.out<-x$cutOff.out
labelIndex.out<-x$labelIndex.out
labelBrushedIndex.out<-x$labelBrushedIndex.out
bool.out<-x$bool.out
cutOffMode.out<-x$cutOffMode.out
dist.out<-x$dist.out
#data.ics.dist <- x$data.ics.dist
data.ics.comp <- x$data.ics.comp
#data.ics.cluster <- x$data.ics.cluster
data.ics.outlier <- x$data.ics.outlier
existingClusters <- x$existingClusters
saveDirectory<-x$saveDirectory
textSummary<-x$textSummary
kernelIndexvalue <- x$kernelIndexvalue
bandwidth <- x$bandwidth
SimuBeg <- x$SimuBeg
SimuEnd <- x$SimuEnd
simu.bool <- x$simu.bool
componentXAxis <- x$componentXAxis
componentYAxis <- x$componentYAxis
labelICvsIC <- x$labelICvsIC
cluster <- x$cluster
labelOutlier <- x$labelOutlier
nbIterationCutOff <- x$nbIterationCutOff
levelCutOff <- x$levelCutOff
rejectionRate <- x$rejectionRate
rejectionNumber <- x$rejectionNumber
}
compt.change <-0
input.First.change <- 0
input.Last.change <- 0
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