data=x
newdataMFAshiny=x
axe1=1
axe2=2
sizeInd <- 1
sizeVar <- 1
sizeGroup <- 1
sizePartial <- 1
sizeFreq <- 1
indsupl <- NULL
ind1=TRUE
ind2=TRUE
ind3=TRUE
ind4=TRUE
drawing=gettext("group",domain="R-Factoshiny")
drawing2=NULL
partial=gettext("None",domain="R-Factoshiny")
partial2=NULL
partial3=FALSE
selectvar2=NULL
selectionMFAshiny <- gettext("No selection",domain="R-Factoshiny")
selection2MFAshiny <- 0
hide=gettext("Nothing",domain="R-Factoshiny")
colorvar=TRUE
freq1=TRUE
freq2=TRUE
partaxe=TRUE
nbdimclustMFAshiny <- 5
nbDimPartialAxes <- 2
hcpcparaMFAshiny <- FALSE
titleGroup=gettext("Groups representation",domain="R-Factoshiny")
titleInd=gettext("Individual factor map",domain="R-Factoshiny")
titleVar=gettext("Correlation circle",domain="R-Factoshiny")
titlePartial=gettext("Graph of the partial axes",domain="R-Factoshiny")
titleFreq=gettext("Graph of the frequencies",domain="R-Factoshiny")
nameJDD=nomData
nomMFAshiny <- rownames(data)
quanti=names(which(sapply(data,is.numeric)))
quali=names(which(!(sapply(data,is.numeric))))
VariableChoices=quanti
QualiChoice=quali
indvarMFAshiny=c(gettext("Individuals",domain="R-Factoshiny"),gettext("Supplementary individuals",domain="R-Factoshiny"))
if (length(quali)>0) indvarMFAshiny <- c(indvarMFAshiny,gettext("Categories",domain="R-Factoshiny"),gettext("Supplementary categories",domain="R-Factoshiny"))
if (length(quanti)>0) indvarMFAshinyfreq <- c(indvarMFAshiny,gettext("Frequencies",domain="R-Factoshiny"),gettext("Supplementary frequencies",domain="R-Factoshiny"))
listeType <- c()
if (length(quanti)>0) listeType <- gettext("Quantitative",domain="R-Factoshiny")
if (length(quali)>0) listeType <- c(listeType,gettext("Qualitative",domain="R-Factoshiny"))
if (length(quanti)>0) listeType <- c(listeType,gettext("Frequencies",domain="R-Factoshiny"))
nomDatacourt=unlist(strsplit(as.character(nomData),"\\["))[1]
pvalueDimdescInit <- 0.05
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