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# ---------------------------------------------------------------
# graphscan : version 1.1
# fonction graphscan_plot
# fonction générale pour tracer clusters 1d et nd
#
# création : 18/03/14
# version du : 07/07/14
# Unité Epidémiologie Animale (UR346)
# Auteurs : Robin Loche, Benoit Giron, David Abrial, Lionel Cucala, Myriam Charras-Garrido, Jocelyn De-Goer
# ---------------------------------------------------------------
# --------------------------------
# fonction .plot.graphscan
# --------------------------------
.plot.graphscan<-function(x,events_series=1,map=NULL,indice="cucala",sphere=TRUE,projection=FALSE,...)
{
# --------------------------------------------
# vérifications générales sur x (objet graphscan)
# --------------------------------------------
# 1) vérifier que la recherche de clusters a bien été effectuée
if(x@param$dimension=="1d")
{
if(is.null(x@cluster$cluster_1d))
stop("cluster analysis must be done.",call.=F)
}
if(x@param$dimension=="2d" | x@param$dimension=="3d")
{
if(length(x@cluster)==0)
stop("cluster analysis must be done.",call.=F)
}
# 2) vérifier qu'au moins un cluster a bien été détecté
if(x@param$dimension=="1d")
{
if(class(x@cluster$cluster_1d_description)!="matrix")
stop("no cluster has been detected in the data.",call.=F)
}
if(x@param$dimension=="2d" | x@param$dimension=="3d")
{
if(is.null(x@cluster$cluster_nd_cucala) & is.null(x@cluster$cluster_nd_kulldorff))
stop("no cluster has been detected in the data.",call.=F)
}
# 3) vérification sur le paramètre events_series
# rendre unique events_series
events_series<-unique(events_series)
# vérifier l'absence de NA dans events_series
if(any(is.na(events_series)))
stop("'NA' present in 'events_series'.",call.=F)
# --------------------------------------------
# graphe 1d
# --------------------------------------------
if(x@param$dimension=="1d")
{
# lancer fonction graphe 1d
if(length(events_series)==1 & min(events_series)!="all") # une seule série d'évènement
{
# vérifications sur events_series
if(is.numeric(events_series) & events_series>x@param$n_events_series)
stop(paste("argument 'events_series' must be less than or equal to ",x@param$n_events_series,sep=""),call.=FALSE)
if(is.numeric(events_series) & events_series<1)
stop("argument 'events_series' must be greater than 0.",call.=F)
if(is.character(events_series) & is.na(match(events_series,x@param$id)))
stop("argument 'events_series' must be in the list of possible events_series.",call.=F)
# transformer events_series en numerique
if(is.character(events_series))
events_series<-match(events_series,x@param$id)
# fonction de traçage
.plot.cluster.one.1d(x,events_series=events_series,...)
} else if(min(events_series)=="all") # toutes les séries d'évènement
{
# fonction de traçage
.plot.cluster.all.1d(x,events_series=events_series)
} else # plusieures les séries d'évènement (max 6)
{
# vérifications sur events_series
if(is.numeric(events_series) & max(events_series)>x@param$n_events_series)
stop(paste("argument 'events_series' must be less than or equal to ",x@param$n_events_series,".",sep=""),call.=F)
if(is.numeric(events_series) & min(events_series)<1)
stop("argument 'events_series' must be greater than 0.",call.=F)
if(is.character(events_series) & any(is.na(match(events_series,x@param$id))))
stop("argument 'events_series' must be in the list of possible events_series.",call.=F)
# transformer events_series en numerique
if(is.character(events_series))
events_series<-match(events_series,x@param$id)
# limiter la longeur de events_series
if(length(events_series)>6)
stop("argument 'events_series' must be of length less than 7.",call.=F)
# fonction de traçage
.plot.cluster.serie.1d(x,events_series=events_series)
}
}
# --------------------------------------------
# graphe 2d
# --------------------------------------------
if(x@param$dimension=="2d")
{
# fonction de traçage
.plot.cluster.2d(x=x,map=map,indice=indice)
}
# --------------------------------------------
# graphe 3d
# --------------------------------------------
if(x@param$dimension=="3d")
{
# fonction de traçage
if(projection==FALSE)
{ .plot.cluster.3d(x=x,indice=indice,sphere=sphere) } else
{ .plot.cluster.3d.projection(x=x,indice=indice) }
}
}
# --------------------------------
# méthode graphscan_plot
# --------------------------------
setGeneric(name="graphscan_plot",
def=function(x,events_series=1,map=NULL,indice="cucala",sphere=TRUE,projection=FALSE,...){standardGeneric("graphscan_plot")}
)
setMethod(f="graphscan_plot",signature="graphscan",
definition=function(x,events_series=1,map=NULL,indice="cucala",sphere=TRUE,projection=FALSE,...){ .plot.graphscan(x,events_series,map,indice,sphere,projection,...) })
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