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# es el que se llamaba ipsim4CORR.R
ipsim<- function(pp, mimark,sigma=0, lambda=NULL, namesmark=NULL){
# check that in case of multimarked (data.frame) pp, namesmark is provided
# if mippp has a data,frame of marks, ensure that the name of the column with the labels for species is set in argument "namesmark"
dimarks <- dim(pp$marks)
if(!is.null(dimarks) & is.null(namesmark)) stop(paste("For the simulations you should indicate to ipsim argument 'namesmark' which of these ('",paste(names (pp$marks), collapse="' or '"),"') wear the labels for species in the community pp", sep=""))
if(!is.null(namesmark)){
nmarks<- names(pp$marks)
u <- split(pp, f=namesmark)
# randomize (IPP)) the point pattern of the label
if(!is.null(lambda)){
um <- rpoispp(lambda)
}
if(is.null(lambda)){
if (sigma==0){
lambda=u[[mimark]]$n/area.owin(pp$window)# agnadido 29041017 $window
um <- rpoispp(lambda, win=pp$window)
}
if (sigma>0){
lambda <- density.ppp(unmark(u[[mimark]]), sigma=sigma)
um <- rpoispp(lambda)
}
}
um$marks=data.frame(matrix(NA, nrow=um$n,ncol= length(nmarks)))
names(um$marks) <- nmarks
um$marks[,namesmark] <- rep(mimark, um$n)
u[[mimark]] <- um
split(pp, f=namesmark) <- u
namesmarks <-names(pp$marks)
}
if(is.null(namesmark)){
# split the multivariate pp
u <- split(pp)
# randomize (IPP)) the point pattern of the label
if(!is.null(lambda)){
um <- rpoispp(lambda)
}
if(is.null(lambda)){
if (sigma==0){
lambda=u[[mimark]]$n/area.owin(pp$window) # agnadido 29041017 $window
um <- rpoispp(lambda, win=pp$window)
}
if (sigma>0){
lambda <- density.ppp(unmark(u[[mimark]]), sigma=sigma)
um <- rpoispp(lambda)
}
}
u[[mimark]] <- um
# recompose back the splited as a multivariate pp
split(pp) <- u
}
return(pp)
}
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