##
## to test PAE in marti/cleog
##
######
##### getting lat/long data
#####
setwd("/home/rafael/Dropbox/papers/Rpackages/MaRti/paeInMarti")
distributionalData <-read.csv("cycas-marti.dat", header = F, sep =" ")
distributionalData[,(2:3)] <- round(distributionalData[,(2:3)],2)
distributionalData <- unique(distributionalData)
names(distributionalData)<- c("Species","Latitude","Longitude")
#!!head(distributionalData)
#!!distributionalData$Species
## size of the grid
sizeLat <- 0.5
sizeLong <- 0.5
##
## create the pae matrix
##
setwd("/home/rafael/Dropbox/papers/Rpackages/MaRti/paeInMarti")
source("sourcePAE.R")
PAEMatrix <- createPAEMatrix(distributionalData,
sizeLat, sizeLong)
colnames(PAEMatrix) <- paste("A",colnames(PAEMatrix),sep = "")
#!!head(PAEMatrix,2)
##
## testing write.TNT.matrix
## the matrix is transposed
##
data <- t(PAEMatrix)
writeTNTMatrix(data,"tmpPAE.mtr")
####
####
#### running TNT
####
####
runTNT("tmpPAE.mtr")
#!!Sys.getenv("TERM")
#!!Sys.setenv(EDITOR= "nano")
#!!Sys.setenv(TERM= "xterm")
## read TNT tree
treePAE <- readTNTtree("tmpPAE.tre")
#
plot(treePAE)
## create data.frame
dataPAE <- as.data.frame(data)
#!!names(dataPAE)
#!!rownames(dataPAE)
##!! un objeto con las especies que estan en el nodo
##!! test explicixcto con lso dos numeros
##!!tmp0 <- (dataPAE[c(2,5),]==1)
#!!labels(tmp0)
#!!tmp0[1,]==T & tmp0[2,]==T
##!! los labels de las que son T & T
#!!labels(tmp0)[[2]][tmp0[1,]==T & tmp0[2,]==T]
##!! idem pero en numeros
##!! which(tmp0[1,]==T & tmp0[2,]==T)
##!! labels de todos los que son all T
## funcion para ver si esta en todas las areas
allT <- function(x){all(x==T)}
##!!realAPO <- apply(tmp0,2,allT)
##!!labels(tmp0)[[2]][realAPO]
##!!which(realAPO==T)
Groups <- prop.part(treePAE)
dataPAE <- as.data.frame(data)
#!!which(data[,"Zamia_fairchildiana"]==1)
length(dataPAE)
##!! no es la forma correcta
##!! head(dataPAE)
##!! row.names(dataPAE)[which(dataPAE[2,]==1)]
ListPAE <- list()
tmpListPAE <- list()
for (i in 3:length(Groups)){
##!! i<-4
tmpNewGroups <- treePAE$tip.label[Groups[][[i]]]
tmpListPAE [[1]] <- tmpNewGroups
tmpGroups <- (dataPAE[tmpNewGroups,]==1)
tmpAPO <- apply(tmpGroups,2,allT)
listado <- labels(which(tmpAPO))
##!!dataPAE[,tmpAPO]
for (j in listado){
#!!j <- "Zamia_fairchildiana"
tmpAPO[labels(tmpAPO)==j] <- all(row.names(dataPAE)[which(dataPAE[,j]==1)] %in% tmpNewGroups)
}
##!! algo raro aqui
#!!tmpNumber <- apply(tmpGroups,2,sum)==length(tmpGroups)
#!!tmpAPO & tmpNumber
##!! revisar AQUI como escoger las especies que son solo del clado
RealLabels <-
labels(tmpGroups)[[2]][tmpAPO]
#!![apply(
#!! dataPAE[,
#!! labels(tmpGroups)[[2]][tmpAPO]
#!! ],
#!! 2,sum)
#!! ==
#!! ]
tmpListPAE [[2]] <-RealLabels
ListPAE [[i-2]] <-tmpListPAE
numSpecie <- which(colnames(dataPAE)%in%labels(tmpGroups)[[2]][tmpAPO])
dataPAE <- dataPAE[,-c(numSpecie)]
##!! ListPAE [[i-2]][2] <- c(numSpecie)
}
numActaulPAE <- (length(ListPAE)+1)
ListPAE
SumTrue <- function (x){sum(x)==T}
dataPAE <- dataPAE[,apply(dataPAE,2,SumTrue)]
#!!length(dataPAE)
##!! mejro con subsetting y revisando?
for (i in row.names(dataPAE)){
#!! i <- treePAE$tip.label[2]
#!! i <- 1
##!! i <- "A111"
tmpGroups <- (dataPAE[i,]==1)
tmpAPO <- apply(tmpGroups,2,allT)
tmpListPAE [[1]] <- row.names(tmpGroups)
tmpListPAE [[2]] <-labels(tmpGroups)[[2]][tmpAPO]
ListPAE [[numActaulPAE]] <-tmpListPAE
##!!print(ListPAE[[numActaulPAE]][1])
#!!print(i)
#!!print(ListPAE [[numActaulPAE]])
##!!numSpecie <- which(colnames(dataPAE)%in%tmpListPAE[[2]])
##!! ListPAE [[numActaulPAE]][2] <- c(numSpecie)
##!!print(paste("numero:",numActaulPAE,"--long:",length(dataPAE)))
##!!dataPAE <- dataPAE[,-c(numSpecie)]
##!!print(paste("post:",length(dataPAE)))
##!!if (length(dataPAE)==0){print("nos jodimos")}
numActaulPAE <- numActaulPAE +1
}
length(ListPAE)
#!!for (i in 1:length(ListPAE)){
#!! print(ListPAE[[i]][1])
#!!print(ListPAE[[i]][2])
#!!}
ListPAE
#!!treePAE$tip.label
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