iso.menu <- function(){
cat("Isotope euclideanmetric mixture model ver 0.99\n")
cat("by roger\n")
exit <- FALSE
nonedata <- TRUE
while(!exit){
choieces <- c("Load in some data(run this first!)" , "Plot the mixture and source data", "Run the model and show the result","Run the test demo", "exit\n")
choose <- menu(choieces, title = c("EUCLIDEANMETRIC MODEL V0.99-MENU"))
if(choose == 1){
datalist <- iso.loaddata()
nonedata <- FALSE
}
if(choose == 2){
if(!nonedata)
iso.plot(datalist)
else{
cat("Load the data first!\n")
cat("Press <Enter> to continue\n")
readline()
invisible()
}
}
if(choose == 3){
choose1 <- menu(c("Using Monte carlo sampling Method.(faster)", "Using Monte carlo Markov chain sampling Method and Probability threshold(better robust, but slowly)"), title = ("Choose the method"))
if(choose1 == 1){
if(!nonedata){
start <- Sys.time()
cat("---step.1 Creating random sample list---\n")
sample.list <- iso.euclidean2(source.matrix = datalist$sources, mixture.matrix = datalist$mixture)
cat("---step.1 finished!---\n")
cat("---step.2 Creating resample list---\n")
mcm.table <- iso.mcm(source.list = sample.list, numbers = length(sample.list))
cat("---step.2 finished---\n")
cat("---step.3 Drawing histograms...---\n")
iso.histograms(mcm.table, numbers = length(sample.list))
end <- Sys.time()
cat("All steps done!\n")
cat("Time use: ")
print(end - start)
cat("Press <Enter> to continue\n")
readline()
invisible()
}
else{
cat("Load the data first!\n")
cat("Press <Enter> to continue\n")
readline()
invisible()
}
}
if(choose1 == 2){
if(!nonedata){
start <- Sys.time()
cat("---step.1 Creating random sample list and set the probability threshold---\n")
threshold.list <- iso.threshold(source.matrix = datalist$sources, mixture.matrix = datalist$mixture, simplemode = FALSE, correctiso.matrix = NULL)
cat("---step.1 finished!---\n")
cat("---step.2 Creating resample list use MCMC method and probability threshold\n")
mcmc.list <- iso.mcmc(threshold.result = threshold.list, numbers = length(threshold.list$sample_list), iter = 1000)
apportion.table <- iso.apportion(mcmc.result = mcmc.list, run = 1000)
cat("---step.2 finished---\n")
cat("---step.3 Drawing histograms...---\n")
iso.histograms(apportion.table, numbers = length(threshold.list$sample_list))
end <- Sys.time()
cat("All steps done!\n")
cat("Time use: ")
print(end - start)
cat("Press <Enter> to continue\n")
readline()
invisible()
}
else{
cat("Load the data first!\n")
cat("Press <Enter> to continue\n")
readline()
invisible()
}
}
}
if(choose == 4){
iso.demo()
}
if(choose == 5){
cat("Thanks, have a nice day!\n")
exit <- TRUE
}
}
}
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