Hi David, thanks for your patience and your comment. Unfortunately, your code - if I understood it correctly - is still not what I am looking for. I try to describe an example as you suggested:
I assume that the Lee-Carter-Forecast-Modell generates different sample paths or simulation runs, e.g. 1000 simulations. Within each simulation, a mortality table is generated for all covered ages (0-100 in my case) and a forecast period for x years. What I am looking for is a possibility to extract percentiles from these sample paths or simulations, for example: What is the 50%tile (or 75%tile, 80%tile, 95%tile etc.) survival probability of a (for example) 65 year old person in the first forecast year (FCY1) based on the 1000 simulations or sample paths. Now I want to let this 65 year old person age for the next 10 years that means --> What is the 50%ile (or 75%tile, 80%tile, 95%tile etc.) survival probability of a 66 year old person in FCY2 --> What is the 50%ile (or 75%tile, 80%tile, 95%tile etc.) survival probability of a 67 year old person in FCY3 --> What is the 50%ile (or 75%tile, 80%tile, 95%tile etc.) survival probability of a 68 year old person in FCY4 ... and so on. Sorry, I dodn't know better to describe my problem. Hope you can help! Thanks in advance and have a nice weekend! Best Jonas -- View this message in context: http://r.789695.n4.nabble.com/Package-demography-calculating-percentiles-of-survival-probability-distribution-tp4575145p4576203.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
