I don't think we have enough information to help you with this.
Do you intent the simulated values for growthrate to be selected from the values
in daT$growthrate? Or do these values define a distribution of values (perhaps
ranging between 0 and 1) and the simulation should use that empirical
distribution? In that case any value of growthrate in the range of 0 and 1
inclusive is possible.
What is the sample size of the 9999 Monte Carlo simulations? This will have a
major effect on the ranges since as the sample size increases the range will be
closer and closer to the range of the growthrate (0 to 1 for condition 3 and 0
to .5 for condition 1).
In your example of no constraints on food (condition 2), if the growthrate is
always 1, the range will always be 1 and 1.
-------------------------------------
David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77840-4352
-----Original Message-----
From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Kristi Glover
Sent: Wednesday, April 20, 2016 1:06 AM
To: R-help
Subject: [R] simulation in R
I realized that there was a typo error. I mean "Monte Carlo
Simulation"
________________________________________
From: R-help <r-help-bounces at r-project.org> on behalf of Kristi Glover
<kristi.glover at hotmail.com>
Sent: April 19, 2016 11:48 PM
To: R-help
Subject: [R] simulation in R
Hi R user,
Would you mind to help me to find the range with stochastic events? For example,
daT<-structure(list(sn = 1:14, growthrate = c(0.5, 0.6, 0.7, 0.99,
0.1, 0.3, 0.4, 0.5, 0.5, 0.2, 0.1, 0.4, 0.3, 0.43)), .Names = c("sn",
"growthrate"), class = "data.frame", row.names = c(NA,
-14L))
I want to find the ranges of growth rate of the above data using Mote corle
simulation (9999 times) under three conditions:
1. very drought ( in that condition growth will not be more than 0.5). [what
would be the range (max, min ) of the growth rate for this scenario)
2. no constraints of food (growth will be 1 or 100%) (what would be the range
(max,min) of growth rate in this scenario?).
3. Control (as it is) (Range??, max.min)
I tried to find whether some one had same problem but I could not find it, is it
too complicated to write the code in R for this example? your help will be
highly appreciated.
Sincerely,
KG
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______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.