Message-ID: <BANLkTikpaMbp1_NYCmEVMbzduGjv_=fCjw@mail.gmail.com>
Date: 2011-04-15T19:04:01Z
From: Ista Zahn
Subject: Monte Carlo Simulation
In-Reply-To: <F3A26F0214F1064DBDBA68A0FCB6DACB40BC4D0531@LEX1EX1.lcsd1.local>
Hi Shane,
See ?rbinom, ?rnorm, ?mvrnorm (in the MASS package), ?sample, ?for and
?write.table
Best,
Ista
On Fri, Apr 15, 2011 at 2:49 PM, Shane Phillips
<SPhillips at lexington1.net> wrote:
> Hello, R friends...
>
> I am very new to R, and I need some help. ?I am trying to construct a simulation for my dissertation.
>
> I need to create 1000 datasets of 1000 subjects with the following variables...
>
> Treatment variable - Drawn from a binomial distribution (1 run, prob=.13)
> Covariate 1 - Drawn from a normal distribution (mean=100, sd=16)
> Covariate 2 - Drawn from a normal distribution (mean=200, sd=9)
> Covariates 1 and 2 need to be correlated (say, r=.80)
> Covariate 3 - Drawn from a binomial distribution (1 run, prob=.5)
> Covariate 4 - Drawn from a distribution of discrete variables where 1 has an 80% chance of being selected, 2 ?- 10%, 3 - 5% and 4 - 5%. ?This variable would need to be recoded into 4 binary variables.
> Covariate 5 - Drawn from a normal distribution (mean=84, sd=2)
> Covariate 6 - Drawn from a binomial distribution (1 run, prob=.15)
> Covariate 6 needs to correlate with Covariate 2 (r=.70, or so)
>
> I need each dataset saved as a new datafile with an iterative filename (e.g. sample1, sample2, etc.).
>
> Please help!
>
> Thanks!
>
> Shane
>
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> and provide commented, minimal, self-contained, reproducible code.
>
--
Ista Zahn
Graduate student
University of Rochester
Department of Clinical and Social Psychology
http://yourpsyche.org