On Apr 28, 2011, at 12:09 PM, Ravi Varadhan wrote:
Surely you must be joking, Mr. Jianfeng.
Perhaps not joking and perhaps not with correct statistical
specification.
A truncated Normal could be simulated with:
set.seed(567)
x <- rnorm(n=50000, m=1, sd=1)
xtrunc <- x[x>=0.2 & x <=0.8]
require(logspline)
plot(logspline(xtrunc, lbound=0.2, ubound=0.8, nknots=7))
--
David.
-------------------------------------------------------
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rvarad...@jhmi.edu
-----Original Message-----
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org
] On Behalf Of Mao Jianfeng
Sent: Thursday, April 28, 2011 12:02 PM
To: r-help@r-project.org
Subject: [R] how to generate a normal distribution with mean=1,
min=0.2, max=0.8
Dear all,
This is a simple probability problem. I want to know, How to
generate a
normal distribution with mean=1, min=0.2 and max=0.8?
I know how the generate a normal distribution of mean = 1 and sd = 1
and
with 500 data point.
rnorm(n=500, m=1, sd=1)
But, I am confusing with how to generate a normal distribution with
expected
min and max. I expect to hear your directions.
Thanks in advance.
Best,
Jian-Feng,
[[alternative HTML version deleted]]
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David Winsemius, MD
West Hartford, CT
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