[R] how to generate a normal distribution with mean=1, min=0.2, max=0.8

David Winsemius dwinsemius at comcast.net
Thu Apr 28 19:06:21 CEST 2011

```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.

> -------------------------------------------------------
> Assistant Professor,
> Division of Geriatric Medicine and Gerontology School of Medicine
> Johns Hopkins University
>
> Ph. (410) 502-2619
>
>
> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org
> ] On Behalf Of Mao Jianfeng
> Sent: Thursday, April 28, 2011 12:02 PM
> To: r-help at 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.
>
>
> Best,
> Jian-Feng,
>
> 	[[alternative HTML version deleted]]
>
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