Last data update: 2014.03.03

R: Random Generation from a Truncated Normal Distribution
rtnormR Documentation

Random Generation from a Truncated Normal Distribution

Description

Samples from the Truncated Normal Distribution

Usage

rtnorm(n = 1, mean = 0, sd = 1, lower = -Inf, upper = Inf)

Arguments

n

integer: number of samples to be drawn

mean

vector of means

sd

vector of standard deviations

lower

left truncation point

upper

right truncation point

Value

vector

Author(s)

Jarrod Hadfield j.hadfield@ed.ac.uk

References

Robert, C.P. (1995) Statistics & Computing 5 121-125

See Also

rtnorm

Examples

hist(rtnorm(100, lower=-1, upper=1))

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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Type 'demo()' for some demos, 'help()' for on-line help, or
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> library(MCMCglmm)
Loading required package: Matrix
Loading required package: coda
Loading required package: ape
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/MCMCglmm/rtnorm.Rd_%03d_medium.png", width=480, height=480)
> ### Name: rtnorm
> ### Title: Random Generation from a Truncated Normal Distribution
> ### Aliases: rtnorm
> ### Keywords: distribution
> 
> ### ** Examples
> 
> hist(rtnorm(100, lower=-1, upper=1))
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>