[R] data generation

Joshua Wiley jwiley.psych at gmail.com
Mon Mar 5 05:47:22 CET 2012

Hi deb,

I am not clear what you want exactly, but something like:

x <- runif(1000)
y <- x^2 + rnorm(1000, mean = 0, sd = 1)

might do what you want.

for documentation.  It generates random numbers from the uniform
distribution, and ditto for rnorm except from normal.



On Sun, Mar 4, 2012 at 4:41 PM, mail me <mailme842 at googlemail.com> wrote:
> Hi:
> I am trying to generate data form a simple linear regression model.
> The training data
>  T = {(x1, y1), . . . , (xn), yn}, want to sample x uniformly from the
> range [0,1],  find uncorrupted response y = x^2, and generate random
> noise "e" from normal distribution N(0, 1). Any idea how to do in
> simple steps?
> Thanks in advance.
> deb
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Joshua Wiley
Ph.D. Student, Health Psychology
Programmer Analyst II, Statistical Consulting Group
University of California, Los Angeles

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