R help - Mar 2012 - data generation

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

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.

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

Cheers,

Josh

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
https://joshuawiley.com/