[R] generating points over a function, its possible???
kjetil halvorsen
kjetilh at umsanet.edu.bo
Fri Jun 21 22:32:18 CEST 2002
what you need is rnorm, which gives N(0,1) variates, and then multiply
with the standard deviation you have estimated, sqrt(13.01403). Then
x (your data ve ctor)
yhat <- 9.7909 + 0.035*x
ysim <- yhat + sqrt(13.01403)*rnorm(x)
Kjetil halvorsen
"Ronaldo Reis Jr." wrote:
>
> Hi,
> I have a new (for me) situation.
> I have a function for one linear model:
> y = 9.7909-0.035*x
> I have the variance of system
> var = 13.01403
> Is possible to create a random vector points of Y (simulating the real data)
> over this curve using the function and the variance? I need this to a
> discipline.
>
> I have this:
>
> | \
> | \ -> y = 9.7909-0.035*x and var = 13.014
> | \
> | \
> | \
> | \
> |__________
>
> I need something like this (generate this points):
>
> |* \*
> | * \**
> | **\ *
> | *\ **
> | * \*
> | * \ *
> | *\
> |____________
>
> Thanks for all
> Ronaldo
> --
> "It ain't over until it's over."
> -- Casey Stengel
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