Hi everyone,
I am interested in doing a study to compare three analyzing methods namely,
ANOVA, GEE and multilevel approach for *categorical repeated measures data
using a simulation study in R*.
I am not an expert in R but I know some preliminaries in R. Therefore I am
desperately looking for some
At 02:40 AM 4/29/2008, Arun Kumar Saha wrote:
Here I am in a simulation study where I want to find different values
of x and y such that f(x,y)=c (some known constant) w.r.t. x, y >0,
y<=x and x<=c1 (another known constant). Can anyone please tell me how
to do it efficiently in R. One way I thoug
x, y are cont. variable, and f also have to be cont.. And your second
suggestion is correct of course, it actually should be |f(x,y) - c| <
epsilon
Thanks
On Tue, Apr 29, 2008 at 12:34 PM, Moshe Olshansky <[EMAIL PROTECTED]> wrote:
> Are the pairs (x,y) belong to some lattice or can
> change cont
Are the pairs (x,y) belong to some lattice or can
change continuously?
Does f assume some discrete values (or is constant on
sets of positive measure)? If not then it will be hard
to randomly select x and y which satisfy the exact
equality (this still can happen since there are
finitely many comput
Here I am in a simulation study where I want to find different values
of x and y such that f(x,y)=c (some known constant) w.r.t. x, y >0,
y<=x and x<=c1 (another known constant). Can anyone please tell me how
to do it efficiently in R. One way I thought that I will draw
different random numbers fro
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