Greetings Statalisters -
I wrote a program with Intercooled STATA V8 that generates
random numbers from an exponential distribution, from which I
want to standardize the random numbers then compare the
distribution to the Standard Normal CDF. If I limit the number
of observations to 100 and the number of iterations to 100 the
program runs fine, but if I want to increase the number of
iterations to 1,000 STATA returns an error indicating that the
matsize is too small - a predictable response since Intercooled
limits the matsize to 800. I've pasted my code below and I'm
wondering if anyone has any suggestions regarding a more
elegant way to write the program or if I simply have to accept
the fact that Intercooled STATA 8 won't generate the 1,000
iterations. Many thanks in advance.
Clint Thompson
Here is the code for 100 observations and 100 iterations, which
runs fine, but how to address the need to iterate 1,000 or more
times (that is, change the N to 1,000)??
/* N = 100 ITERATIONS */
/* EXPONENTIAL, N=100 */
forvalues i = 1(1)100 {
set obs 100
generate exp`i' = -1*ln(uniform())
}
set matsize 100
collapse (mean) exp1-exp100 /*Returns a 1x100 vector
of
means*/
mkmat exp1-exp1000, matrix(Means)
matrix Means_T = Means' /*Returns
transpose of
above matrix*/
matrix one = J(100,1,1) /*Creates
100x1 matrix
w/all ones in column*/
matrix Ysubn = (Means_T - one)*(sqrt(100)) /*Generate the
Ys*/
svmat double Ysubn, name(Yexp100) /*Changes the col.vector to
a variable */
drawnorm norm100, n(100) /*Draws
random sample from
normal distribution*/
cumul Yexp1001, gen(EXP100) /*cumulative distribution
function*/
cumul norm100, gen(NORM_100) /*cumulative dist. function
for Std. Normal*/
label var EXP100 "Exponential, N=100"
label var NORM_100 "Standard Normal, N=100"
#delimit ;
/*Dual CDF plots*/
line EXP100 Yexp1001, clwidth(medthick) || line NORM_100
norm100, sort
clwidth(thick) xtick(-4.0(.5)4.0);
clear
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