drawnorm will do it. Suppose you wanted 100 observations of each, with
a specified mean and correlation structure. You could use:
matrix means = (10, 30)
matrix stdev = (5, 9)
matrix cor = (1.0, 0.4 \ 0.4 1.0)
drawnorm measure1 measure2, n(100) m(means) corr(cor) sds(stdev)
This will sample 100 observations on measure1 and measure2 with means
(approximately) 10 and 30, a correlation of approximately 0.4, and
standard deviations of 5 and 9, respectively.
John Novak
>>> [email protected] 04/25/06 7:27 AM >>>
Can anyone provide pointers on how to use Stata to simulate a dataset
with
predetermined correlational structure? For instance, say I wanted
MEASURE1
to correlate with MEASURE2 at around r = .4?
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
