Dear Sripal,
As far as my previous example is concerned, the following line is redundant:
oneway age Group [aweight = height], bonferroni.
BTW, Bonferroni correction (just like other corrections for multiple
comparisons available for -ANOVA-) is actually useful for comparing the
means of three or more Groups.
Hence, for two Groups only (as your reported) the revised example goes like
this(flag: Stata 9.2/SE):
-------------------------------------------------
set obs 100
g Group=1 in 1/50
replace Group=2 in 51/100
g age = 50 *uniform()
g height=165*uniform()
oneway age Group [aweight = height]
-------------------------------------------------
Should you be interested in comparing the means of three or more Groups, you
can replace the line
oneway age Group [aweight = height]
with the line
oneway age Group [aweight = height], bonferroni
Kind Regards,
Carlo
-----Messaggio originale-----
Da: Carlo Lazzaro [mailto:[email protected]]
Inviato: martedì 10 novembre 2009 16.08
A: '[email protected]'
Cc: 'Sripal Kumar'
Oggetto: R: t-test using analytic weights
Sripal might want to take a look at:
-help ANOVA-;
the following example (flag: Stata 9.2/SE):
-------------------------------------------------
set obs 100
g Group=1 in 1/50
replace Group=2 in 51/100
g age = 50 *uniform()
g height=165*uniform()
oneway age Group [aweight = height]
oneway age Group [aweight = height], bonferroni
-----------------------------------------------
HTH and Kind Regards,
Carlo
-----Messaggio originale-----
Da: [email protected]
[mailto:[email protected]] Per conto di Sripal Kumar
Inviato: martedì 10 novembre 2009 15.14
A: statalist
Oggetto: st: t-test using analytic weights
Hi,
I am trying to use t-test of independent samples but by using analytic
weights. I tried the following:
ttest age1 == age2 [aweight = wt], unpaired
I get an error message saying "weights not allowed". Is there a way around
it?
thanks,
Sripal.
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