Computed theoretical power for N=100 and N=200 scenarios

Modules/ado/personal/g/gausshermite1.ado

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+*! version 1  5may2005
+************************************************************************************************************
+* gausshermite : Estimate an integral of the form |f(x)g(x/mu,sigma)dx where g(x/mu,sigma) is the distribution function
+* of the gaussian distribution of mean mu and variance sigma^2 by Gauss Hermite quadratures
+*
+* Version 1: May 5, 2005
+*
+*
+* Jean-benoit Hardouin, Regional Health Observatory of Orl<72>ans - France
+* jean-benoit.hardouin@orscentre.org
+*
+* News about this program : http://anaqol.free.fr
+* FreeIRT Project : http://freeirt.free.fr
+*
+* Copyright 2005 Jean-Benoit Hardouin
+*
+* This program is free software; you can redistribute it and/or modify
+* it under the terms of the GNU General Public License as published by
+* the Free Software Foundation; either version 2 of the License, or
+* (at your option) any later version.
+*
+* This program is distributed in the hope that it will be useful,
+* but WITHOUT ANY WARRANTY; without even the implied warranty of
+* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+* GNU General Public License for more details.
+*
+* You should have received a copy of the GNU General Public License
+* along with this program; if not, write to the Free Software
+* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
+*
+************************************************************************************************************
+
+
+program define gausshermite,rclass
+version 7
+syntax anything [, Sigma(real 1) MU(real 0) Nodes(integer 12) Display]
+tempfile gauss
+qui capture save `gauss',replace
+local save=0
+if _rc==0 {
+   qui save `gauss',replace
+   local save=1
+}
+
+tokenize `anything'
+
+drop _all
+qui set obs 100
+tempname noeuds poids
+qui ghquadm `nodes' `noeuds' `poids'
+qui gen x=.
+qui gen poids=.
+forvalues i=1/`nodes' {
+   qui replace x=`noeuds'[1,`i'] in `i'
+   qui replace poids=`poids'[1,`i'] in `i'
+}
+qui replace x=x*(sqrt(2)*`sigma')+`mu'
+
+qui gen f=poids/sqrt(_pi)*(`1')
+qui su f
+return scalar int=r(sum)
+
+if "`display'"!="" {
+   di in green "int_R (`1')g(x/sigma=`sigma')dx=" in yellow %12.8f `r(sum)'
+}
+drop _all
+if `save'==1 {
+   qui use `gauss',clear
+}
+end
+
+