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Setup initial file structure

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Corentin Choisy
2024-03-05 11:20:30 +01:00
parent 6183a6391b
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************************************************************************************************************
* Traces: Traces of items
* version 3: July 9, 2003
*
* Historic:
* Version 1 (2003-06-29): Jean-Benoit Hardouin
* Version 2 (2003-07-04): Jean-Benoit Hardouin
*
* Jean-benoit Hardouin, Regional Health Observatory of Orl<72>ans - France
* jean-benoit.hardouin@neuf.fr
*
* News about this program : http://anaqol.free.fr
* FreeIRT Project : http://freeirt.free.fr
*
* Copyright 2003 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 traces
version 8.0
syntax varlist(numeric min=2) [, score test restscore logistic ci cumulative repfiles(string) scorefiles(string) restscorefiles(string) logisticfile(string) nodraw nodrawcomb replace]
local nbitems : word count `varlist'
tokenize `varlist'
tempvar varscore
gen `varscore'=0
label variable `varscore' "Total score"
local scoremax=0
local flag=0
if "`score'"==""&"`restscore'"==""&&"`logistic'"=="" {
local score="score"
}
forvalues i=1/`nbitems' {
qui replace `varscore'=`varscore'+``i''
qui su ``i''
local modamax`i'=r(max)
if r(min)!=0 {
local flag=1
}
local scoremax=`scoremax'+`modamax`i''
if `modamax`i''!=1 {
local flagbin=0
}
}
if `flag'==1 {
di as error "The lower modalities of the item must be 0"
exit
}
qui su `varscore'
local maxscore=r(max)
forvalues i=0/`maxscore' {
qui count if `varscore'==`i'
local nscore`i'=r(N)
}
if "`flagbin'"!=""&"`logistic'"!="" {
di as error "The logistic option is impossible with polytomic items"
exit
}
global score
global restscore
global logistic
forvalues i=1/`nbitems' {
if "`score'"!="" {
local y`i'
forvalues k=1/`modamax`i'' {
tempvar propscore`i'`k' tmp
if "`cumulative'"!="" {
gen `tmp'=``i''>=`k'
bysort `varscore' : egen `propscore`i'`k''=mean(`tmp')
label variable `propscore`i'`k'' "Item ``i''>=`k'"
}
else {
gen `tmp'=``i''==`k'
bysort `varscore' : egen `propscore`i'`k''=mean(`tmp')
label variable `propscore`i'`k'' "Item ``i''=`k'"
}
local y`i'="`y`i'' `propscore`i'`k''"
local style="solid"
local color="black"
local width="medthick"
if `modamax`i''==1&"`ci'"!="" {
tempvar icscoreminus icscoreplus
gen `icscoreminus'=`propscore`i'1'-1.96*sqrt(`propscore`i'1'*(1-`propscore`i'1')/`nscore`i'')
gen `icscoreplus'=`propscore`i'1'+1.96*sqrt(`propscore`i'1'*(1-`propscore`i'1')/`nscore`i'')
label variable `icscoreminus' "Lower 95% confidence interval"
label variable `icscoreplus' "Upper 95% confidence interval"
local y`i'="`icscoreminus' `icscoreplus' `propscore`i'1'"
local style="dash dash solid"
local color="red red black"
local width="thin thin medthick"
}
if `modamax`i''==1&"`test'"!="" {
qui regress `propscore`i'1' `varscore'
local p=Fden(e(df_m),e(df_r),e(F))
if `p'<0.0001 {
local note="Test: slope=0, p<0.0001"
}
else {
local p=substr("`p'",1,6)
local note="Test: slope=0, p=`p'"
}
}
}
qui graph twoway (line `y`i'' `varscore', clpattern(`style') clcolor(`color') clwidth(`width')) if `varscore'!=0&`varscore'!=`maxscore' , note("`note'") ylabel(0(.25)1) xlabel(0(1)`scoremax') name(score`i',replace) title("Trace of the item ``i'' in fonction of the score") ytitle("Rate of positive response") `draw'
global score "$score score`i'"
if "`scorefiles'"!="" {
graph save score`i' `repfiles'\\`scorefiles'``i'' ,`replace'
}
}
if "`restscore'"!="" {
local y`i'
tempvar restscore`i'
gen `restscore`i''=`varscore'-``i''
label variable `restscore`i'' "Rest score with respect to the item ``i''"
forvalues k=1/`modamax`i'' {
tempvar rtmp proprestscore`i'`k'
if "`cumulative'"!="" {
gen `rtmp'=``i''>=`k'
bysort `restscore`i'': egen `proprestscore`i'`k''=mean(`rtmp')
label variable `proprestscore`i'`k'' "Item ``i''>=`k'"
}
else {
gen `rtmp'=``i''==`k'
bysort `restscore`i'': egen `proprestscore`i'`k''=mean(`rtmp')
label variable `proprestscore`i'`k'' "Item ``i''=`k'"
}
local y`i'="`y`i'' `proprestscore`i'`k''"
local style="solid"
local color="black"
local width="medthick"
if `modamax`i''==1&"`ci'"!="" {
tempvar icrestscoreminus icrestscoreplus
qui su `restscore`i''
local maxrestscore=r(max)
forvalues l=1/`maxrestscore' {
qui count if `restscore`i''==`l'
local nrestscore`i'=r(N)
}
gen `icrestscoreminus'=`proprestscore`i'1'-1.96*sqrt(`proprestscore`i'1'*(1-`proprestscore`i'1')/`nrestscore`i'')
gen `icrestscoreplus'=`proprestscore`i'1'+1.96*sqrt(`proprestscore`i'1'*(1-`proprestscore`i'1')/`nrestscore`i'')
label variable `icrestscoreminus' "Lower 95% confidence interval"
label variable `icrestscoreplus' "Upper 95% confidence interval"
local y`i'="`icrestscoreminus' `icrestscoreplus' `proprestscore`i'1'"
local style="dash dash solid"
local color="red red black"
local width="thin thin medthick"
}
if `modamax`i''==1&"`test'"!="" {
qui regress `proprestscore`i'1' `varscore'
local p=Fden(e(df_m),e(df_r),e(F))
if `p'<0.0001 {
local note="Test: slope=0, p<0.0001"
}
else {
local p=substr("`p'",1,6)
local note="Test: slope=0, p=`p'"
}
}
}
local restscoremax=`scoremax'-`modamax`i''
qui graph twoway (line `y`i'' `restscore`i'', clpattern(`style') clcolor(`color') clwidth(`width')), note("`note'") ylabel(0(0.25)1) xlabel(0(1)`restscoremax') name(restscore`i',replace) title("Trace of the item ``i'' in fonction of the restscore") ytitle("Rate of positive response") `draw'
global restscore "$restscore restscore`i'"
if "`restscorefiles'"!="" {
graph save restscore`i' `repfiles'\\`restscorefiles'``i'' ,`replace'
}
}
if "logistic"!="" {
qui logistic ``i'' `varscore'
tempname coef
matrix `coef'=e(b)
local pente`i'=`coef'[1,1]
local intercept`i'=`coef'[1,2]
tempvar logit`i'
gen `logit`i''=exp(`intercept`i''+`pente`i''*`varscore')/(1+exp(`intercept`i''+`pente`i''*`varscore'))
label variable `logit`i'' "Item ``i''"
sort `varscore'
global logistic "$logistic `logit`i''"
}
}
if "`drawcomb'"!="" {
local drawcomb="nodraw"
}
if "`score'"!="" {
graph combine $score , title("Trace of the items in function of the score") name(score,replace) `drawcomb'
if "`scorefiles'"!="" {
graph save score `repfiles'\\`scorefiles' ,`replace'
}
}
if "`restscore'"!="" {
graph combine $restscore , title("Trace of the items in function of the restscores") name(restscore,replace) `drawcomb'
if "`restscorefiles'"!="" {
graph save restscore `repfiles'\\`restscorefiles' ,`replace'
}
}
if "`logistic'"!="" {
graph twoway (line $logistic `varscore'), ylabel(0(0.25)1) xlabel(0(1)`nbitems') title("Logistic traces") ytitle("") name(logistic,replace) `drawcomb'
if "`logisticfile'"!="" {
graph save logistic `repfiles'\\`logisticfile' ,`replace'
}
}
end