use "E:\Projet OH\SNF\TREE1\TREE1_small_with_classification_20042022.dta" svyset _n [pweight=Pond], vce(linearized) singleunit(missing) label define Classif_5 1 "Light" 2 "Heavy" 3 "Indécis" 4 "Abstinent" 5 "Light2heavy" label val Classif_5 Classif_5 gen classheavy=. replace classheavy=0 if (Classif_5==2 | Classif_5==5) replace classheavy=1 if (Classif_5==4) gen classlight=. replace classlight=0 if (Classif_5==1 | Classif_5==3) replace classlight=1 if (Classif_5==4) gen t1drink=. replace t1drink=0 if (t1drug1==1) replace t1drink=1 if (t1drug1==2) replace t1drink=2 if (t1drug1>2 & t1drug1<6) gen t2drink=. replace t2drink=0 if (t2drug1==1) replace t2drink=1 if (t2drug1==2) replace t2drink=2 if (t2drug1>2 & t2drug1<6) gen age2=age/12 gen parents=. replace parents=0 if (famstruc==2) recode parents 0=0 else=1 gen parentsR=. replace parentsR=0 if (parents==1) replace parentsR=1 if (parents==0) gen sibs=. replace sibs=0 if (nsib==0) replace sibs=1 if (nsib==1) replace sibs=2 if (nsib>=2) gen sibsord=. replace sibsord=0 if (brthord<2) replace sibsord=1 if (brthord>=2) gen gymnasien=. replace gymnasien=1 if (t1educ22==8) recode gymnasien 1=1 else=0 gen ase1=. replace ase1=1 if (t1grad==2 | t1grad==3) recode ase1 1=1 else=0 label define ase1 0 "Autre" 1 "Oui" label value ase1 ase1 gen ase2=. replace ase2=1 if (t1crit06==2 | t1crit06==3) recode ase2 1=1 else=0 label define ase2 0 "Autre" 1 "Oui" label value ase2 ase2 gen ase3=. replace ase3=1 if (t1crit07==2 | t1crit07==3) recode ase3 1=1 else=0 label define ase3 0 "Autre" 1 "Oui" label value ase3 ase3 gen ase4=. replace ase4=1 if (t1crit11==2 | t1crit11==3) recode ase4 1=1 else=0 label define ase4 0 "Autre" 1 "Oui" label value ase4 ase4 gen ase5=. replace ase5=1 if (t1crit12==2 | t1crit12==3) recode ase5 1=1 else=0 label define ase5 0 "Autre" 1 "Oui" label value ase5 ase5 gen asescale=ase1+ase2+ase3+ase4+ase5 alpha ase1 ase2 ase3 ase4 ase5 alpha t1grad t1crit06 t1crit07 t1crit11 t1crit12 gen asegr=. replace asegr=0 if (asescale==0) replace asegr=1 if (asescale>0) label define asegr 0 "Aucune" 1 "Au moins 1" label value asegr asegr gen family=. replace family=1 if (famstruc==2) recode family 1=1 else=0 gen track=. replace track=1 if (t1educ22==2 |t1educ22==3 |t1educ22==4) replace track=2 if (t1educ22==5 |t1educ22==6 |t1educ22==7) replace track=3 if (t1educ22==8) replace track=4 if (t1educ22==1 |(t1educ22>=9 & t1educ22<=22)) replace track=5 if (t1educ22>22) label define track 1 "Apprentissage" 2 "Ecole supérieure" 3 "Gymnase" 4 "Autre" 5 "Rien" label val track track recode t1clev03 2=1 else=0 recode t1clev05 2=1 else=0 recode t1clev06 2=1 else=0 recode t1clev07 2=1 else=0 recode t1clev08 2=1 else=0 recode t1clev09 2=1 else=0 recode t1clev10 2=1 else=0 gen ASE= t1grad +t1crit06+ t1crit07 +t1crit11+ t1crit12 alpha t1grad t1crit06 t1crit07 t1crit11 t1crit12 gen stomac=. replace stomac=0 if (t1heal1==1 | t1heal1==2) replace stomac=1 if (t1heal1==3 | t1heal1==4) gen appetit=. replace appetit=0 if (t1heal2==1 | t1heal2==2) replace appetit=1 if (t1heal2==3 | t1heal2==4) gen concentre=. replace concentre=0 if (t1heal3==1 | t1heal3==2) replace concentre=1 if (t1heal3==3 | t1heal3==4) gen dos=. replace dos=0 if (t1heal4==1 | t1heal4==2) replace dos=1 if (t1heal4==3 | t1heal4==4) gen vertige=. replace vertige=0 if (t1heal5==1 | t1heal5==2) replace vertige=1 if (t1heal5==3 | t1heal5==4) gen dormir=. replace dormir=0 if (t1heal6==1 | t1heal6==2) replace dormir=1 if (t1heal6==3 | t1heal6==4) gen nerveux=. replace nerveux=0 if (t1heal7==1 | t1heal7==2) replace nerveux=1 if (t1heal7==3 | t1heal7==4) gen fatigue=. replace fatigue=0 if (t1heal8==1 | t1heal8==2) replace fatigue=1 if (t1heal8==3 | t1heal8==4) gen céphale=. replace céphale=0 if (t1heal9==1 | t1heal9==2) replace céphale=1 if (t1heal9==3 | t1heal9==4) gen t1tabac=. replace t1tabac=1 if (t1drug2>1 & t1drug2<6) recode t1tabac 1=1 else=0 gen t1maria=. replace t1maria=1 if (t1drug4>1 & t1drug4<6) recode t1maria 1=1 else=0 gen sex2=. replace sex2=1 if (sex==2) replace sex2=2 if (sex==1) label define sex2 1 "Male" 2 "Female" label val sex2 sex2 gen swiss=. replace swiss=0 if (st16n01==1) replace swiss=1 if (st16n01>1) gen swiss2=. replace swiss2=1 if (st16n01==1) replace swiss2=0 if (st16n01>1) gen notesinsuf=. replace notesinsuf=0 if (t1grad==1) replace notesinsuf=1 if (t1grad>1) gen notesinsuf2=. replace notesinsuf2=1 if (t1grad==2 | t1grad==3) recode notesinsuf2 1=1 else=0 gen estsoi=t1sele1+t1sele2+t1sele3+t1sele4+t1sele5 gen depre=t1seld1+t1seld2+t1seld3+t1seld4+t1seld5 gen positif=t1posl1+t1posl2+t1posl3+t1posl4+t1posl5 gen soutiensoc= t5pasi1+t5pasi2+t5pasi3+t5pasi4 svy linearized: tab Classif_5 sex2, count col row svy linearized: mean age2, over (Classif_5) svy linearized: regress age2 Classif_5 svy linearized: tab reg_ling Classif_5, count col row svy linearized: tab Classif_5 agglo, count col row svy linearized: tab Classif_5 parents, count col row svy linearized: tab Classif_5 sibs, count col row svy linearized: tab Classif_5 sibsord, count col row svy linearized: tab Classif_5 swiss, count col row svy linearized: tab Classif_5 notesinsuf2, count col row svy linearized: tab asegr Classif_5, count col row svy linearized: tab track Classif_5, count col row svy linearized: tab t1clev03 Classif_5, count col row svy linearized: tab t1clev05 Classif_5, count col row svy linearized: tab t1clev06 Classif_5, count col row svy linearized: tab t1clev07 Classif_5, count col row svy linearized: tab t1clev08 Classif_5, count col row svy linearized: tab t1clev09 Classif_5, count col row svy linearized: tab t1clev10 Classif_5, count col row svy linearized: tab asegr Classif_5, count col row svy linearized: tab stomac Classif_5, count col row svy linearized: tab appetit Classif_5, count col row svy linearized: tab concentre Classif_5, count col row svy linearized: tab dos Classif_5, count col row svy linearized: tab vertige Classif_5, count col row svy linearized: tab dormir Classif_5, count col row svy linearized: tab nerveux Classif_5, count col row svy linearized: tab fatigue Classif_5, count col row svy linearized: tab céphale Classif_5, count col row svy linearized: tab t1tabac Classif_5, count col row svy linearized: tab t1maria Classif_5, count col row svy linearized: mean estsoi, over (Classif_5) svy linearized: regress estsoi Classif_5 svy linearized: mean depre, over (Classif_5) svy linearized: regress depre Classif_5 svy linearized: mean positif, over (Classif_5) svy linearized: regress positif Classif_5 svy linearized: mean soutiensoc, over (Classif_5) svy linearized: regress soutiensoc Classif_5 ****MULTIVARIE/3 THE GOOD ONE svy linearized: mlogit Classif_5 sex2 age2 agglo swiss2 i.track t1clev03 t1clev07 t1tabac t1maria, rrr base(4) svy linearized: mlogit Classif_5 sex2 age2 agglo swiss2 i.track t1clev03 t1tabac t1maria, rrr base(4) svy linearized: mlogit Classif_5 sex2 age2 agglo swiss2 i.track t1clev03 t1tabac, rrr base(4) svy linearized: mlogit Classif_5 sex2 agglo swiss2 i.track t1clev03 t1tabac, rrr base(4) ***ABSTINENT vs. HEAVY svy linearized: tab classheavy sex2, count col row svy linearized: mean age2, over (classheavy) svy linearized: regress age2 classheavy svy linearized: tab reg_ling classheavy, count col row svy linearized: tab classheavy agglo, count col row svy linearized: tab classheavy parentsR, count col row svy linearized: tab classheavy sibs, count col row svy linearized: tab classheavy sibsord, count col row svy linearized: tab classheavy swiss2, count col row svy linearized: tab classheavy notesinsuf2, count col row svy linearized: tab track classheavy, count col row svy linearized: tab t1clev03 classheavy, count col row svy linearized: tab t1clev05 classheavy, count col row svy linearized: tab t1clev06 classheavy, count col row svy linearized: tab t1clev07 classheavy, count col row svy linearized: tab t1clev08 classheavy, count col row svy linearized: tab t1clev09 classheavy, count col row svy linearized: tab t1clev10 classheavy, count col row svy linearized: tab asegr classheavy, count col row svy linearized: tab stomac classheavy, count col row svy linearized: tab appetit classheavy, count col row svy linearized: tab concentre classheavy, count col row svy linearized: tab dos classheavy, count col row svy linearized: tab vertige classheavy, count col row svy linearized: tab dormir classheavy, count col row svy linearized: tab nerveux classheavy, count col row svy linearized: tab fatigue classheavy, count col row svy linearized: tab céphale classheavy, count col row svy linearized: tab t1tabac classheavy, count col row svy linearized: tab t1maria classheavy, count col row svy linearized: mean estsoi, over (classheavy) svy linearized: regress estsoi classheavy svy linearized: mean depre, over (classheavy) svy linearized: regress depre classheavy svy linearized: mean positif, over (classheavy) svy linearized: regress positif classheavy svy linearized: mean soutiensoc, over (classheavy) svy linearized: regress soutiensoc classheavy svy linearized: logit classheavy sex2 age2 agglo parentsR swiss2 i.track t1clev05 t1clev09 fatigue t1tabac t1maria, or svy linearized: logit classheavy sex2 age2 agglo parentsR swiss2 i.track t1clev09 fatigue t1tabac t1maria, or svy linearized: logit classheavy sex2 agglo parentsR swiss2 i.track t1clev09 fatigue t1tabac t1maria, or svy linearized: logit classheavy sex2 agglo parentsR swiss2 i.track fatigue t1tabac t1maria, or svy linearized: logit classheavy sex2 agglo parentsR swiss2 i.track fatigue t1tabac, or svy linearized: logit classheavy sex2 parentsR swiss2 i.track fatigue t1tabac, or svy linearized: logit classheavy sex2 swiss2 i.track fatigue t1tabac, or ***ABSTINENT vs. LIGHT svy linearized: tab classlight sex2, count col row svy linearized: mean age2, over (classlight) svy linearized: regress age2 classlight svy linearized: tab reg_ling classlight, count col row svy linearized: tab classlight agglo, count col row svy linearized: tab classlight parentsR, count col row svy linearized: tab classlight sibs, count col row svy linearized: tab classlight sibsord, count col row svy linearized: tab classlight swiss2, count col row svy linearized: tab classlight notesinsuf2, count col row svy linearized: tab track classlight, count col row svy linearized: tab t1clev03 classlight, count col row svy linearized: tab t1clev05 classlight, count col row svy linearized: tab t1clev06 classlight, count col row svy linearized: tab t1clev07 classlight, count col row svy linearized: tab t1clev08 classlight, count col row svy linearized: tab t1clev09 classlight, count col row svy linearized: tab t1clev10 classlight, count col row svy linearized: tab asegr classlight, count col row svy linearized: tab stomac classlight, count col row svy linearized: tab appetit classlight, count col row svy linearized: tab concentre classlight, count col row svy linearized: tab dos classlight, count col row svy linearized: tab vertige classlight, count col row svy linearized: tab dormir classlight, count col row svy linearized: tab nerveux classlight, count col row svy linearized: tab fatigue classlight, count col row svy linearized: tab céphale classlight, count col row svy linearized: tab t1tabac classlight, count col row svy linearized: tab t1maria classlight, count col row svy linearized: mean estsoi, over (classlight) svy linearized: regress estsoi classlight svy linearized: mean depre, over (classlight) svy linearized: regress depre classlight svy linearized: mean positif, over (classlight) svy linearized: regress positif classlight svy linearized: mean soutiensoc, over (classlight) svy linearized: regress soutiensoc classlight svy linearized: logit classlight sex2 age2 parentsR swiss2 i.track t1clev03 t1clev05 t1clev09 fatigue, or svy linearized: logit classlight age2 parentsR swiss2 i.track t1clev03 t1clev05 t1clev09 fatigue, or svy linearized: logit classlight age2 parentsR swiss2 i.track t1clev05 t1clev09 fatigue, or svy linearized: logit classlight parentsR swiss2 i.track t1clev05 t1clev09 fatigue, or svy linearized: logit classlight parentsR swiss2 i.track t1clev09 fatigue, or svy linearized: logit classlight parentsR swiss2 i.track fatigue, or ***T1 & T2 svy linearized: tab t1drink, count col svy linearized: tab t2drink, count col svy linearized: tab t1drink t2drink, count col row