Annotation of imach/src/imach.exe, revision 1.10
1.1 lievre 1: MZ @ !&L!This program cannot be run in DOS mode.
1.10 ! brouard 2: $ PE L& TD 0 &8 & ^ p & @ & p T .text 0& & `.data & & @ .rdata `S & T & @ @.bss P .idata T p ( @ U]U1ۉu1 = wC= r[& $ 1҉T$& &tzt$ л؋u]] = twJ= t؋u]] = t[= u$ 1t$`& &tjt$ = $ & L$0& v#& l$ 1ɉL$ & &t0R$ ?$ & D$& %$ & \$& ' US$]$ @ & & E PB U\$
A D$T$L$ $PB & PB tXA qB t PB D$ qB K0 $F& qB t PB \$
qB QP$ & & A & & L$ PB T$PB $2& & $& D$qB B$& qB Uv ' U$& qB & U$ qB & U
qB ]t& U
qB ]ᐐU(}}]utzM $ & ]
! 3: T$u >Ձޱ&1 $t$D$ & Éֹ@B L$1҉T$ $t$& 1ɸ@B D$L$ $t$& G} t:58PB t?
qB 1M ] &)qB C]1u}]& 8PB 봍v UWVS $E& E E\ L$$& X& $s& Ǻ \$M $E& 4$]E)\$D$
& 3 t$$ A & 4$!& |\t\D& t$$A & u. T$4$& tG} p&t$<$& U$& 4$& @M)É\$EL$$y& }; 1҃ [^_]Ë}]|$ $t& 4$& T$& tʉt$$ A ,v ' UWVS 1ۋu }4$7& 9 < \tC9~ [^_]Í /C' UVS1E uE4$& 19E8B&9~[^]
UWVS 1EE }E<$& P9w(v UC&8 t8T &tuÉ<$d& P9vۉ<$S& 1 M B;U|U1ɋE9 .X&]' 9MU)Ӊ]U DA9~ [^_]ÉE놉U &
qB T$D$@L$ $)A & qB 5A MT$@L$$_& $& C& v US]U )ڍ $& t )[B]$)A qB L$& T$@\$ 5A :& \$
qB 9A D$@ $& $& & UE U&ЃE]v& US]U )ڍ $b& t )[B]$)A qB L$& T$@\$ 5A & \$
qB VA D$@ $ & $& & UE U&ЃE]& US]U )ڍ $& t )[B]$)A qB L$& T$@\$ 5A & \$
qB VA D$@ $l& $& P& UE U&ЃE]& UWVS } M]U))Ӎp&C ]$& tcMXU)Ӎ $& MU)ȉB9M& D&ȉB9~ [^_]$)A qB \$& tA |$@T$ ȿ& t$qB 5A t$@$Z& $& >& M& A qB \$|$@D$ $)A e& t$
U]] Muu\D$& ]u]]& & UWVS } M]U))Ӎp&C ]$o& tcMXU)Ӎ $K& MU)ȉB9M& D&ȉB9~ [^_]$)A qB \$& tA |$@T$ H& t$qB 5A t$@$ڿ& $& 辿& M& A qB \$|$@D$ $)A & t$
U]] Muu\D$(& ]u]]& & UWVS,uE U M})]p&) $)AMBU& & Ux])ߍ $轾& U& UXM )ӋU B9ʉU Mv \&ˉ B;U ~E UE $`& Uu uU])B9ډU ]& D&؉B;U~];] FMUuMM萋MDEM
! 4: D&A;M~C;] ~Ӄ,[^_]$)A
qB t$& A \$@L$ & |$qB 5A T$@$茽& $& p& E
qB & t$|$@L$ $)A 蛻& A D$$)A
qB & T$ \$@L$ e& tA D$b& Uuu E }}]] L $裼& t\ $萼& u]u}]|& U^B L$$ gB 赼& $ gB 蹺& $ gB / f gB ED$& ɸ gB Ív U^B D$$ gB e& $ gB i& $ gB U / f gB T$ʻ& $ gB ED$跻& ɸ gB U^B D$$ gB & $ gB & $ gB M / f gB L$j& $ gB UT$W& $ gB ED$D& ɸ gB Í ' UVS fB J $2& tK5fB & 9
hB _B E @9~ $YB $]ۺ& E [^]$)A
qB T$& 9A D$5A @L$ & t$
qB \$@ $賺& $& 藺& & UVS u EE] U ]E& UU$ݝx݅xUU]Љ' ݕptݝxpEUĉMEM$$. EA A U]]&& qB $q& $.
pbB L$˷& pbB $M& Ee݅xE
A mٞ EE EEEEeevEE]
A ٞsfEsXE۞sFEE]۞& Eٞ& 2 EٞP& E]E
A ]EE & E.& E$]ݝxEE݅x UEE]E]]]]C $)A qB & L$ 5A D$@\$ & t$ qB A T$@ $p& $& T& t& vGUEs EuNzLEE]]]PEEUUeEEsEztLEu{EUċMMUIuEEB]U Eɋu, Ġ [^]
UWVS,E] }u $U M $U UvMU& U"
A $U E & ʋUM"&!ڞ A HPB ɞ XPB
! 5: &
(A
,A ٞ ٞ ۞rQ$]U EEUM & ٞ,[^_]Ðt&
A A HPB ɞ XPB v 8A v 0A v H$]U E؋M &4U #
A UWVSlE}u fB $誳& & hB $蕳& & _B & ];E YB %
hB ' @;E~ @ U]]L$T$E؉\$UȉD$ MЉT$]]ȉL$ $@A @ ED$$L$\$ E\$E\$E $Z& U;E!E& @;E~؋=_B <$茲& 5hB 4$~& l[^_]$)A qB L$& 9A |$5A @D$ °& t$qB \$@$Y& $& =& ' UE.(M}uų]] <
1.9 brouard 6: $)iQ& |$) 4
1.10 ! brouard 7: )Ɖt$ i )щȺ &)T$))L$HA D$Q& ؋u]}]ÉUWVSlEE E $W& E $D& E $1& $ & E E$U$] &
Uu @;E~M && ]Ћ
[B [B ]؍U
@QB DQB $E 螱& u
! 8: L$EuUEu >Չ$ޱ&1ۉ\$ t$b& T$1ɉL$ @B ։ $D$C& [B @B 1 $T$D$ t$胫& [B 8PB qB
! 9: ȉ 롈qB &
@QB ) aB [B PdB aB Ƌ] ))ȋU t$D$& \$2$xA t$& qB $n& ;]fEA ؉\$$A \$躯& MpbB ى\$t$$\$ z& EA 5 dB CL$4$\$X& ;]~$
! 10: w& $
! 11:
pbB L$Q& $
! 12: 5 dB t$;& dB $轮& ] ;& & ;] M && ' &
u B;U~]ȉ\$$A Ԯ& qB $S& \$5pbB A D$4$舮&
pbB $*& |$U$E uMT$D$ t$ $fEȋU Eٞv]؉]C;]L ] EEM M 9 & %]uU @;E~M $U$E EЋu Eez EhPB " EUٞ E U $[B 虬& fB X fB H
fB p 5fB PfB X fB H
fB p 5fB P $fB fB -& D$$\B ͬ& $\B [B [B WB WB 軪& \B
! 13: 7
@QB [B ] )ȉD$3$A t$A c& [B @QB M )ЉD$ t$pbB \$$& E
! 14: E @QB Uċ[B $WB )ʉ)&УWB r& aB H
aB X aB p 5aB PaB H
aB X aB p 5aB P $aB bB & D$$`dB 覫& $`dB 誩& _dB
! 15: & $ gB 5[B E.
WB )ų4
! 16: )iހQ& t$HA t$) & )i \$ gB )MEыU& )щȉL$))EUT$`& \$Mĺ`dB T$ \B D$L$$A 跪& $ gB 5[B E.
WB )ų4
! 17: )iހQ& t$HA t$)پA ȉ& )i \$ )MEыU &)ʉL$))UED$蚩& t$\B ]ĉT$pbB `dB D$ gB L$ \$$Ʃ& E
! 18: } & 8PB cƀ_dB :)؉|$Uu$M ]$t$L$ \$x& ;U ] uM] B9 ~ ƀ\B M<$& u4$ި& M $Ө& }<$Ȩ& e[^_]$)A qB T$& A t$@\$ & |$qB 5A L$@$裨& $& 臨& $)A
qB T$& 9A |$@L$ 跦& t$륐UWVS<EE& } u9E
A U&IUM̉MȻ& ;]}jEU EMHEА& & 94UEUU&؍DƋUDt& A9~M C;]|؋E@9EE|bUE UMJUԹ& 94UEUU&؍DƋUDt& A9~M C9]}؋]؋E]9 ؿ& 9 E & 9E } E4C $芧& E]9|
A W&uU&9|'E C $W& E]
A u&9}]& E9]u Eu&9|) $& M
A FE&9}};}+uEF&9} E<[^_]Ë
A uEF&9|Ã&& |)} 1|B ? 9Ӊ|}F9}ƋE<[^_] $_& M F9|
A $v UWVSEU} E9bM ;M$OuU U1D9&uE 4uu(u B9 ~A;M$~EM9M~E[^_]Ív ' UW& VS E E A &&|1ÉJ& |} 9t @9}A9} A E 5A E ?%A ] U5,PB & U 9Uu-0]B U,=QB 5 YB \A;M~ (PB & 9
RB E<B9L\~
VB & 9ωM YB 50]B U,|
VB fB ME]U]M4GB |MdB|d P$;}\~U E=eB
hB T$]<$L$\$ D$ݝhE& 5A } Ex&9}݅h & 9]Eu & 1t97Eu`t& ' u ȋ` B9 ~A9~E9}~& M ;u }M } ~WE$B& A 5A Eٞļ [^_]þ& M ;u }M } & ;] } ' & ;x!E D& B;x~U E<\ HPB XPB w1HPB \wC;] ` XPB kHPB XPB w.F;u E$؋Eļ [^_]믍t& U& WVS A xxE &&|RtJ& |-](U4 9t 9t@9}ߋtA9}E& M 9M E& }uO9u}" }]]uU$ߋ=,PB E,EL3Q& $95A E]2 QB 0]B U0]5 YB U\A9~ (PB & 9
RB E4B9L\~
VB & 9ωM YB 0]B U0p
VB 5fB M|]U|M4GB pMdBpd P$;}\~xE} D$U ] &
hB 5eB T$\$ L$4$E& 9}Em& 9\EU, & 1t97uE(4`t& ' u` B9 ~A9~E9}~E}](9}M],M(A xA x& xlE &&|K\&& |#l]E4 ӋB}9 }l\l9}EJEļ [^_]Í& UW& VS& A ݝp9Љ 11ۉtŨ\Ŭ@; ~RB &t _
! 19: ݕP1ۺ& \L gB 9\t ؋5 dB X
,PB & 99=QB =\B \$ݜxB9~ً\& XP IIm aB HA & T&Ѓ&|^=YB =0bB J& |+ 9t 9t @9}ދA9}؋5PaB 1ҋPD\ YB
0bB @LPHL0aB \ [B A <D4Ë(PB P$5A ι& 9ݕx RB =QB 5\B ݅x \A; ݜx~ҋTh D$ ]& hB 5eB L$\$ T$4$ & 9& 9hL t& & 1t9:@4 t& B9 ~A9~9~DLPaB P YB <\ L5[B 0bB D9 @5YB =A 5A aB TH=A
gB d9d
! 20: & DŨ@; ~ۅLܵP& [^_]ݕP& 1
gB 9L؋ dB | ,PB & 98QB =\B $ݜxB9~ً& |t KK
aB l A & x&&|b=YB 50bB J& |+ 9t 9t @9}ދA9}؋ PaB 1ҋth n YB
0bB dptlp0aB [B A <h4Ë(PB P$5A ι& 9ݕxS RB =QB 5\B ݅x A; ݜx~ҋxh D$ ]& hB 5eB L$\$ T$4$$& 9 & 9g p & 1t9= d4 & $ B9 ~A9~ 9 ~hpPaB t YB ` p5[B 0bB h9 d5YB R =A A 5aB xlݕP& 1ۉ
gB 9L'؋5 dB ,PB & 98QB =\B $ݜxB9~ً& KK
aB A & && 0bB Ƌ=YB J& |1 9t Ë9t @9}؋A9}؋=PaB 1 4U 5YB 0aB
[B
A < (PB & P$95A ݕx RB =QB 5\B ݅x A; ݜx~ҋh D$ ]&ϋ hB
eB t$& \$ T$ $[<9<@ & 9o< t& ' & 1t9:<4 t& @ B9 ~A9~<9<vPaB YB 5[B 0bB 9 5YB H =A
A aB ݕP&
gB 19L؋ dB ,PB & 98QB =\B $ݜxB9~ً& KK<
aB A & && 0bB Ƌ=YB J& |1 9t Ë9t @9}؋A9}؋=PaB 1 4 5YB 0aB
[B
A < (PB & P$95A ݕx4 RB =QB 5\B ݅x A; ݜx~ҋh D$ ]&ϋ hB
eB t$& \$ T$ $4948z& 9c4 & 1t9944 t& 8 B9 ~A9~494~PaB YB 5[B 0bB 9 5YB =A
A aB ݕP1ɿ& L
gB d9 ؋5 dB ,PB & 9>=QB \B dݜxB9~ًd& ` KK5aB =A & &&|b YB =0bB J& |+ 9t 9t @9}ދA9}؋=PaB 1ҋ`\d4o YB 50bB `
[B
A 0aB \d<& =(PB P$95A ݕx& QB RB 5\B ݅x A9d ݜx~Ћh D$ U&ϋ hB
eB t$& T$ \$ $\D9DH & 9pD & 1t9:D4 t& H B9 ~A9~D9Du\PaB ` YB Xd 5[B 0bB \9 5YB ~L A =A
aB 6
A =aB A `d TB d D`4@bB ; 5 ظ& ; X@; ~ $9& ݅PaB L`d hB `TB 4ɋ ݝP5 dB ɋ DͨK;`\ͨ`
A =aB HPH\ TB D<44 $h& ݅P
aB PP hB H
TB dB LɉX ݝPɋ4J;PD\ 5A =aB A TB D45@bB 4A ٞV A < $Q& ݅PaB L
hB 5TB dB ɋ I;DݨݝP\ݨf 5A =aB A TB D4@bB 4A L ݕ(A <ݝ( $*& ܍(
0bB ݝ( $
! 21: & ݅(݅(݅PaB hB 4L
TB dB ʋ<ݝPODը;\ըD 5A A =aB llt TB D< ; V& 0bB `<4, $& ݅P5aB Lt= hB ltϋ=TB dB 4 ɋ|I;tDըݝP\ը 5A X50bB A < ء0bB X4<,A A $& =A gB \9\v`40bB CA
gB 9-=A
gB 90bB r=A
gB 9IUW& VS\& A ݝp9Љ@11ɉ\ŨLŬ@;@~gB & =gB `19` _B g ؋ dB 8
,PB & 99 QB 5\B `؉ݜxB9~ً`& 8\ II A & @H&&|b05YB =0bB 4J& |+4 9t 9t @9}ދ0A9}؋ PaB 1ҋ\X` =YB
0bB <DD5aB \
[B
A 0aB X` & W=(PB $950A ݕxB QB RB 5\B ,݅x,A9` ݜx~ЋHh@D$@U&ϋ hB
eB t$& T$ \$ $L9LP|& 9eLD & 1t9:L<4t& P B9 ~A9~L9L~XDPaB \ YB T` D5[B 0bB X9 <5YB A A @H&=A @=gB `9`gB ɸ& DŨ@;@~ _B 0hB P$u=ٽffaB f fd٭d UB ٭f\& [^_]t& =A @ A
aB \` TB < \D
@bB 4;@~
=RB ; RB & 1 ) T $& gB `
hB _B \aB gB TB 0hB ɅDŨ\Ũu;\
dB `8H;\ =A @L$ݝ& ݅0bB T
hB \$DPaB \$<\$4ɋ\\$$\$,` aB L$ t$
pVB A D$ \$ ZB T$ |$<t$|$ $& M~& ; A RaB A 5ZB DݨCUB ʉ|$ʉ4$\$ݝ}& ; A ݅ ZB 'A T$ $\$}& ظ& ;@ T@;@~؋
0bB T<,8A =0bB ݕT@A ݝ $|& ݅0bB ɋݝ $|& ݅݅o8A =0bB ٞvNT@A + T
0bB @A < @A T TUWVS u] M$]U(}MU }<$UUu [^_]Ë=ZB dB / <$dB l{& $ gB ^B D$'|& $ gB +z& \$/ HA f gB $ gB {& $ gB ^B L${& $ gB y& f gB |$$ gB R{& \$
YB gB T$ gB D$ $n{& 5YB u [^_] {& $dB ilk fB
dB T$z& $dB A D${& ZB D$ & \$& L$$A @y& \$ZB 4 D$& $A T$ y& 9#t& \$ZB A T$C$z& 9~$A ZB L$& |$\$ x& /$A dB L$z& pbB dB A T$D$ $?z& ZB t& U& WVS<}D$$& |$ |$GE& 96& & 9]9t @9~A9~$A w& pbB & \$pow T$ D$$A w& 5YB fB L$$YB 1y& $YB A T$y& dB r& D$ & L$& T$$#A xw& ;u\A ' E& &Ѓ&29t%\$ dB 9A t$L$$x& A EC&9}F;u~$
! 22: dB \$v& E |$UML$u$ED$] \$ T$t$ $u~<$Ax& E$6x&
dB $w& U $U$$DA ]\$\$Xx& u 4$|A U$}临A
pbB D$|$ $\$ x& U $U$t$]}\$<$\$ w& <[^_]$A YB A \$w& t$
pbB YB D$ $w& dB O& ' UWVSl EA } u$] ݝ& ݝUݜ@9~1ɉۅ $@\$& $ \$w& ݝ݅ݝZ& A & ڞ& ػ
1.9 brouard 23: C
1.10 ! brouard 24: t& ' SU$܍M ݝ$ݜM݅ܥ,ɉ$ݝݜ݅A ܥ˞ܵܵ
A ٻ
1.9 brouard 25: C
26: NFػ
1.10 ! brouard 27: A wv݅ݝC݅} l [^_]ÉUWVS\ ]}u $UE & ݝɸ& ݜ@;E ~ۅݜݝ$ݜUM ܥݝ݅<ݜ݅<,$ݜUE ܥݝ݅<,ݜ݅< $ݜUU ܥݝ݅<,ݜ݅<,$ݜU݅M ܥܥܥɃ
A ܍܍
A ف\ [^_]Í UWVS,] UM ]}UM$s& E M& ;ML& ;]!C;]wC;]~j& U A;M~ؾ& ;u & & 9}* & v B9| C9|;uL
& v B9|M rBى]C;]~;ut8& ;E ] t& @;E~tC;]뿋]M u z @A ;uN&t ;M4B;U ~;M؋}},[^_]q& ]EMs $)A qB t$& |$@\$ o& A T$
qB 5A D$@ $q& $& mq& $)A qB D$& 9A t$@\$ o& |$뤍& UW& VSu E ]9]1ҍ ' DMD ËEteE9| MLM쐍t& ËM @9}\GB9~؉~_& ' ˍA&96} @9~'zt}G\B9g믍v E4 I[^_]Í& UWVS\& \$}& $& |$ |$bE$HA #n& $tA
pbB , T$& D$L$ ;n& 9 $
! 28: n& $
! 29: 5pbB t$& m& $A m& $A pbB & L$= D$\$ m& |$ & T$|$$& 諮t$w E|$ |$$& 膮E $o& i $o& E E& 9}1& 9 uU܋ UUu @9~E9}~ω|$E؍UT$ MD$ $E& 9}& & t& 1t@9~E Mо& ?9 DW1ҍ& DM؋DMɅ & E9|MLMĐËM @9}\FB9~& v ' ˍA&9 u @9~ \$$A m& 5qB 4$]m& \$pbB A L$$m& pbB $5m& E\$ u |$MU t$L$\$$E܋4 C9~& 9_& 9
9& C9~FzuF\E4 I& v ӋuMЋB 9~E9}%$"A j& $4A
pbB D$& T$L$ j& E& 9} & 9HŰM܋$GA \$l& ŰM܋pbB GA $FD$\$=l& 9~$
! 30: ]j& $
! 31: 5pbB t$7j& E9}~E& 9}1& 9 uU UUu @9~E9}~ω|$Mut$ U؉ $T$uF$wk& 4$ok& }w4$ak& U$Vk& $Nk& M؉ $Ck& E܋x<$5k& ]܉ $*k& \[^_]É\$t$$MA ^k& qB $j& \$ pbB MA L$t$$k& pbB $j& \$ M U|$E L$T$$t$MU܋ C $)A qB L$& 9A T$@D$ h& |$qB 5A T$@$|j& $& `j& $)A
qB |$& VA t$@L$ h& \$륍v ' U VB ( A `A D$XB D$ EL$^B T$SA L$T$$i& Í& UWVS\& U ݕ ݝ $i&
! 32: $& Up E } T$ D$|$跨4]fX\$X $i& $A L$i& 0dB ;
! 33: $] T$
A u &ˉ|$t$\$ \$辩85,PB 1D=$PB @ & @& L9L< L& },H DE
A &ȃ|X؉Ã|7U 9|'8t& 1|B9}A9}ɋF9}& ;M 0E 9| 4 1ۉ\@9}A;M ~ݕ & U 9ݕ
& ,PB 1艵=$PB \B (@
0]B A = hB PB ݅ & V ; & E DM$ }( C!; ~N u 9dع VB A XB L$
0dB ^B |$`A SA t$D$ T$\$ $gf& =,PB $hA 0dB & \$ & D$ T$}d& ; $PB I}$D0]B }(4A C50dB L$D$ |$4$e& ; $PB ~$A 0dB L$& \$D$ d& & ;] %\$ 0dB A \$Ct$$e& ;] ~$
! 34: =0dB |$c& } 9{ 9 <& |$5pbB A \$4$-e& & ;] S؋u
A &j 8 ɋB9}C;] ~& ;] ~?& ك<&q \$
pbB A \$C\$ t$ $d& ;] y8 B~A ٞr<&
A ɉ\$A 5pbB \$CT$ D$4$\$d& ;] ~& ;] Ru A &Ƌ1҃ Z 8 & ɋB9}C;] ~ݕ(& ;U ݝ& ݅4ы B;U ݝ݅(ݝ(~ͻ& ;] A ݅6 <&r A 5pbB ؉\$\$
A ɉL$\$ 4$ܵ\$b& ;}\A ݅ ݅(A 4\$ \$ 0dB ݅(<|$t$$\$ b& C;] 1
A E &ȃ
' L <& ؋ A pbB \$ t$D$\$$b&
A U C&9 8ٞzuҋ; >ۅ& ݅܅ ݝ ݝF; & E0]4 ]<uzMAQ$ uz]S$ U ~c;M ^Nj4ٽVVf fT٭TP٭V Pȋ ; ]D 8 ٽVVf
fT٭TP٭VP ˋ]D\IF; vu 95HLE,H9<9L@9L݅
0dB ܵ $ PB ^& 8C] x&߃<$B_& 8V$._& 8 $ _& $_& 4~& $^& 4$^& \& [^_]ËE,& @@& &\$$ A _& \$
pbB A \$ $^& $ ^& $)A qB D$& 9A |$5A @T$ \& t$
qB \$@ $w^& $& 뤋E F&9 ;}>& <&T& $
! 35: 5pbB Gt$S\& \$ \$t$$A 6^& 8<&& \$HA 5pbB ؉\$L$4$\$ ]& ݅(bA 450dB \$C|$L$4$\$ ]& 1T$
A ʉ\$ݝ\$$A \$s]& ݅\$\$\$$A G]& i$
! 36: 0dB \$#[& <&$uA Z& \$ډ\$$HA \$\& ډ\$\$
A $A \$ܵ\$\& T$A pbB L$& \$D$ Z& ,$A 1҉<UZ& UWVS U0}M] UЋE }$UMu(]M4E܋]8}؋E<uԋ}Pf E@M̋uTEHɉ]ȉE]]}ufUE m]mEm]mM|L$ ]\$E$& D$ҚE5,PB =$PB E } E& u9u& E& ]E̋<&& E& ;MD& E9||+u
1ۉ\@9|}A;M~ľ& ;u
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1.9 brouard 67:
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pbB T$ D$ $调 ; hB t& T *B D$ً
RB T$ $薂 T $*B \$w TaB *B ى$D$\$- T
pbB *B CD$ $\$ ; hB VRB )B F\$$ $
! 98: $
! 99: aB D$׀ $
! 100:
pbB L$
A A \9 G9pbB 8$ Tq~Pd:G:#u}T$ & $# t$
RB $L$! $) $=aB |$ $pbB T$ RB BHBy$L RB #tT$& $螀 $& A & T$\$ \$;5 A X& |$
RB )B D$ $舀 =RB &
<$pbB & T$D =aB |$<$, 9 X *B D$ً
RB T$ $ =RB & X*B pbB ى$D$\$ɀ X*B ءaB T$C\$$袀 9v RB )B D$ $ =RB & $
! 101: pbB FT$~ $
! 102:
aB L$i~
A 9& 96w&9Ή, X X B9~싽,9~ʃ=RB & $
! 103: =pbB XB |$A } 5pbB 4$q $VB ^B r T$fVB a $VB } \$. fVB $VB 9 |$$VB PhB $`A *B T$L$B $YB "B D$ VB @aB K< <$~ 0s $& @aB & t$@|$ D$臼J4 4$~ r pVB $c~ ks fB $N~ Vs YB $9~ As p^B $$~ ,s ZB $~ s gB 4$} /r bB $} r hB & ?\B;~$& & T$ @aB t$ \$0cB =@aB & L$t$ |$$& Ǽ0XB @aB & t$ BT$D$$& TB $$ -} ,\q $$ } Hq cB & 1VB 8 & |$ $D${ & ; 89!%t u ȍ8)x8 8& Hy8&!%t u 8)эY 8
1.9 brouard 104: K 8
1.10 ! brouard 105: Ш&u
t1Ɉ 98# @aB ҉
! 106: 11ۍ84$z Í84$y H9wu 8 C&tڀ 9 uЉ̉t$|$$#B { $
! 107: y X$*B \$h{ S 8H8 $fy 18B9|119= _&9
8)wA9~y WB
! 108: t$xL$<$uy x bB WB ; 85TB <1ۉ$1D$z 8$x Í8$x P9w 8 C&tڀ 9 uЉ̍8 $Nx 18B9|119= _&9
8)wA9~䍵*B t$xL$ |$4$Ax u/4$*B T$,x
! 109: c ' ۅ
0XB 0cB 4 O ֍8ۅ ӉL$4$Fy 211ۍ8$6w Í8$$w P9w 8 C&tڀ 9 uЉ̍8 $v 18B9|119= _&9
8)wA9~䋍*B t$xL$ |$4$v u94$h*B D$T$v l c ' ۅZB 8
p^B ۅ 1ۉ|$14$w 84$u Í84$u ƍ@9w 8 C&tڀ 9 uЉ̍8 $u 18B9|119= _&9
8)wA9~䋍*B |$xL$ t$<$u u/<$*B T$u f c ' ۅ8YB
fB ۅ 1ۉ<$1t$v 84$t Í84$t ƍ@9w 8 C&tڀ 9 uЉ̍8 $|t 18B9|119= _&9
8)wA9~t
! 110: WB L$xt$<$t x £bB WB ; P8$ hB \$ $u ^B ҉<& 11ۍ84$s Í84$s P9w 8 C&tڀ 9 uЉ̍8 $Qs 18B9|119= _&9
8)wA9~s
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pVB |$$)B s N$
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aB 8 TB D$ A 5A L$= hB T$t$<$& 4\$$*B s pbB TB *B L$D$$r |$A & D$ A 5 hB T$&ىt$I& L$ $& S`= A t$$& |$ |$诱X"$H+B fB \$or *$p+B YB t$Ur =pbB 8+B D$8\$<$ r t$$+B r L$\$t$ |$$+B t$q $& q $+B @aB 8L$xT$\$t$|$ D$q 몉D$T$낉T$8t$$,B |$ D$`q m$
! 113: _o ;T$8|$t$D$ \$$-B VB $'p $@ K gB p d QB $@ up d VB $@ \p d RB L$& D$ |$$& fB $@ p Ld RB 81!%t u 8)ك&! $1& & 1 n 191ۀ8+B&9~썕81ۉ$m 1918*B&9~쉝F8 VB 8-B (5,PB 8T$ $lo t -B 88 $-B 8-B |$ o |$pbB \$$n T$8|$ $ .B t$D$r$.B 8T$xt$D$\$ L$A 8
aB \$ A TB T$5 hB L$D$4$o$/B TB L$Jn \$pbB /B D$$n wN $m _ $m <$m aB $Am pbB $3m $ m =dB &t,& ; hB ?t@;~$&
gB & |$@aB & L$ D$襬0aB gB 9O @aB 9~=&
p^B ٭٭c @aB F9&
0cB <ٽf
f٭٭cu=TB A 9q=0XB @ LL=ZB ٭٭=' ٭٭c&ZB ٭٭'
TB A <9\$pVB c D$ 4PB $d/B L$k =p^B 0B pVB ߋ=pbB \$ \$L$<$T$k TB ngB C9'& 9d 5A CB =p^B fB 5ZB
YB ߋ=gB <ɋ5PB ; =A G9
gB ٞ p^B ٽf f٭٭c ZB ٭٭' t[0aB < F;R& =TB Ш&0'
0aB 묃 CB =0cB 0XB
0aB < fB ɡYB 5HCB 5HCB ٽf
f٭٭ct>٭٭=' t ݅d& ݝ =0aB
A gB C9& 9 =A
A A TB =PB ; &
C; 9 $~߉L$4PB |$D$ <t$\$|$ $0B Uh
A A =TB L$0B D$ T$=pbB t$ \$T$L$<$g ݅<ٞݝNt& TB A 9;\$pVB 4PB T$ ٭\$٭٭\$٭$0B rg \$
pVB ZB <
p^B |$0B ءpbB ٽf f٭\$ ٭٭\$٭|$$f TB
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f٭٭ $=A -e S$ e 4$e fB $&e =YB <$d
p^B $d ZB $d gB J4 4$d Y dB =PB & T$5A gB $& )F\$ & t$mPaB PB & D$A
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PB A |$5gB $& )@t$ D$aB A A D$ 5gB =A \$,
PB @bB T$( 0aB gB t$$5TB |$ =PaB L$
dB T$D$ $\$t$|$ $& c W WB 1T$ |$t$$ N YB
cB A& ,PB ~T$gB QB D$ $$& & d T$
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dB 8t$, A YB t$ A $2B L$(=PB SB D$$ A \$ `A |$ fB L$\$ @[B |$_B t$_B D$_ \$P VB @[B L$X^B fB D$TXB fB |$LXB t$H^B L$@
dB D$< A \$8 A |$4=PB t$0YB t$5YB T$D8T$, SB L$( A D$$`A \$ fB |$ 2B L$T$\$8|$ VB 4$D$ ^ YB $t^ $8L$^ $^B D$a^ $^B \ ٽ
YB |$050XB $fB 0cB cB L$ RB t$,=gB 5A T$(0aB f \$$ TB D$ f݅T$٭\$٭|$t$\$ D$$
! 115: =YB |$[ UB 4B 5gB ݅ɉL$TB gB \$$YB ݅\$ t$ & \$T$ \$$] t$=A A $& &T$ T$蝜eB A & L$A $& &؉D$ D$n@XB =A & T$5A $& &t$ t$>cB A & L$A $& &؉D$ D$aB =@XB 5cB 0bB `=YB 15[B Z=RB =0hB K\ V@ aB =A \$ gB A t$ \ _B D$PhB 0hB T$L$\$& $|$ t$gB $l5B _B \$aB T$ \$ \ \߉\$C$5B \$[ ; A ~$
! 116: & Y 0hB V@ aB t$ gB A D$ 5 A _B T$\0hB L$PhB \$ & D$$|$t$gB $5B
_B \$aB L$ \$X[ $ \߉\$C$5B \$2[ ; A ~$
! 117: .Y
RB ~I A `=@ =A L$ hB 5 A \$\PhB |$\$ t$D$${ A dB 8t$<@aB
A D$8A =A T$4 ^B 5 A L$0PB D$PhB |$,YB \$( SB t$$5B \$ T$L$|$ & \$t$: $
Z |$PhB : L$$#B T$ :X $L#B W t$ pbB & D$& $#B \$ X & A 9
A
1.9 brouard 118: & &G
1.10 ! brouard 119: 9 9t|$W6B t$$W6B Y \$pbB & |$ t$$CY |$
PhB ]6B t$T$ $$Y ; hB \C$e6B \$Y e6B \ʋpbB D$\$$X e6B \ȋ
PhB T$\$ $X ; hB z$
! 120: V $
! 121:
pbB L$V $
! 122: PhB \$zV
A A $`A i6B |$ t$& %X fB p6B @[B D$T$ $X |$
fB t$$v6B L$ 7V (11ۍ84$U H9w! 8+C&t
! 123: 9+tΉljȍ8$U 19}8B119= _&9
8)wA9~䍽81ۉ<$nU 19É18+B&9~u8xt$ $&W * x1 $1ۉT$kU G x $U ƍ@9F x*C&t y*F $& & D$ \$|$貕44 4$7V lJ gB $V K \B $ V K 4$@hB U J gB & 9G
! 124: =A PB TB =A 9< B;~ F9=RB tE A `=@ PD$ A \\B X\$L$ \$T$4$$ $B =PhB & L$. & D$|$ & PS $#B S t$ pbB . T$& $ $B \$ S |A 9]&
A
1.9 brouard 125: & &G
1.10 ! brouard 126: 95& 9t|$ PhB #B \$& t$$rT |$t$$#B ~T |$ pbB #B t$L$$?T ; hB PC|$6B \$3T |6B Pʋ
pbB D$\$ $S |6B PЋPhB L$\$$S |; hB z$
! 127: Q $
! 128:
pbB L$Q $
! 129: PhB \$Q
A A F9$6B PhB w T$& |$\$ Q 5RB ~ $7B -Q $6B =pbB & D$w t$|$ EQ A & & 1x9xW
A &
! 130: &t( x9t & & ; hB p pGE `&US 5RB ~*$X$B ptxT$ D$\$MR tX$B xL$ppbB \$ t$D$$Q pX$B tL$xD$\$ t$
PhB 1ۉ $Q &
A 9& A 4& &h& & 9:& hB & 9 #& & &&
RB ~ X$6B \$=Q X6B pbB ىT$$\$P Xع6B PhB L$\$$P hB F9 C9E `U9Y&& RB ~ X $6B \$P X6B
pbB ډD$ $\$OP XSA
A 4;9o RB ~ $
! 131: 'N $
! 132:
pbB L$&N $
! 133: PhB T$M pp; hB 3
A A t4
! 134: ;tv RB ~'$a$B tUȉT$xD$ L$O xMȋtL$D$ pbB T$a$B T$$/O xEȋtD$T$ PhB L$a$B L$$N (
RB ~B$p$B ED$EȉL$tT$xL$ D$T$N UT$UȉL$xD$ tL$
pbB D$p$B T$ $D$_N ML$MȉD$xT$ tD$ PhB T$p$B L$T$$N >
RB ~*$$B ptxt$ D$\$M p$B tT$xpbB \$L$t$ $M \$x$B t$ T$L$x9x} pbB $M =PhB <$L RB BHB :G:# T$8$# K 4$ RB & L$\$K 4$J 4$aB T$J 덉A9&& 9& = dB @hB aB
0aB =\B gB ɉ4 H ~ 4 & CB
gB % ٞv;PB ~;A B;gB -غ& 4& 9t @~B~ CB \[(CB mort$A fB SI t$pbB & D$$A T$ pI =YB pow-
YB YB \$$YB J $YB A T$CK dB u:$A YB YB T$J t$
pbB A D$ $J dB D$ & L$|$$#A H $
! 135: dB \$H A @?A L$4T$ \t$@?A \$ D$|$ ${ dB $mI 0CB t$XL$P\ $& \$D$ |$K& X4X B~~$7B & I & X C$e6B \$I ~$7B F{I ~Nj\<$HA \D$ C\$Cɻ& \$t$\$$7B (I X v7 p7 ɋ\ݝ+7 %7 \݅\$ \$C$7B \$H s$ OH W= 0[B $ 6H >= QB $ H %= \B A j@ 0[B |!6 \)P$I $vH \J5 @= 5 A ٞT$1x $MF 5`bB `bB pT$RB `|$h7B D$$\$ L$t$EF `bB o& A 9}`bB CB ݅xr݅`ݝp݅hݝx$8B =PhB & L$Z `8B \$`8B |$ D ݅xt$`bB PhB \$ ݅pD$($\$݅h\$݅`\$gF ݅x\$=`bB
aB \$ ݅p|$( $\$݅h\$݅`\$#F RB rNr @#uxT$ & $# D \$=RB 8 $|$D 8$C 5aB 8$t$C 녡 A $F RB aT$H@ $QD t$5RB \T$ P(D$ 08B T$8|$\$8B L$ 4$D$;D ݅P\$
aB \\$0݅H $|$8\$(݅@\$ ݅8\$݅0\$݅(\$D ݅P8B \D$5PhB \$0݅HT$84$\$(݅@\$ ݅8\$݅0\$݅(\$fD ݅P$8B \\$,݅H|$4\$$݅@\$ ݅8\$݅0\$ ݅(\$4D ݅P8B \L$pbB \$0݅H\$8$\$(݅@\$ ݅8\$݅0\$݅(\$C RB JIJ& C#ubT$8$# _B 4$RB & D$T$dB 4$lA 4$=aB |$JA 둉$C RB -T$,9B $B ݅0 PB t$=RB CB ʉD$,9B <CB ɉ<$܅8ݝ@݅(܅@ݝ@݅Hܭ@܅Pݝ8A PB ,9B aB L$\$$B t$ PB =PhB D$<$dB RB JIJ C#umT$ & 8$# A t$RB 8<$D$ A $@
aB 8$L$? 놉$RB RB ;T$ $@ \$ $D$RB T$$L$ <9B L$t$|$T$ \$$@ ݅9B $T$ aB \$4݅t$<|$ $\$,݅\$$݅ \$ ݅\$݅\$ @ ݅$9B $\$0݅L$8D$\$(݅\$ ݅ \$݅\$݅\$@ ݅9B $T$ pbB \$4݅t$<9B |$\$,݅ $1\$$݅ \$ ݅\$݅\$ 2@ ݅t$$8=PhB \$4݅L$<D$<$\$,݅\$$݅ \$ ݅\$݅\$ ? 8$= 9 8\t C /C݅x^B t$ \\$1$fB \$݅hL$$\$݅`\$i݅PVB t$8=gB T$4
TB `bB \$h gB A ݅H|$(5dB L$$=A D$<
PB 8\$`݅@\$ YB D$ SB \$X݅8L$ T$t$\$P݅0|$\$H݅(\$@UB \$,\$D$$fB QS5 dB 4$S> =PaB W$B> <$:> @bB K $)> $!> 5aB F$> 4$fB > =pVB <$A = gB $= aB $d=
PhB $V= ReB pl fPeB t$$PeB = |$$PeB $> aB + $ :B PeB PeB L$= \$5pbB :B D$ A XB 4$SA s= |$ VB `A T$aB ^B L$$\$ & t$ D$4= \$=aB L$& $<:B |$ \; t$aB & T$$[:B D$ :; ; A 7\$ =aB a:B \$CT$<$< ։$(= RB d$
! 136:
aB & L$: \$A $& D$ D${݅`d5,PB $PB ݅hɅݝhݝp& & = aB 10 cB & aB 4& $!B aB D$& t$G& T$ : $!B ; \$
pbB & T$$!B L$ 9 0]B RB YB L$ B L$ aB D$ $T; 0]B RB YB D$ $ B L$=; 0]B RB YB L$ B L$ pbB FD$ $: ;5$PB 8$!B 5aB T$& D$t$ & 8 $h:B 8 \$
pbB t$$!B L$ 8 ݅h݅pݝx3& ݅xٺ|=t$
0bB YB T$ 5A dL$\\$\$ t$& $|$$D$ڔ݅x B aB L$\$ $=0]B RB YB D$ a"B \$aB FL$$9 ;5$PB ~& (do:B 5aB CL$4$\$c9 ; A ~$
! 137: aB \$e7 ݅x@CB ݕx݅p aB cB 94@9ȣ aB aB A $;8 $0_B fB pij L$0_B |8 |$$0_B 9 `B & $x:B 0_B x:B \$8 |$5pbB 0_B L$4$SA e8 CB ٽ= A Wf $f%@CB ٭٭$$٭٭ $ VB $\$ `B t$1 $٭٭șXB A ^B T$L$ |$& `A D$7 $:B `B & L$H D$T$ 5 = aB l"% cB & h aB 4 l&
`B T$ & |$L$ $:B C5 ;5$PB R RB l0]B = YB <A |$ `B D$FT$ $6 ;5$PB ~$!B
`B \$& t$L$ 4 ݅xݝ݅݅p ݅1-PCB A
CB 8CB $p5 ٽ5A \$$& f f=A ٭٭&|$ |$ș & T$D$nv @XB aB ݅l YB 5 A 0bB =A D$$\L$( \$ t$ |$! L$T$\$D$ $&|$5`B & T$$:B t$ & Y3
A 9KA & &1\$ `B B L$Ct$$4
A A <9}F9~$
! 138: 5`B 1t$2 ; 1ۉۅ;B & 5 CB T$l`B L$$ A ܅\$݅\$ ;4
A 9VA & &< `B o:B CL$$\$3
A A 9}F9~$
! 139: `B G\$1 &;$VJ $e3 F$Z3 4$R3 $
! 140: =`B |$1 ݅%@CB h aB cB h9 @9ȣ aB ݅x VB T$0= YB t$4l$^B
A QB \$ P\݅p|$,XT$$\$L$\$(D$ t$& |$
! 141: " `B $1 |$ & T$ & L$D$ t$$& (s cB 4& & D B~C~G ~̃& ݅$fB =$PB \݅@ɋA \$X
PB |$d$݅x\$,݅ɉ\$`\$H݅pT$TL$PD$<\$@݅8\$ \$4݅\$$݅\$݅\$ ݅ \$Hp$0WB t fB f
0WB A D$1 t$$0WB 1 RB $$;B 0WB e \$;1 pbB 0WB $;B T$fB A L$$0 f5PB |$$PB 0 \$$PB +1 PbB G $p;B PB PB t$0 |$pbB p;B \$A $0 ZB stdefB
ZB D$$ZB 0 t$$ZB 0 WB $;B ZB ;B L$F0 t$=pbB ZB D$cve <$0 TB fB T$$TB / $TB A L$60 RB . $;B TB v \$/ pbB TB ;B T$fB A L$$/ f5bB |$$bB // \$$bB / XB $4<B bB \$]/ pbB bB 4<B T$L$$ / ݅85A =PB ݅@ɋ 0XB \$@0cB t$L
cB |$H YB \$85QB \$4=gB T$0 A L$,0aB D$(
TB t$$ cB ݅݅ɉ|$ \$ T$L$\$ \$$8\r 1& 5 aB d
cB & ` aB f d =RB T$& & L$|$ $:B E, ;5$PB L=RB 0]B d YB A \$ D$ RB FL$ $- $!B RB \$& D$& T$ + |$
PbB t$& L$ $:B + \$ WB & D$$:B T$ o+ t$
RB & |$L$ $:B L+ ;5$PB d0]B RB YB L$ A L$ PbB D$ $, 0]B RB YB L$ A L$ WB D$ $f, RB 0]B = YB A <|$ L$=RB FD$<$", !$!B PbB & L$ D$& T$ ;* |$ WB t$& \$ $!B * $!B RB & L$ D$T$ ) t$ XB & |$\$ $:B ) ;5$PB J=RB 0]B d YB A D$ = XB \$FL$<$(+ $!B XB & T$ & \$D$ J) ٽ
A ݅xL$ f f٭\$٭݅p٭\$٭t$L$$& Xkٽ=@XB L `bB VB ݅xD$,5 A |$ =YB =A \$(aB t$df |$ \Lf٭\$٭݅p\$$T$ ٭\$٭t$|$0bB $fB ٽP VB D$4X`bB L$,\$$ 0bB f T$0YB D$( A \$ A f݅x٭\$٭݅pT$ ٭\$٭D$\$ t$|$1$fB ٽ
A & ݅xT$L$ L$f f٭\$٭݅p٭\$٭$& iٽ
@XB |$P\Hd VB L$,݅x`
YB \$T `bB D$X aB |$@f aB f٭٭\$Ddt$LىD$H|=t$8D$<\$4T$0W$0bB \$$ A A ݅pP\٭٭XVH$T$D$\$L$ |$t$$^B \$ = PB & VB XB A L$
RB `A \$^B SA T$ y $D$|$t$D' \$RB & T$& $h<B D$ m% ; A \$5RB <B |$C4$& $
! 142: RB D$% A $& ݅p݅xݕX ݅Xٸ|=L$ d 0bB D$ YB \t$$d5A \$T$\$ |$t$ $$= PB & ݅X<B 5RB \$4$& \$& A 9T & 9& ٽ݅Xf f٭(٭ɋdL( A9~ˋFD\9j& 9 ٺ& 9Jٽ݅XHf f٭٭ B9~G9~1 + \$<B D RB T$ $& \$$ ; A ٽ݅Xf f٭٭2\$<B RB CT$$\$E$ ; A @H<zt $W# ɋFD\9$
! 143: 5RB t$" ݅X@CB ݝX݅X݅x ݅pٽLf f٭٭~OD$@# LV$/# 4$'# ٽ݅pf fH٭٭OYD$" W$" <$" $" ` aB
cB `9 @9У aB q= hB <$v" fB S$e" $]" 5TB N $L" 4$D" =0XB G$3" <$+" 0cB S$" $" 5 bB 4$" ,<$!
PbB $x! WB $fB e! RB $X! XB $J! 5RB 4$<! =RB <$.! \$vpl
PQB $PQB s! $PQB A D$! YB $=B PQB & \$! & 1
aB 9
cB & T aB 4d $:B YB L$& GT$& \$ ] B0]B RB YB A D$ T$YB FL$$ ;5$PB ~$!B 5YB L$& D$t$ VB ٽ A ݅x\$f f٭\$ ٭݅p٭\$٭$& z_ٽt$D|=@XB t$<݅xáaB L$8f df5A ٭٭T$,YB L$4
A D$0|$@R$0bB \$$݅p٭٭P$L$\$ t$P\$\$fB XT$D$ L$
! 144: ٽ݅pf f٭٭SL $ $ T aB
cB T94@9У aB s YB $ \t'NA$m V$b 4$Z = cB Wr4$F _ $; <$3 dW$" <$ 5eB N $ 4$& @XB C$ $ =cB W$ <$ 5aB N $ 4$ \B $ $ Xz<$ X4$| T_K $h G$] <$U 50aB V$D 4$< `_K $( G$ <$ cB $ 5QB 4$ VB $ =RB <$
RB $ WB $ 5 YB $ 4$ =0]B _ $ <$
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! 156: & @ $Revision: 1.119 $ $Date: 2006/03/15 17:42:26 $ Imach version 0.98e, March 2006, INED-EUROREVES-Institut de longevite @ ,A DIRC2 = %s
1.9 brouard 157: DIRC3 = %s
158: DIRC = %s
159: ERREUR ...
1.1 lievre 160: %s
1.9 brouard 161: allocation failure in vector allocation failure in ivector allocation failure 1 in matrix() allocation failure 2 in matrix() allocation failure 3 in matrix() Too many iterations in brent ?|=ŋ!r? ?w?#B ; B#B ;#B -C 6*?%d day(s) %d hour(s) %d minute(s) %d second(s)
162: Powell iter=%d -2*LL=%.12f %ld sec. %ld sec. %d %.12lf %d %.12f %.12lf %d
1.7 brouard 163: Considering the time needed for this last iteration #%d: %ld seconds,
1.8 lievre 164: - if your program needs %d iterations to converge, convergence will be
165: reached in %s i.e.
1.7 brouard 166: on %s (current time is %s);
1.10 ! brouard 167: powell exceeding maximum iterations. HB @A @A @A :0yE> ?%9d %6d %2d %2d %1d %1d %3d %11.6f %8.4f %11.6f %11.6f %11.6f %10.6f %10.6f
1.9 brouard 168: @A :0yE> ?
169: <br>File of contributions to the likelihood: <a href="%s">%s</a><br>
170: w #individual(line's_record) s1 s2 wave# effective_wave# number_of_matrices_product pij weight -2ln(pij)*weight 0pij_x 0pij_(x-stepm) cumulating_loglikeli_by_health_state(reweighted=-2ll*weightXnumber_of_contribs/sum_of_weights) and_total
1.8 lievre 171: #num_i i s1 s2 mi mw dh likeli weight 2wlli out sav -2*gipw/gsw*weight*ll[%d]++ -2*gipw/gsw*weight*ll(total)
1.9 brouard 172: Problem with resultfile: %s
173: Powell Powell
174: # Powell
1.8 lievre 175: # iter -2*LL p%1d%1d
1.1 lievre 176: #Number of iterations = %d, -2 Log likelihood = %.12f
1.9 brouard 177: #Number of iterations = %d, -2 Log likelihood = %.12f
1.8 lievre 178:
1.6 brouard 179: #Number of iterations = %d, -2 Log likelihood = %.12f
1.9 brouard 180: -C 6? ? h㈵>h㈵> > ?Singular matrix in routine ludcmp #B ;
181: Calculation of the hessian matrix. Wait...
1.1 lievre 182: Calculation of the hessian matrix. Wait...
1.9 brouard 183:
184: Inverting the hessian to get the covariance matrix. Wait...
1.1 lievre 185: Inverting the hessian to get the covariance matrix. Wait...
186:
1.9 brouard 187: #Hessian matrix#
1.1 lievre 188: #Hessian matrix#
1.10 ! brouard 189: %.3e .%d%d # %s.%s
! 190: #%s
! 191: #%s
! 192: # %s
1.2 lievre 193: #********** Variable V%d=%d **********
1.9 brouard 194: # Age Prev(%d) N(%d) N Age %d %d.=%.0f loss[%d]=NaNQ%% %d.=%.0f loss[%d]=%.1f%% %d.=%.0f prev[%d]=%.1f%% %d %.5f %.0f %.0f %d%d=%.0f Problem with prevalence resultfile: %s
1.10 ! brouard 195: %d.=%.0f prev[%d]=NaNQ%% %d NaNq %.0f %.0f Others in log... Total See log file for details... |= B h㈵>Error on individual =%d agev[m][i]=%f m=%d
1.9 brouard 196: @AWarning! No valid information for individual %ld line=%d (skipped) and may be others, see log file
197: Warning! No valid information for individual %ld line=%d (skipped)
198: Delay (in months) between two waves Min=%d (for indiviudal %ld) Max=%d (%ld) Mean=%f
1.7 brouard 199:
1.9 brouard 200: Error! Negative delay (%d) between waves %d and %d of individual %ld at line %d who is aged %.1f with statuses from %d to %d
201: Error! Negative delay (%d to death) between waves %d and %d of individual %ld at line %d who is aged %.1f with statuses from %d to %d
202: We assumed that the date of interview was correct (and not the date of death) and postponed the death %d month(s) (one stepm) after the interview. You MUST fix the contradiction between dates.
1.10 ! brouard 203: C ? (@# (a) Life expectancies by health status at initial age and (b) health expectancies by health status at initial age
! 204: # Age e%1d%1d e%1d. %d| %3.0f %9.4f Problem %d lower than %d
! 205: C @A ? ?# Health expectancies with standard errors
! 206: e%1d%1d (SE) # Subdiagonal matrix of covariances of health expectancies by age: cov(eij,ekl)
! 207: %1d%1d,%1d%1d %9.4f (%.4f) %.4f C @A ? ?%-d Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s'
1.9 brouard 208: # Age cov=%-d # probabilities of dying before estepm=%d months for people of exact age and weighted probabilities w1*p1j+w2*p2j+... stand dev in()
209: p.%-d SE w%1d p%-d%-d
1.10 ! brouard 210: # Routine varevsij
! 211: <li><h4> Computing probabilities of dying over estepm months as a weighted average (i.e global mortality independent of initial healh state)</h4></li>
! 212:
1.9 brouard 213: <br>%s <br>
1.10 ! brouard 214: # Variance and covariance of health expectancies e.j
! 215: # (weighted average of eij where weights are the age specific period (stable) prevalences in each health state
! 216: Cov(e.%1d, e.%1d) %3d %d %11.3e %11.3e %11.3e %11.3e %.0f
1.8 lievre 217: set noparametric;set nolabel; set ter png small;set size 0.65, 0.65
218: set log y; set nolog x;set xlabel "Age"; set ylabel "Force of mortality (year-1)";
219: plot "%s" u 1:($3) not w l 1
220: replot "%s" u 1:(($3+1.96*$4)) t "95%% interval" w l 2
221: replot "%s" u 1:(($3-1.96*$4)) not w l 2
1.6 brouard 222: <br> File (multiple files are possible if covariates are present): <A href="%s">%s</a>
1.8 lievre 223: varmuptjgr
1.7 brouard 224: <br> Probability is computed over estepm=%d months. <br> <img src="%s%s.png"> <br>
225:
226: set out "%s%s.png";replot;
1.10 ! brouard 227: the age specific prevalence observed in the population i.e cross-sectionally
! 228: in each health state (popbased=1) Error in movingaverage mobilav=%d
! 229: @A ? ? @`@# Standard deviation of period (stable) prevalences
! 230: %1d-%1d %.5f (%.5f) ?Computing standard deviation of one-step probabilities: result on file '%s'
1.8 lievre 231: Computing matrix of variance covariance of one-step probabilities: result on file '%s'
232: and correlation matrix of one-step probabilities: result on file '%s'
233: #One-step probabilities and stand. devi in ()
234: #One-step probabilities and covariance matrix
235: #One-step probabilities and correlation matrix
1.9 brouard 236: p%1d-%1d (SE) p%1d-%1d
237: <li><h4> <a href="%s">Matrix of variance-covariance of pairs of step probabilities (drawings)</a></h4></li>
238:
1.8 lievre 239: # Routine varprob
1.6 brouard 240: <li><h4> Computing and drawing one step probabilities with their confidence intervals</h4></li>
1.8 lievre 241:
1.7 brouard 242: <h4>Matrix of variance-covariance of pairs of step probabilities</h4>
243: file %s<br>
1.8 lievre 244:
1.7 brouard 245: Ellipsoids of confidence centered on point (p<inf>ij</inf>, p<inf>kl</inf>) are estimatedand drawn. It helps understanding how is the covariance between two incidences. They are expressed in year<sup>-1</sup> in order to be less dependent of stepm.<br>
1.8 lievre 246:
1.7 brouard 247: <br> Contour plot corresponding to x'cov<sup>-1</sup>x = 4 (where x is the column vector (pij,pkl)) are drawn. It can be understood this way: if pij and pkl where uncorrelated the (2x2) matrix of covariance would have been (1/(var pij), 0 , 0, 1/(var pkl)), and the confidence interval would be 2 standard deviations wide on each axis. <br> Now, if both incidences are correlated (usual case) we diagonalised the inverse of the covariance matrix and made the appropriate rotation to look at the uncorrelated principal directions.<br>To be simple, these graphs help to understand the significativity of each parameter in relation to a second other one.<br>
1.6 brouard 248: **********
249: #
1.8 lievre 250: V%d=%d
251: <hr size="2" color="#EC5E5E">********** Variable **********
1.6 brouard 252: <hr size="2" color="#EC5E5E">
1.9 brouard 253: %d %11.3e (%11.3e) %d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tan %.3f
254: %d (%.3f),
255: # Age %d, p%1d%1d - p%1d%1d
256: set label "%d" at %11.3e,%11.3e center
257: replot %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not varpijgr
258: set out "%s%d%1d%1d-%1d%1d.png";replot;
1.8 lievre 259: set parametric;unset label
260: set log y;set log x; set xlabel "p%1d%1d (year-1)";set ylabel "p%1d%1d (year-1)"
1.6 brouard 261: set ter png small
1.9 brouard 262: set size 0.65,0.65
1.8 lievre 263: <br>Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year<sup>-1</sup> :<a href="%s%d%1d%1d-%1d%1d.png">%s%d%1d%1d-%1d%1d.png</A>,
264: <br><img src="%s%d%1d%1d-%1d%1d.png">
265: <br> Correlation at age %d (%.3f),
266: set out "%s%d%1d%1d-%1d%1d.png"
1.9 brouard 267: plot [-pi:pi] %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not %d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tang %.3f
268: Others in log...
269: %11.3e
270: %d %d-%d %11.3e ? (@ @ ?<ul><li><a href='#firstorder'>Result files (first order: no variance)</a>
271: <li><a href='#secondorder'>Result files (second order (variance)</a>
272: </ul> p <ul><li><h4><a name='firstorder'>Result files (first order: no variance)</a></h4>
1.7 brouard 273: - Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href="%s">%s</a> <br>
1.9 brouard 274: pij - Estimated transition probabilities over %d (stepm) months: <a href="%s">%s</a><br>
1.10 ! brouard 275: pl - Period (stable) prevalence in each health state: <a href="%s">%s</a> <br>
! 276: e - (a) Life expectancies by health status at initial age, (b) health expectancies by health status at initial age: ei., eij (estepm=%2d months): <a href="%s">%s</a> <br>
! 277: </li>
1.8 lievre 278: <ul><li><b>Graphs</b></li><p> <hr size="2" color="#EC5E5E">************ Results for covariates ************
1.10 ! brouard 279: <hr size="2" color="#EC5E5E"> pe <br>- Pij or Conditional probabilities to be observed in state j being in state i, %d (stepm) months before: <a href="%s%d1.png">%s%d1.png</a><br> <img src="%s%d1.png"> <br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: <a href="%s%d2.png">%s%d2.png</a><br> <img src="%s%d2.png"> <br>- Period (stable) prevalence in each health state : <a href="%s%d%d.png">%s%d%d.png</a><br> <img src="%s%d%d.png"> exp
! 280: <br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies : <a href="%s%d%d.png">%s%d%d.png</a> <br> <img src="%s%d%d.png"> </ul>
1.9 brouard 281: <br><li><h4> <a name='secondorder'>Result files (second order: variances)</a></h4>
1.6 brouard 282: - Parameter file with estimated parameters and covariance matrix: <a href="%s">%s</a> <br>
1.9 brouard 283: prob - Variance of one-step probabilities: <a href="%s">%s</a> <br>
284: probcov - Variance-covariance of one-step probabilities: <a href="%s">%s</a> <br>
285: probcor - Correlation matrix of one-step probabilities: <a href="%s">%s</a> <br>
1.10 ! brouard 286: cve - Variances and covariances of health expectancies by age and <b>initial health status</b> (cov(e<sup>ij</sup>,e<sup>kl</sup>)(estepm=%2d months): <a href="%s">%s</a> <br>
! 287: </li> stde - (a) Health expectancies by health status at initial age (e<sup>ij</sup>) and standard errors (in parentheses) (b) life expectancies and standard errors (e<sup>i.</sup>=e<sup>i1</sup>+e<sup>i2</sup>+...)(estepm=%2d months): <a href="%s">%s</a> <br>
! 288: </li> v - Variances and covariances of health expectancies by age. Status (i) based health expectancies (in state j), eij are weighted by the period prevalences in each state i (if popbased=1, an additional computation is done using the cross-sectional prevalences (i.e population based) (estepm=%d months): <a href="%s">%s</a><br>
! 289: t - Total life expectancy and total health expectancies to be spent in each health state e<sup>.j</sup> with their standard errors: <a href="%s">%s</a> <br>
! 290: vpl - Standard deviation of period (stable) prevalences: <a href="%s">%s</a> <br>
! 291: <ul><li><b>Graphs</b></li><p> <br>- Observed (cross-sectional) and period (incidence based) prevalence (with 95%% confidence interval) in state (%d): %s%d%d.png <br><img src="%s%d%d.png">
1.8 lievre 292: <br>- Total life expectancy by age and health expectancies in states (1) and (2): %s%d.png<br><img src="%s%d.png"> cd "%s"
1.10 ! brouard 293: p%d=%f " t"Period (stable) prevalence" w l 0,"%s" every :::%d::%d u 1:($2+1.96*$3) "%%lf %%lf (%%lf) %%*lf (%%*lf) " t"95%% CI" w l 1,"%s" every :::%d::%d u 1:($2-1.96*$3) "%%lf " t"" w l 1,"%s" every :::%d::%d u 1:($%d) t"Observed prevalence " w l 2
1.7 brouard 294: set out "%s%d%d.png"
1.6 brouard 295:
1.7 brouard 296: #set out "v%s%d%d.png"
1.9 brouard 297: set xlabel "Age"
1.1 lievre 298: set ylabel "Probability"
1.6 brouard 299: set ter png small
300: set size 0.65,0.65
1.9 brouard 301: plot [%.f:%.f] "%s" every :::%d::%d u 1:2 "%%lf
1.7 brouard 302: set out "%s%d.png"
1.8 lievre 303: set ylabel "Years"
1.6 brouard 304: set ter png small
305: set size 0.65,0.65
1.9 brouard 306: plot [%.f:%.f] "%s" every :::%d::%d u 1:2 "%%lf " t"LE in state (%d)" w l , "%s" every :::%d::%d u 1:($2-$3*2) "%%lf " t"" w l 0, "%s" every :::%d::%d u 1:($2+$3*2) "%%lf set ter png small
1.6 brouard 307: set size 0.65,0.65
1.10 ! brouard 308: plot [%.f:%.f] "%s" every :::%d::%d u 1:%d t "e%d1" w l ,"%s" every :::%d::%d u 1:%d t "e%d%d" w l ,"%s" every :::%d::%d u 1:%d t "e%d." w l set xlabel "Age"
1.1 lievre 309: set ylabel "Probability"
1.6 brouard 310: set ter png small
311: set size 0.65,0.65
1.7 brouard 312: unset log y
1.8 lievre 313: plot [%.f:%.f] "%s" u ($1==%d ? ($3):1/0):($%d/($%d +$%d )) t"prev(%d,%d)" w l ,"%s" u ($1==%d ? ($3):1/0):($%d/($%d )) t"prev(%d,%d)" w l
1.6 brouard 314:
315: set title "Probability"
1.9 brouard 316:
1.6 brouard 317: set ter png small
318: set size 0.65,0.65
1.1 lievre 319: set log y
1.9 brouard 320: plot [%.f:%.f] exp(p%d+p%d*x +p%d*%d +p%d*%d*x )/(1 +exp(p%d+p%d*x ) t "p%d%d" %f*exp(p%d+p%d*x
321: set ylabel "Quasi-incidence per year"
322: " t"" w l 0 " t"TLE" w l , @AProblem with forecast resultfile: %s
1.8 lievre 323: Computing forecasting: result on file '%s'
324: # Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f
325: #****** Routine prevforecast **
326:
327: #****** V%d=%d, hpijx=probability over h years, hp.jx is weighted by observed prev ******
328: # Covariate valuofcovar yearproj age p%d%d p.%d
1.9 brouard 329: # Forecasting at date %.lf/%.lf/%.lf %.3f %d %d %.f %.f @A A ? ? @`@ P.%d
1.1 lievre 330:
1.9 brouard 331: # Forecasting at date %.lf/%.lf/%.lf r %d %lf
332: %15.2f
333: %3.f [Population] Problem with population file : %s
334: @A C ? ? @`@ (@a Problem with file: %s
335: # Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ... # Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...
336: %1d%1d 0. # Scales (for hessian or gradient estimation) # Scales (for hessian or gradient estimation)
337: # Covariance matrix # Covariance matrix
338: %1d%1d%d Var(%s%1d%1d) Cov(%s%1d%1d,%s%1d%1d) #%1d%1d%d (@ <ul><li><h4>Result files </h4>
1.8 lievre 339: Force of mortality. Parameters of the Gompertz fit (with confidence interval in brackets):<br> mu(age) =%lf*exp(%lf*(age-%d)) per year<br><br> p[%d] = %lf [%f ; %f]<br>
1.9 brouard 340: <br><br><img src="graphmort.png"> <ul><li><h4>Life table</h4>
341: <br>
342: Age l<inf>x</inf> q<inf>x</inf> d(x,x+1) L<inf>x</inf> T<inf>x</inf> e<infx</inf><br> %d %.0lf %lf %.0lf %.0lf %.0lf %lf<br>
343: @set out "graphmort.png"
344: set xlabel "Age"
1.7 brouard 345: set ylabel "Force of mortality (per year)"
346: set ter png small
347: set log y
348: set size 0.65,0.65
1.9 brouard 349: plot [%d:100] %lf*exp(%lf*(x-%d)) b c d c
1.7 brouard 350: %s
1.9 brouard 351: %s
352: argv[0]=%s argv[1]=%s,
353:
354: argv[0]=%s pathimach=%s,
355: optionfile=%s
356: optionfilext=%s
357: optionfilefiname=%s
358:
359: pathtot=%s,
1.7 brouard 360: path=%s,
361: optionfile=%s
362: optionfilext=%s
363: optionfilefiname=%s
1.6 brouard 364: Log filename:%s
1.9 brouard 365:
1.7 brouard 366: Enter the parameter file name:
1.8 lievre 367: pathimach=%s
1.7 brouard 368: pathtot=%s
369: path=%s
370: optionfile=%s
371: optionfilext=%s
372: optionfilefiname=%s
1.9 brouard 373: Local time (at start):%s Local time (at start): %s title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d
1.6 brouard 374: ftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d model=%s
1.8 lievre 375: title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d
1.6 brouard 376: ftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d
1.5 lievre 377: model=%s
1.9 brouard 378: %lf
379: Problem with optionfile %s
380:
381: Type q for exiting: %s Problem with logfile %s
382: Problem creating directory or it already exists %s%s, err=%d
1.10 ! brouard 383: Current directory %s!
! 384:
! 385: Enter the parameter file name: Pathr |%s|
! 386: " val= |%s| pathr=%s
! 387: %le %le %.5le #%s
! 388: %d/%d %s. Problem with Output resultfile: %s
! 389: You choose mle=-3, look at file %s for a template of covariance matrix
! 390: Problem writing new parameter file: %s
! 391: Problem while opening datafile: %s
1.9 brouard 392: Comment line
393: %s
1.10 ! brouard 394: Error in line parameters number %d, %1d%1d instead of %1d%1d
1.9 brouard 395: Error reading data around '%d' at line number %d %s for individual %d, '%s'
396: Should be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.
397: Error reading data around '%d' at line number %ld %s for individual %d, '%s'
398: Should be a covar (meaning 0 for the reference or 1). Exiting.
399: Error reading data around '%d' at line number %ld %s for individual %d, '%s'
400: Should be a value of the %d covar (meaning 0 for the reference or 1. IMaCh does not build design variables, do it your self). Exiting.
1.10 ! brouard 401: age age*age Error. Non available option model=%s Error reading data around '%d' at line number %ld %s for individual %d
! 402: Should be a weight. Exiting.
1.9 brouard 403: Error reading data around '%s' at line number %ld %s for individual %d, '%s'
404: Should be a date of interview (mm/yyyy or .) at wave %d. Exiting.
1.10 ! brouard 405: You choose mle=-1, look at file %s for a template of covariance matrix
! 406: Error! Month of death of individual %ld on line %d was unknown %2d, you should set it otherwise the information on the death is skipped and results are biased.
1.8 lievre 407: Error! Month of death of individual %ld on line %d was unknown %f, you should set it otherwise the information on the death is skipped and results are biased.
1.10 ! brouard 408: Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d
1.9 brouard 409: Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased
1.10 ! brouard 410: Warning negative age at death: %ld line:%d
1.8 lievre 411: Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f
1.1 lievre 412:
1.9 brouard 413: Problem with file %s <body>
1.7 brouard 414: <title>IMaCh Cov %s</title>
415: <font size="2">%s <br> %s</font> <hr size="2" color="#EC5E5E">
416: Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s<br>
1.8 lievre 417: <body>
1.7 brouard 418: <title>IMaCh %s</title>
419: <font size="2">%s <br> %s</font> <hr size="2" color="#EC5E5E">
420: Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s<br>
421:
422: <hr size="2" color="#EC5E5E"> <ul><li><h4>Parameter files</h4>
1.10 ! brouard 423: - Parameter file: <a href="%s.%s">%s.%s</a><br>
1.7 brouard 424: - Copy of the parameter file: <a href="o%s">o%s</a><br>
425: - Log file of the run: <a href="%s">%s</a><br>
426: - Gnuplot file name: <a href="%s">%s</a><br>
427: - Date and time at start: %s</ul>
1.10 ! brouard 428: <br>Total number of observations=%d <br>
1.7 brouard 429: Youngest age at first (selected) pass %.2f, oldest age %.2f<br>
430: Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>
1.8 lievre 431: First Likeli=%12.6f ipmx=%ld sw=%12.6f %d %8.5f Second Likeli=%12.6f ipmx=%ld sw=%12.6f title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d
1.6 brouard 432: ftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle= 0 weight=%d
1.5 lievre 433: model=%s
1.9 brouard 434: %d%d %1d%1d %f
435: # %s
436: # %s
437: set missing 'NaNq'
438: %.5e # Covariance matrix
1.6 brouard 439: # 121 Var(a12)
440: # 122 Cov(b12,a12) Var(b12)
441: # ...
442: # 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)
1.9 brouard 443: # Covariance matrix
444: # 121 Var(a12)
445: # 122 Cov(b12,a12) Var(b12)
446: # ...
447: # 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)
448: Covariance matrix
449:
450: iter=%d MLE=%f Eq=%lf*exp(%lf*(age-%d))
451: %f [%f ; %f]
452: agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d
1.8 lievre 453: # agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).
454: agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d
455: begin-prev-date=%lf/%lf/%lf end-prev-date=%lf/%lf/%lf mov_average=%d
456: begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d
1.5 lievre 457: pop_based=%d
1.8 lievre 458: prevforecast=%d starting-proj-date=%lf/%lf/%lf final-proj-date=%lf/%lf/%lf mobil_average=%d
459: prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d
1.10 ! brouard 460: Computing period (stable) prevalence: result on file '%s'
! 461: # Period (stable) prevalence
! 462: #Age %d-%d ****** %.5f Computing pij: result on file '%s'
1.8 lievre 463: #****** h Pij x Probability to be in state j at age x+h being in i at x
1.10 ! brouard 464: #****** # Cov Agex agex+h hpijx with i,j= %d %3.f %3.f Computing Total Life expectancies with their standard errors: file '%s'
! 465: Computing Health Expectancies: result on file '%s'
! 466: Computing Health Expectancies and standard errors: result on file '%s'
! 467: Computing Covar. of Health Expectancies: result on file '%s'
! 468: Computing Variance-covariance of DFLEs: file '%s'
! 469: # Total life expectancy with std error and decomposition into time to be expected in each health state
! 470: # Age ( e.. (std) e.%d (std) %4.0f %7.3f (%7.3f) Computing Variance-covariance of period (stable) prevalence: file '%s'
! 471: End of Imach with %d errors and/or %d warnings
1.8 lievre 472: End of Imach with %d errors and/or warnings %d
1.6 brouard 473: See log file on %s
1.9 brouard 474: Local time at start %s
1.7 brouard 475: Local time at end %s
1.9 brouard 476: Local time at start %s
477: Local time at end %s Total time used %s
1.7 brouard 478: Total time was %d Sec.
1.10 ! brouard 479: <br>Local time at start %s<br>Local time at end %s<br> Before Current directory %s!
! 480: Can't move to directory %s!
! 481: "%sgnuplot.exe" Error gnuplot program not found: %s
1.9 brouard 482: GNUPLOTBIN Error gnuplot program not found: %s Environment GNUPLOTBIN not set.
483: %s %s Starting graphs with: %s
484:
485: Problem with gnuplot Wait...
1.10 ! brouard 486: Type e to edit output files, g to graph again and q for exiting: Starting browser with: %s Problem with variance resultfile: %s
! 487: Problem with Covar. Health Exp. resultfile: %s
! 488: Problem with Health Exp. and std errors resultfile: %s
! 489: Problem with Health Exp. resultfile: %s
1.9 brouard 490: End of Imach End of Imach
1.10 ! brouard 491: Problem with variance of period (stable) prevalence resultfile: %s
! 492: Problem with total LE resultfile: %s
1.9 brouard 493: Problem with Pij resultfile: %s
1.10 ! brouard 494: Problem with period (stable) prevalence resultfile: %s
! 495:
1.9 brouard 496: Age lx qx dx Lx Tx e(x) %d %.0lf %lf %.0lf %.0lf %.0lf %lf
1.10 ! brouard 497: Error reading data around '%s' at line number %ld %s for individual %d, '%s'
! 498: Should be a date of birth (mm/yyyy or .). Exiting.
1.9 brouard 499: Problem with %s
1.10 ! brouard 500: Error reading data around '%s' at line number %ld %s for individual %d, '%s'
! 501: Should be a date of death (mm/yyyy or .). Exiting.
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