Problem with opening a .gph file

[Lydia Palumbo]

Hello,

I get the error message below when I open a .gph file in Stata18 on my laptop (here, the message is just partially reported).

However, when I create the file and open it on the computer server at work, where the data is stored, there is no problem. The creation and opening go smoothly.

Could you please help me to sort out this issue?

Thank you.

Regards, Lydia

. graph use "/Users/lydiapalumbo/Nextcloud2/submissionpaper2/H1/employ2.gph"
plotregion1.xaxis_dexes invalid name
error (198) reading file
Error in file, skipping lines:
.plotregion1.yaxis_dexes = `"1"'
.plotregion1.style.editstyle boxstyle( linestyle( color(black))) editcopy
.plotregion1.Declare plot1 = .y2xview_g.new , type(rcap) serset() yvariable()    xvariable()    plotregio
> n() style(scheme p1) ybvar() 

(it continues ...)

[Nick Cox]

Can you copy and paste the result of

type /Users/lydiapalumbo/Nextcloud2/submissionpaper2/H1/employ2.gph

???

[Lydia Palumbo]

Dear Nick,

the error message is the following:

StataFileTM:00001:01000:LiveGPH:                       :
00008:00008:
*! classname: twowaygraph_g
*! family: twoway
*! command: twoway rcap _ci_lb _ci_ub __000001 if __000003 == 1, ps
> tyle(p1)     recast(rcap) lwidth(medthick) lcolor(midblue)   rc
> ap _ci_lb _ci_ub __000001 if __000003 == 2, pstyle(p2)     recast
> (rcap) lwidth(medthick) lcolor(maroon)   rcap _ci_lb _ci_ub __0
> 00001 if __000003 == 3, pstyle(p3)     recast(rcap) lwidth(medthi
> ck) lcolor(green)   rcap _ci_lb _ci_ub __000001 if __000003 == 
> 4, pstyle(p4)     recast(rcap) lwidth(medthick) lcolor(orange)  
>   scatter _margin __000001 if __000003 == 1, pstyle(p1)    msize
> (large)  mlabcolor(midblue) mlcolor(midblue) mfcolor(none) mlabsi
> ze(medium)  scatter _margin __000001 if __000003 == 2, pstyle(p
> 2)    msize(large)  mlabcolor(maroon) mlcolor(maroon) msymbol(D) 
> mfcolor(none) mlabsize(medium)  scatter _margin __000001 if __0
> 00003 == 3, pstyle(p3)    msize(large)  mlabcolor(green)  mfcolor
> (none) mlcolor(green) msymbol(T) mlabsize(medium)  scatter _mar
> gin __000001 if __000003 == 4, pstyle(p4)    msize(large)  mlcolo
> r(orange) mlabcolor(orange) mfcolor(none) mlabsize(medium)  if 
> __000007 == 1 , title(`"Adjusted Predictions of employ2 with 95% 
> CIs"', span size(*.9))  xlabel(1 2 ) xlabel(, valuelabels) legend
> (order( 5 `"E/E"' 6 `"M/E,F/NE"' 7 `"M/NE,F/E"' 8 `"M/NE,F/NE"') 
> ) name() saving()  legend( on pos(6) ring(5) size(medlarge) symxs
> ize(*0.5) col(2) ) plotregion(lcol(black)) xlab(0.7 " " 1 "Dissol
> ution" 2 "Marriage" 2.3 " ", noticks labsize(large)) ylab(0(0.1)0
> .3,format(%03.1f) labsize(medlarge)) ytitle(" ") xtitle("") schem
> e(s1mono) title("{it:Employment (a1)}" , pos(12) size(vlarge)) le
> gend(order(5 "Dual employed" 6 "Female employed" 7 "Male mployed"
>  8 "Non employed") size(medlarge) )
*! command_date: 14 Aug 2024
*! command_time: 15:09:47
*! datafile: C:\Users\palumbo\AppData\Local\Temp\70\ST_9af4_000001.
> tmp
*! datafile_date: 14 Aug 2024 15:09
*! scheme: s1mono
*! naturallywhite: 1
*! xsize: 5.5
*! ysize: 4
*! end
<BeginItem> serset K150afce8 
<BeginSerset>
<BeginSeries>
.name = `"_ci_lb"'
.label = `"predict()"'
.format = `"%9.0g"'
.type.set numeric
.min =  .0476165562868118
.max =  .1147082075476646
.median = (.)
.pct25 = (.)
.pct75 = (.)
.categories = (.)
<EndSeries>
<BeginSeries>
.name = `"_ci_ub"'
.label = `"predict()"'
.format = `"%9.0g"'
.type.set numeric
.min =  .0656120628118515
.max =  .1470131278038025
.median = (.)
.pct25 = (.)
.pct75 = (.)
.categories = (.)
<EndSeries>
<BeginSeries>
.name = `"__000001"'
.label = `"Outcome"'
.format = `"%15.0g"'
.type.set numeric
.min =  .8500000238418579
.max =  1.850000023841858
.median = (.)
.pct25 = (.)
.pct75 = (.)
.categories = (.)
.lab_offset = (.)
.vlabs.Declare __D_1 = `"predict(out(1))"'
.vlabs.Declare __D_2 = `"predict(out(2))"'
<EndSeries>
<BeginSeries>
.name = `"_margin"'
.label = `"predict()"'
.format = `"%4.1f"'
.type.set numeric
.min =  .0566143095493317
.max =  .1308606714010239
.median = (.)
.pct25 = (.)
.pct75 = (.)
.categories = (.)
<EndSeries>
.weight_id = (.)
<BeginSersetData>
sersetreadwrite...........����_ci_lb...............................
> .................................................................
> ................................................_ci_ub...........
> .................................................................
> .................................................................
> ...__000001......................................................
> .................................................................
> ......................._margin...................................
> .................................................................
> ...........................................%9.0g.................
> ...................................%9.0g.........................
> ...........................%15.0g................................
> ...................%4.1f.........................................
> ..............�2a�?...��˰?...@33�?....���?...`�]�?...�S��?...����
> ?...�
��?�    C=�_�=��Y?h�g=#��=��.>���?W..>
<EndSersetData>
<EndSerset>
<EndItem>
<BeginItem> serset K150b0788 
<BeginSerset>
<BeginSeries>
.name = `"_ci_lb"'
.label = `"predict()"'
.format = `"%9.0g"'
.type.set numeric
.min =  .0525829568505287
.max =  .0763144418597221
.median = (.)
.pct25 = (.)
.pct75 = (.)
.categories = (.)
<EndSeries>
<BeginSeries>
.name = `"_ci_ub"'
.label = `"predict()"'
.format = `"%9.0g"'
.type.set numeric
.min =  .1064102873206139
.max =  .1503493636846542
.median = (.)
.pct25 = (.)
.pct75 = (.)
.categories = (.)
<EndSeries>
<BeginSeries>
.name = `"__000001"'
.label = `"Outcome"'
.format = `"%15.0g"'
.type.set numeric
.min =  .949999988079071
.max =  1.950000047683716
.median = (.)
.pct25 = (.)
.pct75 = (.)
.categories = (.)
.lab_offset = (.)
.vlabs.Declare __D_1 = `"predict(out(1))"'
.vlabs.Declare __D_2 = `"predict(out(2))"'
<EndSeries>
<BeginSeries>
.name = `"_margin"'
.label = `"predict()"'
.format = `"%4.1f"'
.type.set numeric
.min =  .0794966220855713
.max =  .1133319064974785
.median = (.)
.pct25 = (.)
.pct75 = (.)
.categories = (.)
<EndSeries>
.weight_id = (.)
<BeginSersetData>
sersetreadwrite...........����_ci_lb...............................
> .................................................................
> ................................................_ci_ub...........
> .................................................................
> .................................................................
> ...__000001......................................................
> .................................................................
> ......................._margin...................................
> .................................................................
> ...........................................%9.0g.................
> ...................................%9.0g.........................
> ...........................%15.0g................................
> ...................%4.1f.........................................
> ..............@'�?...`�=�?...`ff�?....�Y�?...�W��?...�>�?...@33�?
> ...�Q.�?:aW=���=33s? Ϣ=�J�=/�.>���?�.�=
<EndSersetData>
<EndSerset>
<EndItem>
<BeginItem> serset K150b07d8 
<BeginSerset>
<BeginSeries>
.name = `"_ci_lb"'
.label = `"predict()"'
.format = `"%9.0g"'
.type.set numeric
.min =  .0206252411007881
.max =  .1038312539458275
.median = (.)
.pct25 = (.)
.pct75 = (.)
.categories = (.)
<EndSeries>
<BeginSeries>
.name = `"_ci_ub"'
.label = `"predict()"'
.format = `"%9.0g"'
.type.set numeric
.min =  .1273432224988937
.max =  .2453606873750687
.median = (.)
.pct25 = (.)
.pct75 = (.)
.categories = (.)
<EndSeries>
<BeginSeries>
.name = `"__000001"'
.label = `"Outcome"'
.format = `"%15.0g"'
.type.set numeric
.min =  1.049999952316284
.max =  2.049999952316284
.median = (.)
.pct25 = (.)
.pct75 = (.)
.categories = (.)
.lab_offset = (.)
.vlabs.Declare __D_1 = `"predict(out(1))"'
.vlabs.Declare __D_2 = `"predict(out(2))"'
<EndSeries>
<BeginSeries>
.name = `"_margin"'
.label = `"predict()"'
.format = `"%4.1f"'
.type.set numeric
.min =  .0739842280745506
.max =  .1745959669351578
.median = (.)
.pct25 = (.)
.pct75 = (.)
.categories = (.)
<EndSeries>
.weight_id = (.)
<BeginSersetData>
sersetreadwrite...........����_ci_lb...............................
> .................................................................
> ................................................_ci_ub...........
> .................................................................
> .................................................................
> ...__000001......................................................
> .................................................................
> ......................._margin...................................
> .................................................................
> ...........................................%9.0g.................
> ...................................%9.0g.........................
> ...........................%15.0g................................
> ...................%4.1f.........................................
> ..............��.�?...`�L�?...����?...`��?...`���?...��g�?...`ff.
> @... )Y�?{��=�?{>ff�?I�2>D��<Cf.>33.@.��=
<EndSersetData>
<EndSerset>
<EndItem>
<BeginItem> serset K150b2e98 
<BeginSerset>
<BeginSeries>
.name = `"_ci_lb"'
.label = `"predict()"'
.format = `"%9.0g"'
.type.set numeric
.min =  .0139169134199619
.max =  .0422461330890656
.median = (.)
.pct25 = (.)
.pct75 = (.)
.categories = (.)
<EndSeries>
<BeginSeries>
.name = `"_ci_ub"'
.label = `"predict()"'
.format = `"%9.0g"'
.type.set numeric
.min =  .0913002640008926
.max =  .1257053911685944
.median = (.)
.pct25 = (.)
.pct75 = (.)
.categories = (.)
<EndSeries>
<BeginSeries>
.name = `"__000001"'
.label = `"Outcome"'
.format = `"%15.0g"'
.type.set numeric
.min =  1.149999976158142
.max =  2.150000095367432
.median = (.)
.pct25 = (.)
.pct75 = (.)
.categories = (.)
.lab_offset = (.)
.vlabs.Declare __D_1 = `"predict(out(1))"'
.vlabs.Declare __D_2 = `"predict(out(2))"'
<EndSeries>
<BeginSeries>
.name = `"_margin"'
.label = `"predict()"'
.format = `"%4.1f"'
.type.set numeric
.min =  .0526085905730724
.max =  .08397576212883
.median = (.)
.pct25 = (.)
.pct75 = (.)
.categories = (.)
<EndSeries>
.weight_id = (.)
<BeginSersetData>
sersetreadwrite...........����_ci_lb...............................
> .................................................................
> ................................................_ci_ub...........
> .................................................................
> .................................................................
> ...__000001......................................................
> .................................................................
> ......................._margin...................................
> .................................................................
> ...........................................%9.0g.................
> ...................................%9.0g.........................
> ...........................%15.0g................................
> ...................%4.1f.........................................
> ..............�x��?...@t_�?...`ff�?...`��?....I��?...@..�?...@33.
> @...�o�?H
-=�.>33�?��=�.d<���=��        @.W=
<EndSersetData>
<EndSerset>
<EndItem>
<BeginItem> scheme K14c307b8 
.setscheme , scheme(s1mono) naturallywhite(1)
<EndItem>
<BeginItem> twowaygraph_g K150b0a08 <UseScheme> K14c307b8
.sersets[1] = .__Map.K150afce8.ref
.sersets[2] = .__Map.K150b0788.ref
.sersets[3] = .__Map.K150b07d8.ref
.sersets[4] = .__Map.K150b2e98.ref
.insert (plotregion1 = .plotregion.new , style(scheme twoway) graph
> (`.objkey')) at 1 1
.plotregion1.xaxis_dexes = `"1"'
.plotregion1.yaxis_dexes = `"1"'
.plotregion1.style.editstyle boxstyle( linestyle( color(black))) ed
> itcopy
.plotregion1.Declare plot1 = .y2xview_g.new , type(rcap) serset(`.s
> ersets[1].objkey') yvariable(`.sersets[1].seriesof _ci_lb') xvari
> able(`.sersets[1].seriesof __000001')     plotregion(`.plotregion
> 1.objkey') style(scheme p1) ybvar(`.sersets[1].seriesof _ci_ub')
.plotregion1.plot1.style.editstyle style(p1) line(color(midblue)) a
> rea(linestyle(color(midblue))) line(width(medthick)) area(linesty
> le(width(medthick))) editcopy
.plotregion1.plot1.bar_drop_to.setstyle , style(x)
.plotregion1.Declare plot2 = .y2xview_g.new , type(rcap) serset(`.s
> ersets[2].objkey') yvariable(`.sersets[2].seriesof _ci_lb') xvari
> able(`.sersets[2].seriesof __000001')     plotregion(`.plotregion
> 1.objkey') style(scheme p2) ybvar(`.sersets[2].seriesof _ci_ub')
.plotregion1.plot2.style.editstyle style(p2) line(color(maroon)) ar
> ea(linestyle(color(maroon))) line(width(medthick)) area(linestyle
> (width(medthick))) editcopy
.plotregion1.plot2.bar_drop_to.setstyle , style(x)
.plotregion1.Declare plot3 = .y2xview_g.new , type(rcap) serset(`.s
> ersets[3].objkey') yvariable(`.sersets[3].seriesof _ci_lb') xvari
> able(`.sersets[3].seriesof __000001')     plotregion(`.plotregion
> 1.objkey') style(scheme p3) ybvar(`.sersets[3].seriesof _ci_ub')
.plotregion1.plot3.style.editstyle style(p3) line(color(green)) are
> a(linestyle(color(green))) line(width(medthick)) area(linestyle(w
> idth(medthick))) editcopy
.plotregion1.plot3.bar_drop_to.setstyle , style(x)
.plotregion1.Declare plot4 = .y2xview_g.new , type(rcap) serset(`.s
> ersets[4].objkey') yvariable(`.sersets[4].seriesof _ci_lb') xvari
> able(`.sersets[4].seriesof __000001')     plotregion(`.plotregion
> 1.objkey') style(scheme p4) ybvar(`.sersets[4].seriesof _ci_ub')
.plotregion1.plot4.style.editstyle style(p4) line(color(orange)) ar
> ea(linestyle(color(orange))) line(width(medthick)) area(linestyle
> (width(medthick))) editcopy
.plotregion1.plot4.bar_drop_to.setstyle , style(x)
.plotregion1.Declare plot5 = .yxview.new , type(scatter) serset(`.s
> ersets[1].objkey') yvariable(`.sersets[1].seriesof _margin') xvar
> iable(`.sersets[1].seriesof __000001')     plotregion(`.plotregio
> n1.objkey') style(scheme p5) 
.plotregion1.plot5.style.editstyle style(p1) marker(fillcolor(none)
> ) marker(size(large)) marker(linestyle(color(midblue))) label(tex
> tstyle(size(medium))) label(textstyle(color(midblue))) editcopy
.plotregion1.Declare plot6 = .yxview.new , type(scatter) serset(`.s
> ersets[2].objkey') yvariable(`.sersets[2].seriesof _margin') xvar
> iable(`.sersets[2].seriesof __000001')     plotregion(`.plotregio
> n1.objkey') style(scheme p6) 
.plotregion1.plot6.style.editstyle style(p2) marker(symbol(D)) mark
> er(fillcolor(none)) marker(size(large)) marker(linestyle(color(ma
> roon))) label(textstyle(size(medium))) label(textstyle(color(maro
> on))) editcopy
.plotregion1.Declare plot7 = .yxview.new , type(scatter) serset(`.s
> ersets[3].objkey') yvariable(`.sersets[3].seriesof _margin') xvar
> iable(`.sersets[3].seriesof __000001')     plotregion(`.plotregio
> n1.objkey') style(scheme p7) 
.plotregion1.plot7.style.editstyle style(p3) marker(symbol(T)) mark
> er(fillcolor(none)) marker(size(large)) marker(linestyle(color(gr
> een))) label(textstyle(size(medium))) label(textstyle(color(green
> ))) editcopy
.plotregion1.Declare plot8 = .yxview.new , type(scatter) serset(`.s
> ersets[4].objkey') yvariable(`.sersets[4].seriesof _margin') xvar
> iable(`.sersets[4].seriesof __000001')     plotregion(`.plotregio
> n1.objkey') style(scheme p8) 
.plotregion1.plot8.style.editstyle style(p4) marker(fillcolor(none)
> ) marker(size(large)) marker(linestyle(color(orange))) label(text
> style(size(medium))) label(textstyle(color(orange))) editcopy
.plotregion1.clear_scales
.plotregion1.reset_scales , noclear
.n_views = 8
.n_plotregions = 1
.last_style = 8
.x_scales = `" "1""'
.y_scales = `" "1""'
.create_axes 1 1 "9" "" 9
.style.editstyle legend_ring(5) editcopy
.style.editstyle legend_position(6) editcopy
.insert (legend = .legend_g.new, graphs(`.objkey') style(scheme)) b
> elow plotregion1 , ring(5) 
.legend.style.editstyle box_alignment(S) editcopy
.legend.holes = ""
.legend.style.editstyle labelstyle( size(medlarge)) editcopy
.legend.holes = ""
.legend.style.editstyle  cols(2) key_xsize(*0.5) force_draw(yes) fo
> rce_nodraw(no) editcopy
.legend.style.editstyle labelstyle( size(medlarge)) editcopy
.legend.holes = ""
.legend.insert (note = .sized_textbox.new, mtextq(`""') style(schem
> e leg_note) ) below plotregion1 , ring(3) 
.legend.note.style.editstyle box_alignment(SW) editcopy
.legend.note.style.editstyle horizontal(left) editcopy
.legend.insert (caption = .sized_textbox.new, mtextq(`""') style(sc
> heme leg_caption) ) below plotregion1 , ring(5) 
.legend.caption.style.editstyle box_alignment(SW) editcopy
.legend.caption.style.editstyle horizontal(left) editcopy
.legend.insert (subtitle = .sized_textbox.new, mtextq(`""') style(s
> cheme leg_subtitle) ) above plotregion1 , ring(6) 
.legend.subtitle.style.editstyle box_alignment(N) editcopy
.legend.subtitle.style.editstyle horizontal(center) editcopy
.legend.insert (title = .sized_textbox.new, mtextq(`""') style(sche
> me leg_title) ) above plotregion1 , ring(7) 
.legend.title.style.editstyle box_alignment(N) editcopy
.legend.title.style.editstyle horizontal(center) editcopy
.legend.rebuild
.legend.parse_order 5 "Dual employed" 6 "Female employed" 7 "Male m
> ployed" 8 "Non employed"
.legend.repositionkeys
.xaxis1.major.clear
.xaxis1.major.add_ticks  1 2 ,  
.xaxis1.major.set_default 0
.xaxis1.reset_scale reinit
.xaxis1.style.editstyle majorstyle( use_labels(yes)  ) editcopy
.xaxis1.major.clear
.xaxis1.major.add_ticks  .7 `" "' 1 `"Dissolution"' 2 `"Marriage"' 
> 2.3 `" "' ,  
.xaxis1.major.set_default 0
.xaxis1.reset_scale reinit
.xaxis1.style.editstyle majorstyle( tickstyle( show_ticks(no)  text
> style( size(large))) ) editcopy
.xaxis1.title.edit , mtextq(`""""')   replace
.yaxis1.major.clear
.yaxis1.major.range_ticks 0 0.3 0.1
.yaxis1.reset_scale reinit
.yaxis1.style.editstyle majorstyle( tickstyle(  textstyle( size(med
> large))) ) editcopy
.yaxis1.major.label_format = `"%03.1f"'
.yaxis1.title.edit , mtextq(`"" ""')   replace
.insert (r1title = .sized_textbox.new, mtextq(`""') style(scheme r1
> title) orientation(vertical)) rightof plotregion1 , ring(1) 
.insert (r2title = .sized_textbox.new, mtextq(`""') style(scheme r2
> title) orientation(vertical)) rightof plotregion1 , ring(2) 
.insert (l1title = .sized_textbox.new, mtextq(`""') style(scheme l1
> title) orientation(vertical)) leftof plotregion1 , ring(1) 
.insert (l2title = .sized_textbox.new, mtextq(`""') style(scheme l2
> title) orientation(vertical)) leftof plotregion1 , ring(2) 
.insert (t1title = .sized_textbox.new, mtextq(`""') style(scheme t1
> title) ) above plotregion1 , ring(1) 
.insert (t2title = .sized_textbox.new, mtextq(`""') style(scheme t2
> title) ) above plotregion1 , ring(2) 
.insert (b1title = .sized_textbox.new, mtextq(`""') style(scheme b1
> title) ) below plotregion1 , ring(1) 
.insert (b2title = .sized_textbox.new, mtextq(`""') style(scheme b1
> title) ) below plotregion1 , ring(2) 
.insert (note = .sized_textbox.new, mtextq(`""') style(scheme note)
>  ) below plotregion1 , ring(4) 
.note.style.editstyle box_alignment(SW) editcopy
.note.style.editstyle horizontal(left) editcopy
.insert (caption = .sized_textbox.new, mtextq(`""') style(scheme ca
> ption) ) below plotregion1 , ring(5) 
.caption.style.editstyle box_alignment(SW) editcopy
.caption.style.editstyle horizontal(left) editcopy
.insert (subtitle = .sized_textbox.new, mtextq(`""') style(scheme s
> ubtitle) ) above plotregion1 , ring(6) 
.subtitle.style.editstyle box_alignment(N) editcopy
.subtitle.style.editstyle horizontal(center) editcopy
.style.editstyle title_position(12) editcopy
.style.editstyle title_span(yes) editcopy
.insert (title = .sized_textbox.new, mtextq(`""{it:Employment (a1)}
> ""') style(scheme title) ) above plotregion1 , ring(7) spancols(a
> ll) spanfit(left right)
.title.style.editstyle box_alignment(N) editcopy
.title.style.editstyle horizontal(center) editcopy
.title.style.editstyle  size(*.9) editcopy
.title.style.editstyle  size(vlarge) editcopy
.insert (spacert = .spacer.new) above plotregion1 , ring(11)
.insert (spacerb = .spacer.new) below plotregion1 , ring(11)
.insert (spacerl = .spacer.new) leftof plotregion1 , ring(11)
.insert (spacerr = .spacer.new) rightof plotregion1 , ring(11)
.command = `"twoway rcap _ci_lb _ci_ub __000001 if __000003 == 1, p
> style(p1)     recast(rcap) lwidth(medthick) lcolor(midblue)   r
> cap _ci_lb _ci_ub __000001 if __000003 == 2, pstyle(p2)     recas
> t(rcap) lwidth(medthick) lcolor(maroon)   rcap _ci_lb _ci_ub __
> 000001 if __000003 == 3, pstyle(p3)     recast(rcap) lwidth(medth
> ick) lcolor(green)   rcap _ci_lb _ci_ub __000001 if __000003 ==
>  4, pstyle(p4)     recast(rcap) lwidth(medthick) lcolor(orange)  
>   scatter _margin __000001 if __000003 == 1, pstyle(p1)    msiz
> e(large)  mlabcolor(midblue) mlcolor(midblue) mfcolor(none) mlabs
> ize(medium)  scatter _margin __000001 if __000003 == 2, pstyle(
> p2)    msize(large)  mlabcolor(maroon) mlcolor(maroon) msymbol(D)
>  mfcolor(none) mlabsize(medium)  scatter _margin __000001 if __
> 000003 == 3, pstyle(p3)    msize(large)  mlabcolor(green)  mfcolo
> r(none) mlcolor(green) msymbol(T) mlabsize(medium)  scatter _ma
> rgin __000001 if __000003 == 4, pstyle(p4)    msize(large)  mlcol
> or(orange) mlabcolor(orange) mfcolor(none) mlabsize(medium)  if
>  __000007 == 1 , title(`"Adjusted Predictions of employ2 with 95%
>  CIs"', span size(*.9))  xlabel(1 2 ) xlabel(, valuelabels) legen
> d(order( 5 `"E/E"' 6 `"M/E,F/NE"' 7 `"M/NE,F/E"' 8 `"M/NE,F/NE"')
>  ) name() saving()  legend( on pos(6) ring(5) size(medlarge) symx
> size(*0.5) col(2) ) plotregion(lcol(black)) xlab(0.7 " " 1 "Disso
> lution" 2 "Marriage" 2.3 " ", noticks labsize(large)) ylab(0(0.1)
> 0.3,format(%03.1f) labsize(medlarge)) ytitle(" ") xtitle("") sche
> me(s1mono) title("{it:Employment (a1)}" , pos(12) size(vlarge)) l
> egend(order(5 "Dual employed" 6 "Female employed" 7 "Male mployed
> " 8 "Non employed") size(medlarge) )"'
.date = "14 Aug 2024"
.time = "15:09:47"
.dta_file = "C:\Users\palumbo\AppData\Local\Temp\70\ST_9af4_000001.
> tmp"
.dta_date = "14 Aug 2024 15:09"
<EndItem>

. 

[Nick Cox]

Thanks. It does look like a proper .gph file. (I've occasionally got into small messes of my own creation, saving as .gph files that are some other format, and vice versa

[Lydia Palumbo]

Thank you for dedicating time! In the end, the problem was sorted out by re-installing Stata 18 ..