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  • #1

    error while using -tabplot- options percent/fraction

    I am using a freshly installed version of -tabplot- from StataJournal (*! 2.8.0 NJC 2 July 2019) which the latest Stata 17. The error occurs when I use the options percent or fraction (see below).

    The error message is
    option 0 not allowed
    and it occurs in this chunk of code:
    ------------------------------------ begin _fr_tbstyle_parse_and_log ---
    - gettoken log 0 : 0
    - gettoken prefix 0 : 0
    - gettoken stylenm 0 : 0
    - syntax [ , TSTYle(string) ANGLE(string) Size(string) Color(string) Jus
    > tification(string) Alignment(string) Margin(string) LINEGAP(string) NOBox Box BMargin(string
    > ) PLACEment(string) BFColor(string) FColor(string) BColor(string) BLSTyle(string) BLWidth(st
    > ring) BLColor(string) BLPattern(string) BLAlign(string) LSTyle(string) LWidth(string) LColor
    > (string) LPattern(string) LAlign(string) ORIENTation(string) * ]
    - local style_eds `"`tstyle'"'
    = local style_eds `""'
    - local line_eds `"`blstyle'"'
    = local line_eds `""'
    - if `"`lstyle'"' != `""' {
    = if `""' != `""' {
    local line_eds `"`line_eds' `lstyle'"'
    }
    - if `"`justification'"' != `""' {
    = if `""' != `""' {
    local style_eds `"`style_eds' horizontal(`justification')"'
    }
    - if `"`alignment'"' != `""' {
    = if `""' != `""' {
    local style_eds `"`style_eds' vertical(`alignment')"'
    }
    - if `"`box'"' != `""' {
    = if `""' != `""' {
    local style_eds `"`style_eds' drawbox(yes)"'
    }
    - else {
    - if `"`nobox'"' != `""' {
    = if `""' != `""' {
    local style_eds `"`style_eds' drawbox(no)"'
    }
    - }
    - if `"`placement'"' != `""' {
    = if `""' != `""' {
    local style_eds `"`style_eds' box_alignment(`placement')"'
    }
    - if `"`bcolor'"' != `""' {
    = if `""' != `""' {
    local style_eds `"`style_eds' fillcolor(`bcolor')"'
    local line_eds `"`line_eds' color(`bcolor')"'
    }
    - if `"`bfcolor'"' != `""' {
    = if `""' != `""' {
    local style_eds `"`style_eds' fillcolor(`bfcolor')"'
    }
    - if `"`fcolor'"' != `""' {
    = if `""' != `""' {
    local style_eds `"`style_eds' fillcolor(`fcolor')"'
    }
    - if `"`bmargin'"' != `""' {
    = if `""' != `""' {
    local style_eds `"`style_eds' boxmargin(`bmargin')"'
    }
    - foreach opt in angle size color margin linegap {
    - if `"``opt''"' != `""' {
    = if `""' != `""' {
    local style_eds `"`style_eds' `opt'(``opt'')"'
    }
    - }
    - if `"``opt''"' != `""' {
    = if `""' != `""' {
    local style_eds `"`style_eds' `opt'(``opt'')"'
    }
    - }
    - if `"``opt''"' != `""' {
    = if `""' != `""' {
    local style_eds `"`style_eds' `opt'(``opt'')"'
    }
    - }
    - if `"``opt''"' != `""' {
    = if `""' != `""' {
    local style_eds `"`style_eds' `opt'(``opt'')"'
    }
    - }
    - if `"``opt''"' != `""' {
    = if `""' != `""' {
    local style_eds `"`style_eds' `opt'(``opt'')"'
    }
    - }
    - foreach opt in width color pattern align {
    - if `"`bl`opt''"' != `""' {
    = if `""' != `""' {
    local line_eds `"`line_eds' `opt'(`bl`opt'')"'
    }
    - if `"`l`opt''"' != `""' {
    = if `""' != `""' {
    local line_eds `"`line_eds' `opt'(`l`opt'')"'
    }
    - }
    - if `"`bl`opt''"' != `""' {
    = if `""' != `""' {
    local line_eds `"`line_eds' `opt'(`bl`opt'')"'
    }
    - if `"`l`opt''"' != `""' {
    = if `""' != `""' {
    local line_eds `"`line_eds' `opt'(`l`opt'')"'
    }
    - }
    - if `"`bl`opt''"' != `""' {
    = if `""' != `""' {
    local line_eds `"`line_eds' `opt'(`bl`opt'')"'
    }
    - if `"`l`opt''"' != `""' {
    = if `""' != `""' {
    local line_eds `"`line_eds' `opt'(`l`opt'')"'
    }
    - }
    - if `"`bl`opt''"' != `""' {
    = if `""' != `""' {
    local line_eds `"`line_eds' `opt'(`bl`opt'')"'
    }
    - if `"`l`opt''"' != `""' {
    = if `""' != `""' {
    local line_eds `"`line_eds' `opt'(`l`opt'')"'
    }
    - }
    - if `"`line_eds'"' != `""' {
    = if `""' != `""' {
    local style_eds `"`style_eds' linestyle(`line_eds')"'
    }
    - if `"`style_eds'"' != `""' {
    = if `""' != `""' {
    if "`stylenm'" != "" {
    local style_eds `"`stylenm'(`style_eds')"'
    }
    .`log'.Arrpush .`prefix'.editstyle `style_eds' editcopy
    }
    - return local rest `"`options'"'
    = return local rest `"0"'
    -------------------------------------- end _fr_tbstyle_parse_and_log ---
    - return local rest `"`r(rest)'"'
    = return local rest `"0"'
    ---------------------------------------- end _fr_textbox_parse_and_log ---
    - return local rest `r(rest)'
    = return local rest 0
    ---------------------------------------- end _fr_sztextbox_parse_and_log ---
    - local 0 `", `r(rest)'"'
    = local 0 `", 0"'
    - }
    - syntax [, FAKE_OPT_FOR_BETTER_MSG ]
    option 0 not allowed
    }
    ---------------------------------------------- end _fr_title_parse_and_log
    The code to reproduce is:

    Code:
    * Example generated by -dataex-. For more info, type help dataex
cwf default
cap frame drop tabp
frame create tabp
cwf tabp
clear
input byte(inst fg) double summe
11  3 125300
11  3 111300
11  3  60100
11  3  68400
11  3  73900
11  3  43300
11  3 941000
11  3  68300
11  3  64200
11 .i  28800
11  3  26500
11  3 136900
11  3   3500
11  3  85700
11  3  45600
11  4 136900
11  3  18100
11  3  66900
11  3  75400
11  3  71500
11  3 136900
11  3  88800
11  3 136900
11  3 131400
11  3 136900
11  3  73500
11  3  43200
11  3  36000
11  3  10400
11  3  84700
11  3 142400
11  3  35200
11  3  13000
11  3  68400
11  4  67000
11  3  34200
11  3  29800
11  4  68800
11  3  68400
11  3 142400
11  3  34200
11 .i  57600
11  3  66500
11  4  51300
11  4  67000
11  3  66300
11  3  44300
11  4  67200
11  3  28400
11  3 136900
11  4  98800
11  4 110300
11  3  46700
11  3 136900
11  3  21100
11  3 103500
11  3  12000
11  3  41700
11  3 259500
11  3  74500
11  4   6100
11  3  68400
11  3  71300
11  3  68400
11  3 108500
11  4  72600
11  3 153200
11  4  13300
11  3  10300
11  3  69400
11  3 144300
11  3 364600
11  3 118600
11  3  66300
11  3 110200
11  4  28600
11  3 111300
11  4  38900
11  3  61200
11  3  71300
11  3  42700
11  3  71200
11  4  38900
11  3  34700
11 .i  68900
11  3  69400
11  3 138800
11  3 144300
11 .i 101000
11  4  69800
11  3  41100
11  3 138800
11  4 138800
11  3  76400
11  3  69400
11  3 138800
11  3  60100
11  3  69400
11  3  72700
11  3  53400
11  3  33900
11 .i 110400
11  3  10400
11  4  68400
11  3 182800
11  3  69400
11  3 138800
11  4  33600
11  3  67300
11  4  56600
11  3  80700
11  3  75500
11  3  34700
11  4 130700
11  4  32400
11  4  16400
11 .i  66800
11  3  21100
11  3 387900
11  3  60900
11  3 138800
11  3 138800
11  3  68900
11  3  71500
11  3  77100
11  3  32000
11  3 141800
11  3  35400
11  3  33000
11  3 110200
11  3  35400
11 .i  68900
11 .i 110400
11  3  70900
11  3  70900
11  4 141800
11  4  66700
11  3  50800
11  3 171500
11  4  72600
11  3 247000
11  3 141800
11  3  63700
11  3  76400
11  3  70200
11  4  56600
11  3  92700
11  3  23400
11  3 141800
11 .i 113900
11  3  71200
11  3 108500
11  3  51600
11  3  71200
11  3  84700
11  3  77000
11  3 141800
11  3 141800
11  3  70900
11  3  35400
11  3  70900
11  4  65300
11  4  53100
11  3  12000
11  3   6700
11  3  77900
11  3  62800
11 .i 101000
11  3  66200
11  3 147300
11  4 130700
11  3 141800
11  3  70900
11  3 333200
11  3 153200
11  3  24800
11  3  65800
11  3  61200
11  4 113500
11  3 107100
11  3    800
11  3  28400
11  3  43900
11  3 108800
12  3 464900
12  5  68700
12  5  59200
12  5  66100
12  5  15100
12  5  65500
12  4 135700
12  3  50100
12  5   5400
12  5  66500
12  3 136900
12  3 109100
12  5 127300
12  5 150000
12  3 136900
12  6  58600
12  5  52700
12  5  88400
12  5 113800
12  3  75400
12  3 103500
12  5  69900
12  5 113800
12  3  68900
12  5 139600
12  5 191800
12  3 368400
12  5  68700
12  5  63700
12  5  57600
12  3  55400
12  3 138800
12  3  73700
12  4 135700
12  5  57200
12  3 110900
12  3  51100
12  5  32500
12  5   5600
12  3 138800
12  5  67900
12  5 150000
12  3  76400
12  5  88400
12  5  28200
12  5  69900
12  3 113500
12  3   6000
12  5  56100
12  5  34600
12  5  57600
12  3  79000
12  5  75900
12  5  85100
12  3  75400
12  5 137300
12  5  72600
12  3  77900
12  4  98200
12  5  34000
12  3 141800
12  5  63700
12  5  67900
12  5 220900
12  5 142500
12  3  52600
12  3  55400
12  3 141800
12  3 504500
12  5  63400
12  5  74700
13  8  87900
13  8  42100
13  8   6400
13  8  23600
13  4  82100
13  8  59100
13  3  82000
13  8 100600
13  3  82000
13  8 176900
13  8  87900
13  3  83600
13  3  84300
13  3  84300
13  3  83600
13  8 117700
13  8 100600
14  7  40700
14  7  11000
14  7  64000
14  7  40800
14  7  65900
14  7  64000
14  7 165500
14  7   5500
14  7  14600
14  7  10000
14  7  65900
14  7  29100
14  7  39100
14  7 326100
14  7  58600
14  7  65400
15  3  28200
15  4  68200
15  3  87000
15  4  73100
15  4 929500
15  3  64500
15  3 100300
15  3 102200
15  3  40000
15  5  30500
15  4  68200
15  4 965700
15  3  55900
15  4  73100
15  3  87000
15  4  12200
15  4  12500
15  3  55900
15  4 973000
15  3  87000
15 .i  69300
15  4  74900
15  3 105200
15  5  72800
15  4  22400
15  4   2000
15  4  73000
15  4  24000
15  3  40600
16  6  57900
16 .i  49600
16  6  74700
16  6  64000
16  6  60800
16  6  50100
16  6  60400
16 .i  48100
16  6  48900
16  6 103500
16  6  52800
16 .i  49600
16  6  62400
16 .i 100700
16  6  60300
16  6   7500
16  6  72600
16  6 164700
16  6  65700
16  6   4900
16  6  53600
16  6   3500
16  6  72900
16 .i 100700
16  6   3700
16  4  21100
16  6 103500
16 .i  78600
16  6  66500
16  6  64400
16  6  89000
16  6  35000
16  6  64000
16  6  64000
16  6  40700
16  6  61600
16  6  43400
16  6 164700
16  6  63000
16  6  49100
16  6  66400
16  6  73700
16 .i  63000
16 .i  70400
16  6  59000
16  6   5800
16  6 109100
16  6 131800
16  6  42600
16  6  75300
16  6  73500
16  6   3700
16  6  66100
16  4  31500
16  6  60100
16 .i  63000
16  6  91900
16  6  63600
16  6  65200
16  6  60600
16  6  89000
16  6  66500
16  6 164700
16  6   5800
16  6  72900
16  6  64000
16  6  64400
16  6  63000
16 .i  78600
16 .i  70400
17  4  94100
17  2  15800
17  2  42500
17  2  56400
17  2   8500
17  2 105000
17  2  61600
17  2 110900
17  2  53500
17  4  26700
17  4  95900
17  2 105400
17  2  95000
17  2  10000
17  2 110800
17  2  51600
17  2   5800
17  2  96100
17  4  87200
17  4  50600
17  2   6300
17  2 117700
17  2   6100
17  2  68900
17  2 132200
17  2   1400
17  4  46500
17  2 105400
17  2  79100
17  2 117300
37  4 144600
37  3 123700
37  4 173500
37  4  66700
37  3  74900
37  4 138400
37  4 106000
37  4 128900
37  4  24400
37  4  42500
37  5  44400
37  4  13400
37  3  68400
37  4  47000
37  4  80400
37  4  67700
37  4 104200
37  1  13700
37  4 105700
37  4  77500
37  4  40500
37  4  77400
37  4  46900
37  3  71900
37  3 136900
37  4  78300
37  4 111100
37  4  77050
37  4  68400
37  4  38700
37  4 175200
37  4  31800
37  3  12200
37  4  42500
37  4  90600
37  4  32100
37  4  77050
37  4 123000
37  4  17500
37  4  65900
37  4  83700
37  4  75500
37  4  73300
37  4 134400
37  4  41500
37  4 106100
37  4  65700
37  4  51200
37  2  18800
37  4  15100
37  4  51200
37  4 108300
37  4  65700
37  4  87300
37  4  68400
37  4 589600
37  4  27400
37  4  92700
37  4  90600
37  3  62300
37  4 813100
37  4 114500
37  2  57400
37  4  78300
37  4  63100
37  4  65900
37  4  86500
37  4  70900
37  4  87300
37  4  73000
37  4  25300
37  4 144900
37  4  19700
37  4 112900
37  4  76525
37  2  14100
37  4 105200
37  4  79700
37  4  66700
37  3  69400
37  4 602600
37  4  52100
37  4 112900
37  4 114500
37  4 176400
37  4  15900
37  4 112100
37  3  57000
37  4  56300
37  4  67700
37  4  15000
37  3  75900
37  4  77400
37  4  69400
37  4  30900
37  4  86900
37  4  37800
37  2  68400
37  2  42900
37  4  20100
37  4  41500
37  4  76525
37  4 175200
37  4  20300
37  4  30400
37  4 144900
37  4  49700
37  4  66900
37  4  16900
37  4  16000
37  4  79700
37  4  99000
37  5  66200
37  4 107800
37  4  77500
37  4 107900
37  4  24700
37  4  20900
37  4  69400
37  4 111100
37  3 122700
37  4  71900
37  4 112500
37  4 107500
37  4  42900
37  4  52100
37  4  86500
37  4 130100
37  4 926700
37  4  66700
37  4 117800
37  4  86900
37  4 104400
37  4 146500
37  3 123700
37  4 110600
37  3 141300
37  4 108900
37  4  73300
37  4  22300
37  1  63800
37  4  17400
37  4  83700
37  4  76525
37  3 105900
37  4  42900
37  4  73000
37  3  73300
37  4  75500
37  4  99400
37  4  79300
37  4 138800
37  4  82200
37  4 101600
37  4  66900
37  4  83900
37  4  91200
37  3  34800
37  4  56300
37  4  12200
37  4  25400
37  4   7800
37  4 108200
37  3  61300
37  4  70900
37  3 101200
37  2  60500
37  3 122700
37  4 202200
37  4  28400
37  4  80200
37  4 105200
37  4  11800
37  4 414300
37  4 149600
37  4  72600
37  2  20200
37  4  85600
37  2  36600
37  4  27800
37  4  79800
37  2   6600
37  4 180800
37  4  77100
37  4  99400
37  2  28400
37  4 115100
37  4  52600
37  4  92000
37  4  13900
37  4 936100
37  4  22200
37  4  66400
37  4 116800
37  4  65800
37  4 117800
37  4  92000
37  3  77300
37  4 115200
37  4 112100
37  4  60200
37  4  77700
37  4  16000
37  5  66200
37  4 101600
37  4  56300
37  4  77100
37  4 122200
37  4  76600
37  4  20800
37  4  60900
37  4  70900
37  4  73700
37  4  83900
37  4  59600
37  4  72600
37  4 141800
37  4 111500
37  4 151100
37  3  70900
37  4  76600
37  4 535600
37  4  11800
37  2  68400
37  4  92500
37  3 144200
37  4  44000
37  4  52600
37  3  73300
37  4  92500
37  4  83000
37  4  44000
37  4 173600
37  4 235200
37  4 110600
37  4  91200
37  1  63800
37  4 118700
37  4  77100
37  4  45300
37  4  77500
37  4  66400
37  4  73300
37  4  69400
37  4 115100
43  4 129400
43  4   9600
43  3  69800
43  4  77900
43  4  43300
43  4  67200
43  4  42000
43  4  67200
43  4  65400
43  4  72200
43  3  34000
43  4 110300
43  4 314100
43  4  64100
43  4 171400
43  4  21200
43  3 357300
43  4  22100
43  4  32100
43  4 142200
43  4  90600
43  4  67200
43  4 120400
43  4 106000
43  4  94700
43  4  23800
43  4   6000
43  3  52600
43  4  88400
43  4 133200
43  4 115400
43  4  45000
43  4  60600
43  4  84400
43  4  25300
43  4 139900
43  4  13600
43  4 329400
43  4 113900
43  3  61300
43  4 133900
43  4  37000
43  4  73300
43  4  64100
43  4   4900
43  3  64500
43  4  41700
43  4  89100
43  3  54600
43  8  49400
43  4 142600
43  4 106400
43  3  12100
43  4  94700
43  4 131500
43  4 112100
43  4 174300
43  3  80400
43  4 556400
43  4  38000
43  4  34900
43  3  40000
43  4  94700
43  4 141900
43  4  68400
43  4  68800
43  4  88200
43  4  57100
43  4  77800
43  4  88200
43  4 144900
43  4  73300
43  4  25300
43  4  66300
43  4  21200
43  4  65100
43  4  70700
43  4  59700
43  4  71400
43  4  72200
43  4  76600
43  4  73100
43  4 110300
43  4  63100
43  3  69800
43  3  11100
43  4  76525
43  4   6600
43  4 314100
43  4  57500
43  3 108400
43  4  68800
43  3  67600
43  3  56100
43  4 115800
43  4  42100
43  4  34800
43  4  48400
43  4 115400
43  3 168200
43  4  65100
43  4  24100
43  4  86900
43  3 170800
43  4  19900
43  4 134400
43  4  16800
43  4 115400
43  4 413700
43  4 148500
43  3  28900
43  4  72600
43  4  47300
43  4  62700
43  4  60800
43  3  67600
43  4  48100
43  4 178700
43  4  70900
43  4  77100
43  4  32400
43  4  86300
43  3 108400
43  4  70200
43  4  70700
43  4  29900
43  4 118300
43  4  81900
43  4  69400
43  4  77700
43  4  70200
43  3  80400
43  4 154700
43  4  17500
43  4  71400
43  4  73400
43  4 144800
43  4  77900
43  4  71200
43  4  75800
43  4  90200
43  3  40600
43  4  71200
43  4  80000
43  4  68400
43  4 112100
43  4  64900
43  4  19400
43  4  90200
43  4  26100
43  4 148600
43  4  34300
43  4  67800
43  4 118400
43  4  34300
end
label values inst inst
label def inst 11 "WE B", modify
label def inst 12 "WE C", modify
label def inst 13 "WE I", modify
label def inst 14 "WE M", modify
label def inst 15 "WE P", modify
label def inst 16 "WE P", modify
label def inst 17 "WE P", modify
label def inst 37 "Inst", modify
label def inst 43 "Kli", modify
label values fg l_fg
label def l_fg 1 "Gei", modify
label def l_fg 2 "Soz", modify
label def l_fg 3 "Bi", modify
label def l_fg 4 "Me", modify
label def l_fg 5 "Ch", modify
label def l_fg 6 "Ph", modify
label def l_fg 7 "Ma", modify
label def l_fg 8 "In", modify
label def l_fg .i "irr", modify

tabplot inst fg [fw=summe], ///
            note("") missing percent separate(inst)
    Tags: None
  • #2
    In addition the code used in my former post does work. see https://www.statalist.org/forums/for...13#post1599213
    Code:
    sysuse auto, clear
split make, parse(" ")
encode make1, gen(brand)
contract brand foreign rep78, zero
gen double _freq2 = cond(_freq == 0, 1e-9, _freq)
tabplot brand rep78 if foreign == 0 [iw=_freq2], percent(brand) min(1) separate(rep78) showval(,mlabs(vsmall) ) name(f0, replace) xasis

clonevar fa = _freq
replace fa = 1 if brand == 2 & foreign==0 & inlist(rep78,4)
replace fa = 5 if brand == 2 & foreign==0 & inlist(rep78,2,3,5)
replace fa = 1 if brand == 2 & foreign==1 & rep78==4
replace fa = 6 if brand == 3 & foreign==0 & inlist(rep78,2,3,5)
replace fa = 1 if brand == 3 & foreign==0 & inlist(rep78,4)
replace fa = 8 if brand == 3 & foreign==1 & inlist(rep78,2,3,5)
replace fa = 2 if brand == 9 & foreign==0 & inlist(rep78,2,3)
replace fa = 10 if brand == 9 & foreign==1 & rep78==2

gen double fa2 = cond(fa == 0, 1e-9, fa)

tabplot brand rep78 [iw=fa2], by(foreign) percent(brand) min(1) separate(rep78) showval(,mlabs(vsmall) ) name(f1, replace) xasis height(0.6)

    Comment

    • #3
      #1 That code runs for me without a problem.

      Comment

      • #4
        Strange I tested it with two computers at work and both setups create the error.
        I'll test it at home tonight on another two computers...
        Last edited by Marc Kaulisch; 01 Apr 2022, 04:52.

        Comment

        • #5
          I am lost - my first try at home gives me:
          Attached Files

          Comment

          • #6
            Originally posted by Nick Cox View Post
            #1 That code runs for me without a problem.
            I have tried it now with four different Stata installations. I get every time the same error.

            Comment

            • #7
              Not so; you get different errors. Option 0 and option 6 are being objected to variously.

              Again, I get a graph fine with your data example, your code and this set-up.

              Code:
              . about

Stata/MP 17.0 for Windows (64-bit x86-64)
Revision 15 Feb 2022
Copyright 1985-2021 StataCorp LLC

Total physical memory:        8.00 GB
Available physical memory:    0.92 GB

Stata license: Single-user 4-core  perpetual
<personal details> 

. which tabplot
C:\Users\Laptop\ado\plus\t\tabplot.ado
*! 2.8.0 NJC 2 July 2019
              The error is deep inside official Stata code for frames -- not tabplot as such. Still, I have no idea why it is biting you and not me.

              Comment

              • #8
                Originally posted by Nick Cox View Post
                The error is deep inside official Stata code for frames -- not tabplot as such. Still, I have no idea why it is biting you and not me.
                Thank you very much for your investigation. I'll ping StataTech Support.

                My home computer is
                Code:
                . about

Stata/MP 17.0 for Windows (64-bit x86-64)
Revision 15 Feb 2022
Copyright 1985-2021 StataCorp LLC

Total physical memory:       64.00 GB
Available physical memory:   52.42 GB

Stata license: Single-user 2-core , expiring 31 Aug 2022
<personal details>

. which tabplot
c:\ado\plus\t\tabplot.ado
*! 2.8.0 NJC 2 July 2019

                Comment

                • #9
                  Originally posted by Nick Cox View Post
                  #1 That code runs for me without a problem.
                  Dear Nick Cox , may you try to run the code with - set dp comma-.
                  When I switch to -set dp period- my code works. After I got feedback from Stata Tech Support. I have looked again at the traced code and I wondered about "28,6".

                  So I get
                  Code:
                   else local BIGGEST = `biggest'
  = else local BIGGEST = 28.60935357307442
(...)
 - if "`percent'`percent2'" != "" local format %2.1f
  = if "percent2" != "" local format %2.1f
  - else if "`fraction'`fraction2'" != "" local format %4.3f
  = else if "" != "" local format %4.3f
  - else if "`pm'`pm2'" != "" local format %3.0f
  = else if "" != "" local format %3.0f
  - local biggest = trim("`: di `format' `biggest''")
  = local biggest = trim("28,6")
  - if "`frame'" != "" local note "note(`text': `biggest'; frame: `frame')"
  = if "" != "" local note "note(maximum: 28,6; frame: )"
  - else local note "note(`text': `biggest')"
  = else local note "note(maximum: 28,6)"
  - }
  - if `"`by'"' == "" {
  = if `""' == "" {
  - local notwithby "subtitle(`what', place(w) size(medsmall)) legend(off) `note'"
  = local notwithby "subtitle(percent, place(w) size(medsmall)) legend(off) note(maximum: 28,6)"
                  This 28,6 somehow seems to lead to:
                  Code:
                   = while `"maximum: 28,6"' != `""' {
                - local rest `"`options'"'
                = local rest `"subtitle(percent, place(w) size(medsmall))"'
                - _parse comma curlines 0 : `ttype'
                = _parse comma curlines 0 : note
                - syntax [ , NOSPAN SPAN PREFIX SUFFIX POSition(string) RING(string) STYle(string) * ]
                - if `"`curlines'"' != `""' {
                = if `"maximum: 28"' != `""' {
                - if "`suffix'" != "" {
                = if "" != "" {
                  local lines `"`lines' `curlines'"'
                  if "`prefix'" != "" {
                  di as text "option prefix ignored, " "may not be combined with suffix"
                  }
                  }
                - else {
                - if "`prefix'" != "" {
                = if "" != "" {
                  local lines `"`curlines' `lines'"'
                  }
                - else {
                - local lines `"`curlines'"'
                = local lines `"maximum: 28"'
                - }
              
                - local uoptions `uoptions' (`options')
                = local uoptions  (6)
(...)
 - while `++i' < 20 & `"`uoptions'"' != `""' {
                = while 1 < 20 & `"(6)"' != `""' {
                  And here it comes the "option 6 not allowed" error message.

                  Comparing the two traced outcomes the issue is becoming obvious:
                  Click image for larger version Name: 2022-04-08_tabplot_try_periodcomma.png Views: 1 Size: 53.8 KB ID: 1658743

                  Last edited by Marc Kaulisch; 08 Apr 2022, 15:38.

                  Comment

                  • #10
                    That's very helpful. The bug is in tabplot that when
                    Code:
                    set dp comma
                    is on the comma in numbers like 1,2 or 3,4 will be misinterpreted as an option switch within note(). As Marc Kaulisch hints, different numbers will trigger different error messages.

                    I was wrong in #2 to point to the frames commands: the original error comes from deep inside graph.

                    Marc's original example can be trimmed down to this:

                    Code:
                    set scheme s1color 
set dp comma 
cwf default
cap frame drop tabp
frame create tabp
cwf tabp
clear
* Example generated by -dataex-. For more info, type help dataex
clear
input byte(inst fg) double summe
11  3 13094600
11  4  2112700
11 .i   827700
12  3  3407100
12  4   369600
12  5  3269800
12  6    58600
13  3   499800
13  4    82100
13  8   802800
14  7  1066200
15  3   853800
15  4  3371800
15  5   103300
15 .i    69300
16  4    52600
16  6  3692500
16 .i   772700
17  2  1563300
17  4   401000
37  1   141300
37  2   422300
37  3  2005200
37  4 20424475
37  5   176800
43  3  1804500
43  4 11565325
43  8    49400
end
label values inst inst
label def inst 11 "WE B", modify
label def inst 12 "WE C", modify
label def inst 13 "WE I", modify
label def inst 14 "WE M", modify
label def inst 15 "WE P", modify
label def inst 16 "WE P", modify
label def inst 17 "WE P", modify
label def inst 37 "Inst", modify
label def inst 43 "Kli", modify
label values fg l_fg
label def l_fg 1 "Gei", modify
label def l_fg 2 "Soz", modify
label def l_fg 3 "Bi", modify
label def l_fg 4 "Me", modify
label def l_fg 5 "Ch", modify
label def l_fg 6 "Ph", modify
label def l_fg 7 "Ma", modify
label def l_fg 8 "In", modify
label def l_fg .i "irr", modify

tabplot inst fg [fw=summe], ///
            note("") missing percent separate(inst)
                    I've fixed the error in my version of the code. I will send the code to Marc for further testing. Marc: Please send a personal message with email address to get the latest version of the code.

                    Comment

                    • #11
                      This bug is now fixed, I hope. Thanks again to Marc Kaulisch for the report. Posting of a revised version will be made in another thread.

                      Comment

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