
  Note: formats.txt = information bulletin w_readme.f1

 1. Importing data into Simfit 
 2. Simfit file format
 3. Examples
     Example  1: vector.tf1   (5 rows and 1 column, i.e. a vector)
     Example  2: matrix.tf1   (5 rows and 5 columns, i.e. a matrix)
     Example  3: binomial.tf3 (5 rows and 3 columns of integers)
     Example  4: cluster.tf1  (using begin{labels} ... end{labels})
     Example  5: piechart.tf1 (advanced pie chart) 
     Example  6: barchart.tf1 (advanced bar chart) 
     Example  7: kmeans.tf1   (various uses of begin{} ... end{}) 
     Example  8: gauss3.tf1   (adding starting estimates and parameter limits)
     Example  9: manova1.tf1  (adding group numbers in column 1)
     Example 10: surface.tf1  (plotting a 3D surface or contours)
     Example 11: images.tfl   (a library file)

 1. Importing data into Simfit 
 ---=-------------------------

 All simfit procedures that require data for curve fitting, statistical
 analysis, or plotting require a rectangular matrix of data values with
 no missing values, such as the following table.

 1.1   1.2   1.3   1.4
 2.1   2.2   2.3   2.4
 3.1   3.2   3.3   3.4
 4.1   4.2   4.3   4.4

 Sometimes the rows and columns will require labels for plotting
 as in the next table.

 Row/Col Column_1  Column_2 Column_3 Column_4
 Row_1        1.1       1.2      1.3      1.4
 Row_2        2.1       2.2      2.3      2.4
 Row_3        3.1       3.2      3.3      3.4
 Row_4        4.1       4.2      4.3      4.4

 However, note that there must be a dummy label in the top left hand
 cell, and also row and column labels must not have any spaces. The
 numbers can be in any format, e.g. 1, 1.0, 1.0E+00 for one, and the 
 columns can be separated by commas or tabs if you want.
  
 By far the easiest way to import such data into Simfit is to highlight
 a table (with or without labels) in your spreadsheet, and then copy the 
 selected table to the clipboard. When Simfit requests new data the 
 [Paste] button will then become activated, and by pressing this the table
 will be written to a temporary file in Simfit format for analysis.
 
 Other possibilities are to export a data file in comma-separated-variable,
 tab-separated-variable, XML or HTML formats from your spreadsheet, as these 
 can be read directly into Simfit. Macros such as simfit6.xls are provided
 to export such files directly from Excel, and another possibility is to
 import data into the Simfit program Maksim which can transform a table into
 Simfit file format. 

 2. Simfit file format
 ---------------------

 Frequently it is necessary to import extra data into Simfit, such as starting
 estimates for K-means clusters, or parameter limits for constrained curve
 fitting, and for this purpose it is much better to use text files in Simfit
 file format, where the extra data values are appended to the data file. Such
 files can easily be made using a text editor, such as Notepad, or using the
 suite of Simfit programs provided for this purpose such as:

 Makfil ... prepare curve fitting files
 Editfl ... edit curve fitting files
 Makmat ... prepare rectangular data tables
 Editmt ... edit rectangular data tables
 Maklib ... make a library file
 Maksim ... Transform a table into a Simfit format file 
 
 These programs have a great many features that make Simfit file preparation
 and editing much simpler, such as making sure X-values are in nondecreasing
 order or weights are nonnegative in curve fitting files. They can also be
 used to join files, transpose data sets, delete/add rows/colums, etc.

 The Simfit file format is extremely simply, namely, a title, a header with
 row and column dimensions, the data table, then an optional trailer section
 as in the next example (where comments are added at the symbol...).

 Simple example     ... the title
 2 4                ... the header (2 rows and 4 columns)
 1 2 3 4            ... row 1
 5 6 7 8            ... row 2
 2                  ... indicates 2 extra lines
 An extra line      ... extra line 1
 Another extra line ... extra line 2

 Simfit has the ability to import large numbers of files at the same time which
 is very useful, e.g. for fitting components for systems of differential equations,
 or plotting manay files simultaneously.  This uses a library file or alternatively
 the project archive technique.

 3. Examples
 -----------
 
  Example 1: vector.tf1 (5 rows and 1 column, i.e. a vector)
  ----------------------------------------------------------

  This just illustrates a header consisting of a title, then row and
  column dimensions, followed by one column of data, then finally
  an unused trailer.  

Test file vector.tf1: Vector with components 1, 2, 3, 4, 5
     5     1
  1.0000E+00
  2.0000E+00
  3.0000E+00
  4.0000E+00
  5.0000E+00
     1
Default line

  Example 2: matrix.tf1 (5 rows and 5 columns, i.e. a matrix)
  -----------------------------------------------------------

  This time the data set is a matrix.

Test file matrix.tf1 : arbitrary 5 by 5 matrix
     5     5
  1.2000E+00,  4.5000E+00,  6.1000E+00,  7.2000E+00,  8.0000E+00
  3.0000E+00,  5.6000E+00,  3.7000E+00,  9.1000E+00,  1.2500E+01
  1.7100E+01,  2.3400E+01,  5.5000E+00,  9.2000E+00,  3.3000E+00
  7.1500E+00,  5.8700E+00,  9.9400E+00,  8.8200E+00,  1.0800E+01
  1.2400E+01,  4.3000E+00,  7.7000E+00,  8.9500E+00,  1.6000E+00
     1
Default line

   Example 3: binomial.tf3 (5 rows and 3 columns of integers)
   ----------------------------------------------------------

   Now the entries are integers and the trailer is used to describe 
   the meaning of the observations.

Test file binomial.tf3: y,N,x for analysis of proportions
5, 3
  23,  84, 1
  12,  78, 2
  31, 111, 3
  65,  92, 4
  71,  93, 5
3
Column 1 = y, no. successes
Column 2 = N, no. Bernoulli trials, N >= y > = 0
Column 3 = x, x-coordinates for plotting

  Example 4: cluster.tf1 (illustrating begin{labels} ... end{labels}
  ----------------------------------------------------------------- 

  In this example the trailer contains all the row labels to be
  plotted. To use this method, the labels must be the entries in a
  begin{labels} ... end{labels} structure. Also appended to the file
  are details about the meaning of the columns.

Test file cluster.tf1: Cluster analysis data, e.g. dendrogram
    12   8
 1   4   2  11   6   4   3   9
 8   5   1  14  19   7  13  21
 3   1   3   1   3   6  23  37
 9   0   7   7   1   2  21   2
 7  12   9   5  14   9  12  14
 2  13  15   2  23   6  34   8
11   7   2   1   4  17  11   4
 6   3   7  12  11   8   8   0
 8  21   1  10  31   9   3  18
19  14  12   9  16  10   0  27
17  18  10   6  19  14   1  24
15  21   8   7  17  12   4  22
    28
begin{labels}
A-1
B-2
C-3
D-4
E-5
F-6
G-7
H-8
I-9
J-10
K-11
L-12
V1
V2
V3
V4
V5
V6
V7
V8
end{labels}
Meaning of the above 37 lines:-
Line 1 = dendrogram title
Line 2 = no. rows (cases) no. columns (variables)
Lines 3 to 14 =  data matrix
Line 15 = no. extra lines (not necessary, can be omitted)
Lines 17 to 37 = labels

   Example 5: piechart.tf1 (advanced pie chart) 
   --------------------------------------------

   Normal pie charts can be plotted from a simple vector of
   nonnegative numbers proportional to segment areas, but here
   a method for creating advanced pie charts is illustrated.

Advanced pie chart 1:  fill styles
   10     4
  1.0,  1.0, 0.0, 15
  1.0,  2.0, 0.0, 15
  1.0,  3.0, 0.0, 15
  1.0,  4.0, 0.0, 15
  1.0,  5.0, 0.0, 15
  1.0,  6.0, 0.0, 15
  1.0,  7.0, 0.0, 15
  1.0,  8.0, 0.0, 15
  1.0,  9.0, 0.0, 15
  1.0, 10.0, 0.0, 15
    12
begin{labels}
Style 1
Style 2
Style 3
Style 4
Style 5
Style 6
Style 7
Style 8
Style 9
Style 10
end{labels}

1) Explanation of the above data values
=======================================

line 1: title 

line 2: m = no. rows, n = no. columns 

line 3: onwards

   Each line of data looks like this:-
   A, B, C, D
   and has the following interpretation:-
    A = value for the sector (>= 0)
    B = fill style for the sector   (between 0 and 10)
    C = displacement for the sector (between 0 and 1)
    D = colour for the sector       (between 0 and 71)

line m + 3: no. of meaningful trailing text lines

a) begin{labels} indicates the start of the segment labels
b) the next m lines are the segment labels
c) end{labels} indicates the end of the segment labels 

2) More about A, B, C and D
===========================

A: values =< 0 are not allowed

B = 0  no display
B = 1  empty
B = 2  solid
B = 3  upward diagonals
B = 4  downward diagonals
B = 5  criss cross
B = 6  horizontal
B = 7  vertical
B = 8  dashes
B = 9  dots
B = 10 dots-dashes

C = 0  minimum displacement
C = ?  fractional displacement if between 0 and 1
C = 1  full displacement

D = 0  Black
D = 1  Blue
D = 2  Green
D = 3  Cyan
D = 4  Red
D = 5  Magenta
D = 6  Brown
D = 7  White
D = 8  Dark Gray
D = 9  Light Blue
D = 10 Light Green
D = 11 Light Cyan
D = 12 Light Red
D = 13 Light Magenta
D = 14 Yellow
D = 15 Intense White, etc. (see w_ps.cfg)

3) More about segment labels
============================

It is also possible to add the labels directly after line
m + 3 and without the begin{labels}...end{labels} as long
as the integer on line m + 3 is >= m.


4) Using a vector file directly
===============================

There is also a short method to plot piecharts.

For instance, If you input a short column vector containing 
only nonnegative values, a default advanced barchart file 
will be generated from it and plotted directly.
 

   Example 6: barchart.tf1 (advanced bar chart) 
   --------------------------------------------

 Normal bar charts can be plotted from a simple matrix where the
 columns represent groups and the rows independent sets of
 observations. but here the technique for creating an advanced
 bar chart is illustrated.

Advanced barchart 1: box and whisker plot
     5     9
  1.0, -2.0, -1.0,  0.0,  2.0,  3.0, 1.0, 1.0, 15.0
  3.0, -1.0,  0.0,  2.0,  4.0,  5.0, 1.0, 1.0, 15.0
  5.0,  1.0,  2.0,  3.0,  5.0,  6.0, 1.0, 1.0, 15.0
  7.0,  0.0,  1.0,  2.0,  4.0,  5.0, 1.0, 1.0, 15.0
  9.0,  1.0,  3.0,  5.0,  6.0,  7.0, 1.0, 1.0, 15.0
     7
begin{labels}
January
February
March
April
May
end{labels}

1) Explanation of the above data values
=======================================

line 1: title

line 2: m = no. rows, n = no. columns

line 3: onwards
   Each line of data looks like this:-
   x, y1, y2, y3, y4, y5, f, w, c
   and has the following interpretation:-
    x = x coordinate for the bar (x in nondecreasing order)
   y1 = y for bottom of range    (i.e. bottom error bar)
   y2 = y for lower quartile     (i.e. bottom of box)
   y3 = y for median of data     (i.e. divider for box)
   y4 = y for upper quartile     (i.e. top of box)
   y5 = y for top of range       (i.e. top eror bar)
    f = fill-style               (between 0 and 10)
    w = width                    (between 0 and 1)
    c = colour                   (between 0 and 71)

line m + 3: no. of important trailing text lines 

In this case the first m + 2 of these are as follows: 
a) first of all begin{labels} to indicate the start of the labels,
b) then the consecutive labels for data rows 1 to m, 
c) then finally end{labels} to indicate the end of the labels. 


2) Generating advanced bar chart files interactively
====================================================
This advanced bar chart format is designed so that arbitrary
bar charts with any possible configuration of stacks, overlaps,
different box widths, hanging boxes, etc., can be created.
But note that simple default box and whisker and bar chart 
plots can also be generated directly from rectangular data
matrices, using the exhaustive analysis of a matrix technique.
For such box and whisker plots, the boxes and whiskers are
generated from the median and quartiles of the column values
along each row, while for bar charts the column values along 
each row are taken to be values for the successive bars
within each group. When a matrix is plotted in this way, an 
advanced bar chart file like this one is generated 
automatically.

3) The allowed values for x, y, f, w and c
==========================================
x: consecutive values lead to adjacent bars in the plot, intervals of
   1 or more generate spaces between bars, identical x values lead to
   stacking
y: by setting appropriate y values you can suppress error and median
   bars and so create bars or stacks of bars with any y coordinates
   you like
f = 0  no display
f = 1  empty
f = 2  solid
f = 3  upward diagonals
f = 4  downward diagonals
f = 5  criss cross
f = 6  horizontal
f = 7  vertical
f = 8  dashes
f = 9  dots
f = 10 dots-dashes
w = 0  minimum width bar
w = ?  fractional width of the bar if between 0 and 1
w = 1  full width bar
c = 0  Black
c = 1  Blue
c = 2  Green
c = 3  Cyan
c = 4  Red
c = 5  Magenta
c = 6  Brown
c = 7  White
c = 8  Dark Gray
c = 9  Light Blue
c = 10 Light Green
c = 11 Light Cyan
c = 12 Light Red
c = 13 Light Magenta
c = 14 Yellow
c = 15 Intense White, etc. (see w_ps.cfg)

4) Details about labels
=======================
Note that, as long as the labels follow directly after line m + 3,
and the integer on this line is at least m, then the begin{labels}
and end{labels} can be omitted. Also, if the advanced bar chart file
has m rows which are to be interpreted as k sets of l bars per group,
so that m = k*l, then there must be m labels, but the first k will
be the labels for each group and the rest must be arbitrary, except
that label m must be l*bars/group to indicate that there are l bars
in each of the k groups. 


    Example 7: kmeans.tf1 (various uses of begin{} ... end{}) 
   ----------------------------------------------------------

   When the begin{} ... end{} technique is used, the extra data
   can be placed anywhere in the trailer section.

Data for 5 variables on 20 soils (G03EFF, Kendall and Stuart)
20 5
77.3 13.0  9.7 1.5 6.4
82.5 10.0  7.5 1.5 6.5
66.9 20.6 12.5 2.3 7.0
47.2 33.8 19.0 2.8 5.8
65.3 20.5 14.2 1.9 6.9
83.3 10.0  6.7 2.2 7.0
81.6 12.7  5.7 2.9 6.7
47.8 36.5 15.7 2.3 7.2
48.6 37.1 14.3 2.1 7.2
61.6 25.5 12.9 1.9 7.3
58.6 26.5 14.9 2.4 6.7
69.3 22.3  8.4 4.0 7.0
61.8 30.8  7.4 2.7 6.4
67.7 25.3  7.0 4.8 7.3
57.2 31.2 11.6 2.4 6.5
67.2 22.7 10.1 3.3 6.2
59.2 31.2  9.6 2.4 6.0
80.2 13.2  6.6 2.0 5.8
82.2 11.1  6.7 2.2 7.2
69.7 20.7  9.6 3.1 5.9
39
Usage:
Select statistics, then run program simstat, choose
multivariate statistics, then go to K-means clustering

The next line defines the starting clusters for k = 3 
begin{values} <-- token to flag start of appended values
82.5 10.0  7.5 1.5 6.5
47.8 36.5 15.7 2.3 7.2
67.2 22.7 10.1 3.3 6.2
end{values}

The next line defines the variables as 1 = include, 0 = suppress
begin{indicators} <-- token to flag start of indicators
1 1 1 1
end{indicators}

The next line defines the row labels for plotting
begin{labels} <-- token to flag start of row labels
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
end{labels}

   Example 8: gauss3.tf1 (adding starting estimates and parameter limits)
   ----------------------------------------------------------------------

   The advanced curve-fitting program qnfit must have starting estimates
   and parameter limits to use in expert mode model fitting, and this 
   example shows how this is done using begin{limits} ... end{limits}
   Each limit triple  must be in nondecreasing order, i.e.

   [botom limit] =< [starting estimate] =< [upper limit]   

QNFIT EXPERT mode file: 3 Gaussians plus 7.5% relative error
   150     3
 -3.0000E+00,  4.1947E-03,  8.5276E-04
 -3.0000E+00,  5.8990E-03,  8.5276E-04
 -3.0000E+00,  4.9928E-03,  8.5276E-04
 -2.6330E+00,  1.3290E-02,  1.0403E-03
 -2.6330E+00,  1.3199E-02,  1.0403E-03
 -2.6330E+00,  1.5045E-02,  1.0403E-03
 -2.2650E+00,  3.1063E-02,  3.1741E-04
 -2.2650E+00,  3.1609E-02,  3.1741E-04
 -2.2650E+00,  3.1055E-02,  3.1741E-04
 -1.8980E+00,  8.2288E-02,  8.4020E-03
 -1.8980E+00,  6.9949E-02,  8.4020E-03
 -1.8980E+00,  6.6239E-02,  8.4020E-03
 -1.5310E+00,  1.2313E-01,  4.0206E-03
 -1.5310E+00,  1.2883E-01,  4.0206E-03
 -1.5310E+00,  1.3088E-01,  4.0206E-03
 -1.1630E+00,  1.9423E-01,  1.7238E-02
 -1.1630E+00,  1.9266E-01,  1.7238E-02
 -1.1630E+00,  2.2327E-01,  1.7238E-02
 -7.9590E-01,  3.2511E-01,  1.4216E-02
 -7.9590E-01,  2.9831E-01,  1.4216E-02
 -7.9590E-01,  3.0349E-01,  1.4216E-02
 -4.2860E-01,  3.6384E-01,  2.9124E-02
 -4.2860E-01,  3.9767E-01,  2.9124E-02
 -4.2860E-01,  3.3970E-01,  2.9124E-02
 -6.1220E-02,  4.6741E-01,  3.1167E-02
 -6.1220E-02,  4.1063E-01,  3.1167E-02
 -6.1220E-02,  4.6130E-01,  3.1167E-02
  3.0610E-01,  4.5580E-01,  3.4742E-02
  3.0610E-01,  4.1705E-01,  3.4742E-02
  3.0610E-01,  4.8637E-01,  3.4742E-02
  6.7350E-01,  3.9345E-01,  1.6602E-02
  6.7350E-01,  3.6028E-01,  1.6602E-02
  6.7350E-01,  3.7555E-01,  1.6602E-02
  1.0410E+00,  3.2355E-01,  1.2642E-02
  1.0410E+00,  3.1834E-01,  1.2642E-02
  1.0410E+00,  2.9952E-01,  1.2642E-02
  1.4080E+00,  2.6228E-01,  1.5454E-02
  1.4080E+00,  2.4961E-01,  1.5454E-02
  1.4080E+00,  2.3153E-01,  1.5454E-02
  1.7760E+00,  1.6712E-01,  1.0699E-02
  1.7760E+00,  1.6728E-01,  1.0699E-02
  1.7760E+00,  1.8573E-01,  1.0699E-02
  2.1430E+00,  1.7570E-01,  3.4915E-03
  2.1430E+00,  1.6892E-01,  3.4915E-03
  2.1430E+00,  1.7376E-01,  3.4915E-03
  2.5100E+00,  1.4240E-01,  3.1568E-02
  2.5100E+00,  2.0077E-01,  3.1568E-02
  2.5100E+00,  1.9243E-01,  3.1568E-02
  2.8780E+00,  1.6364E-01,  1.0632E-02
  2.8780E+00,  1.6989E-01,  1.0632E-02
  2.8780E+00,  1.8437E-01,  1.0632E-02
  3.2450E+00,  2.0212E-01,  9.4979E-04
  3.2450E+00,  2.0032E-01,  9.4979E-04
  3.2450E+00,  2.0069E-01,  9.4979E-04
  3.6120E+00,  1.8901E-01,  2.2536E-02
  3.6120E+00,  2.0251E-01,  2.2536E-02
  3.6120E+00,  2.3301E-01,  2.2536E-02
  3.9800E+00,  2.1855E-01,  3.8219E-03
  3.9800E+00,  2.1280E-01,  3.8219E-03
  3.9800E+00,  2.1132E-01,  3.8219E-03
  4.3470E+00,  1.9791E-01,  1.9212E-03
  4.3470E+00,  1.9770E-01,  1.9212E-03
  4.3470E+00,  2.0113E-01,  1.9212E-03
  4.7140E+00,  2.1427E-01,  9.8213E-03
  4.7140E+00,  2.0190E-01,  9.8213E-03
  4.7140E+00,  2.2130E-01,  9.8213E-03
  5.0820E+00,  1.8346E-01,  1.6379E-02
  5.0820E+00,  2.1539E-01,  1.6379E-02
  5.0820E+00,  1.9311E-01,  1.6379E-02
  5.4490E+00,  1.9558E-01,  1.6043E-02
  5.4490E+00,  2.1044E-01,  1.6043E-02
  5.4490E+00,  1.7838E-01,  1.6043E-02
  5.8160E+00,  1.8094E-01,  7.4652E-03
  5.8160E+00,  1.7917E-01,  7.4652E-03
  5.8160E+00,  1.9289E-01,  7.4652E-03
  6.1840E+00,  1.6406E-01,  1.0211E-02
  6.1840E+00,  1.5742E-01,  1.0211E-02
  6.1840E+00,  1.7746E-01,  1.0211E-02
  6.5510E+00,  1.8016E-01,  1.6864E-02
  6.5510E+00,  1.4821E-01,  1.6864E-02
  6.5510E+00,  1.7355E-01,  1.6864E-02
  6.9180E+00,  1.3982E-01,  9.1377E-03
  6.9180E+00,  1.4277E-01,  9.1377E-03
  6.9180E+00,  1.5691E-01,  9.1377E-03
  7.2860E+00,  1.4702E-01,  7.8945E-03
  7.2860E+00,  1.3205E-01,  7.8945E-03
  7.2860E+00,  1.4387E-01,  7.8945E-03
  7.6530E+00,  1.3118E-01,  1.3912E-02
  7.6530E+00,  1.4830E-01,  1.3912E-02
  7.6530E+00,  1.2074E-01,  1.3912E-02
  8.0200E+00,  1.0567E-01,  2.2940E-02
  8.0200E+00,  1.2250E-01,  2.2940E-02
  8.0200E+00,  1.5104E-01,  2.2940E-02
  8.3880E+00,  1.3849E-01,  1.3608E-02
  8.3880E+00,  1.4496E-01,  1.3608E-02
  8.3880E+00,  1.1883E-01,  1.3608E-02
  8.7550E+00,  1.3181E-01,  3.3890E-03
  8.7550E+00,  1.3416E-01,  3.3890E-03
  8.7550E+00,  1.2748E-01,  3.3890E-03
  9.1220E+00,  1.3711E-01,  6.8848E-03
  9.1220E+00,  1.5042E-01,  6.8848E-03
  9.1220E+00,  1.4682E-01,  6.8848E-03
  9.4900E+00,  1.4610E-01,  9.3790E-03
  9.4900E+00,  1.5125E-01,  9.3790E-03
  9.4900E+00,  1.3306E-01,  9.3790E-03
  9.8570E+00,  1.3342E-01,  4.2729E-03
  9.8570E+00,  1.3221E-01,  4.2729E-03
  9.8570E+00,  1.4014E-01,  4.2729E-03
  1.0220E+01,  1.5607E-01,  1.4500E-02
  1.0220E+01,  1.2714E-01,  1.4500E-02
  1.0220E+01,  1.3984E-01,  1.4500E-02
  1.0590E+01,  1.4321E-01,  1.0985E-02
  1.0590E+01,  1.3144E-01,  1.0985E-02
  1.0590E+01,  1.2126E-01,  1.0985E-02
  1.0960E+01,  1.2486E-01,  7.5713E-03
  1.0960E+01,  1.2493E-01,  7.5713E-03
  1.0960E+01,  1.3801E-01,  7.5713E-03
  1.1330E+01,  1.2544E-01,  2.7750E-03
  1.1330E+01,  1.1990E-01,  2.7750E-03
  1.1330E+01,  1.2307E-01,  2.7750E-03
  1.1690E+01,  1.2009E-01,  1.6870E-03
  1.1690E+01,  1.2128E-01,  1.6870E-03
  1.1690E+01,  1.1795E-01,  1.6870E-03
  1.2060E+01,  9.2229E-02,  1.0259E-02
  1.2060E+01,  1.1155E-01,  1.0259E-02
  1.2060E+01,  1.0786E-01,  1.0259E-02
  1.2430E+01,  1.0234E-01,  2.2571E-03
  1.2430E+01,  9.7954E-02,  2.2571E-03
  1.2430E+01,  1.0107E-01,  2.2571E-03
  1.2800E+01,  8.1205E-02,  3.5198E-03
  1.2800E+01,  8.6219E-02,  3.5198E-03
  1.2800E+01,  7.9433E-02,  3.5198E-03
  1.3160E+01,  6.3715E-02,  6.3837E-03
  1.3160E+01,  7.0432E-02,  6.3837E-03
  1.3160E+01,  7.6476E-02,  6.3837E-03
  1.3530E+01,  6.3990E-02,  6.1524E-03
  1.3530E+01,  5.8392E-02,  6.1524E-03
  1.3530E+01,  7.0680E-02,  6.1524E-03
  1.3900E+01,  5.7232E-02,  3.0206E-03
  1.3900E+01,  5.7865E-02,  3.0206E-03
  1.3900E+01,  5.2346E-02,  3.0206E-03
  1.4270E+01,  5.0277E-02,  3.0734E-03
  1.4270E+01,  4.6644E-02,  3.0734E-03
  1.4270E+01,  4.4167E-02,  3.0734E-03
  1.4630E+01,  3.9144E-02,  1.7401E-03
  1.4630E+01,  3.7181E-02,  1.7401E-03
  1.4630E+01,  4.0651E-02,  1.7401E-03
  1.5000E+01,  3.3475E-02,  2.4596E-03
  1.5000E+01,  3.4022E-02,  2.4596E-03
  1.5000E+01,  2.9515E-02,  2.4596E-03
    27
Data from program MAKDAT using the model:
Sum of n Gauss pdfs: Z = sqrt(2pi), C = p(3n+1)
[p(1)/Zp(2n+1)]exp{-0.5[(x - p(n+1))/p(2n+1)]^2} +
[p(2)/Zp(2n+2)]exp{-0.5[(x - p(n+2))/p(2n+2)]^2} +...+
[p(n)/Zp(3n)]exp{-0.5[(x - p(2n))/p(3n)]^2} + C
 p( 1) =  1.000E+00
 p( 2) =  1.000E+00
 p( 3) =  1.000E+00
 p( 4) =  0.000E+00
 p( 5) =  4.000E+00
 p( 6) =  1.000E+01
 p( 7) =  1.000E+00
 p( 8) =  2.000E+00
 p( 9) =  3.000E+00
 p(10) =  0.000E+00
begin{limits}
  0,  1,  2
  0,  1,  2
  0,  1,  2
 -2,  0,  2
  2,  4,  6
  8, 10, 12
0.1,  1,  2
  1,  2,  3
  2,  3,  4
  0,  0,  0
end{limits}

   Example 9: manova1.tf1 (adding group numbers in column 1)
   ---------------------------------------------------------

   The group identifiers must be integers in ascending order
   starting with 1.


MANOVA data: 2 groups, 5 variables (details at end of file)
 10 6
 1  11  18  15  18  15
 1  33  27  31  21  17
 1  20  28  27  23  19
 1  18  26  18  18   9
 1  22  23  22  16  10
 2  18  17  20  18  18
 2  31  24  31  26  20
 2  14  16  17  20  17
 2  25  24  31  26  18
 2  36  28  24  26  29
22
Data from Chatfield C and Collins A J
Introduction to multivariate analysis
Chapman and hall 1980 table 7.3
column 1 = group
columns 2 to 6 = variables 1 to 5
The next section defines variables to include (1) or exclude (0)
begin{indicators}
 1  1  1  1  1
end{indicators}
The next section defines labels to identify cases in plots
begin{labels}
1.1
1.2
1.3
1.4
1.5
2.1
2.2
2.3
2.4
2.5
end{labels}

   Example 10: surface.tf1 (plotting a 3D surface or contours)
   -----------------------------------------------------------

   This illustrates how to supply the z = f(x,y) data as a vector,
   but a matrix of values can also be used.


z = f(x,y) data for SIMPLOT: surface with 4 peaks
  1606     1
  40
  40
  0.0000E+00
  1.0000E+00
  0.0000E+00
  1.0000E+00
  1.0552E-08
  4.7420E-08
  1.8635E-07
  6.4035E-07
  1.9242E-06
  5.0560E-06
  1.1617E-05
  2.3342E-05
  4.1012E-05
  6.3014E-05
  8.4674E-05
  9.9520E-05
  1.0235E-04
  9.2195E-05
  7.2940E-05
  5.1098E-05
  3.2497E-05
  2.0163E-05
  1.4297E-05
  1.3535E-05
  1.6227E-05
  2.1066E-05
  2.7132E-05
  3.3696E-05
  4.0060E-05
  4.5520E-05
  4.9418E-05
  5.1256E-05
  5.0790E-05
  4.8082E-05
  4.3487E-05
  3.7576E-05
  3.1019E-05
  2.4464E-05
  1.8432E-05
  1.3268E-05
  9.1248E-06
  5.9951E-06
  3.7631E-06
  2.2567E-06
  4.7420E-08
  2.1310E-07
  8.3742E-07
  2.8777E-06
  8.6471E-06
  2.2721E-05
  5.2207E-05
  1.0490E-04
  1.8430E-04
  2.8318E-04
  3.8052E-04
  4.4723E-04
  4.5995E-04
  4.1431E-04
  3.2778E-04
  2.2963E-04
  1.4604E-04
  9.0609E-05
  6.4248E-05
  6.0823E-05
  7.2920E-05
  9.4669E-05
  1.2193E-04
  1.5143E-04
  1.8003E-04
  2.0456E-04
  2.2208E-04
  2.3034E-04
  2.2825E-04
  2.1608E-04
  1.9543E-04
  1.6886E-04
  1.3940E-04
  1.0994E-04
  8.2834E-05
  5.9627E-05
  4.1006E-05
  2.6942E-05
  1.6911E-05
  1.0141E-05
  1.8635E-07
  8.3742E-07
  3.2908E-06
  1.1308E-05
  3.3981E-05
  8.9288E-05
  2.0516E-04
  4.1221E-04
  7.2426E-04
  1.1128E-03
  1.4953E-03
  1.7575E-03
  1.8075E-03
  1.6281E-03
  1.2881E-03
  9.0239E-04
  5.7389E-04
  3.5607E-04
  2.5248E-04
  2.3902E-04
  2.8656E-04
  3.7202E-04
  4.7914E-04
  5.9506E-04
  7.0746E-04
  8.0387E-04
  8.7271E-04
  9.0517E-04
  8.9694E-04
  8.4912E-04
  7.6798E-04
  6.6358E-04
  5.4779E-04
  4.3202E-04
  3.2551E-04
  2.3432E-04
  1.6114E-04
  1.0587E-04
  6.6456E-05
  3.9852E-05
  6.4035E-07
  2.8777E-06
  1.1308E-05
  3.8860E-05
  1.1677E-04
  3.0682E-04
  7.0499E-04
  1.4165E-03
  2.4888E-03
  3.8240E-03
  5.1384E-03
  6.0394E-03
  6.2111E-03
  5.5948E-03
  4.4263E-03
  3.1009E-03
  1.9721E-03
  1.2236E-03
  8.6760E-04
  8.2135E-04
  9.8471E-04
  1.2784E-03
  1.6465E-03
  2.0448E-03
  2.4311E-03
  2.7624E-03
  2.9989E-03
  3.1105E-03
  3.0822E-03
  2.9179E-03
  2.6390E-03
  2.2803E-03
  1.8824E-03
  1.4846E-03
  1.1186E-03
  8.0519E-04
  5.5374E-04
  3.6382E-04
  2.2836E-04
  1.3695E-04
  1.9242E-06
  8.6471E-06
  3.3981E-05
  1.1677E-04
  3.5088E-04
  9.2197E-04
  2.1184E-03
  4.2564E-03
  7.4785E-03
  1.1491E-02
  1.5440E-02
  1.8148E-02
  1.8664E-02
  1.6812E-02
  1.3301E-02
  9.3179E-03
  5.9259E-03
  3.6767E-03
  2.6070E-03
  2.4681E-03
  2.9589E-03
  3.8414E-03
  4.9476E-03
  6.1445E-03
  7.3051E-03
  8.3006E-03
  9.0114E-03
  9.3466E-03
  9.2617E-03
  8.7679E-03
  7.9300E-03
  6.8521E-03
  5.6564E-03
  4.4610E-03
  3.3612E-03
  2.4195E-03
  1.6639E-03
  1.0932E-03
  6.8621E-04
  4.1151E-04
  5.0560E-06
  2.2721E-05
  8.9288E-05
  3.0682E-04
  9.2197E-04
  2.4226E-03
  5.5664E-03
  1.1184E-02
  1.9651E-02
  3.0193E-02
  4.0571E-02
  4.7685E-02
  4.9041E-02
  4.4175E-02
  3.4949E-02
  2.4484E-02
  1.5571E-02
  9.6610E-03
  6.8503E-03
  6.4851E-03
  7.7749E-03
  1.0094E-02
  1.3000E-02
  1.6145E-02
  1.9195E-02
  2.1811E-02
  2.3679E-02
  2.4559E-02
  2.4336E-02
  2.3039E-02
  2.0837E-02
  1.8005E-02
  1.4863E-02
  1.1722E-02
  8.8319E-03
  6.3575E-03
  4.3721E-03
  2.8726E-03
  1.8031E-03
  1.0813E-03
  1.1617E-05
  5.2207E-05
  2.0516E-04
  7.0499E-04
  2.1184E-03
  5.5664E-03
  1.2790E-02
  2.5698E-02
  4.5152E-02
  6.9375E-02
  9.3221E-02
  1.0957E-01
  1.1268E-01
  1.0150E-01
  8.0303E-02
  5.6257E-02
  3.5777E-02
  2.2198E-02
  1.5740E-02
  1.4901E-02
  1.7865E-02
  2.3193E-02
  2.9871E-02
  3.7097E-02
  4.4104E-02
  5.0115E-02
  5.4406E-02
  5.6430E-02
  5.5917E-02
  5.2936E-02
  4.7877E-02
  4.1369E-02
  3.4150E-02
  2.6933E-02
  2.0293E-02
  1.4608E-02
  1.0046E-02
  6.6003E-03
  4.1430E-03
  2.4845E-03
  2.3342E-05
  1.0490E-04
  4.1221E-04
  1.4165E-03
  4.2564E-03
  1.1184E-02
  2.5698E-02
  5.1633E-02
  9.0720E-02
  1.3939E-01
  1.8730E-01
  2.2015E-01
  2.2640E-01
  2.0394E-01
  1.6135E-01
  1.1303E-01
  7.1885E-02
  4.4601E-02
  3.1625E-02
  2.9939E-02
  3.5894E-02
  4.6599E-02
  6.0018E-02
  7.4537E-02
  8.8616E-02
  1.0069E-01
  1.0932E-01
  1.1338E-01
  1.1235E-01
  1.0636E-01
  9.6197E-02
  8.3121E-02
  6.8616E-02
  5.4115E-02
  4.0774E-02
  2.9351E-02
  2.0185E-02
  1.3262E-02
  8.3243E-03
  4.9919E-03
  4.1012E-05
  1.8430E-04
  7.2426E-04
  2.4888E-03
  7.4785E-03
  1.9651E-02
  4.5152E-02
  9.0720E-02
  1.5940E-01
  2.4491E-01
  3.2909E-01
  3.8680E-01
  3.9780E-01
  3.5832E-01
  2.8349E-01
  1.9860E-01
  1.2630E-01
  7.8365E-02
  5.5566E-02
  5.2604E-02
  6.3066E-02
  8.1875E-02
  1.0545E-01
  1.3096E-01
  1.5570E-01
  1.7692E-01
  1.9207E-01
  1.9921E-01
  1.9740E-01
  1.8688E-01
  1.6902E-01
  1.4604E-01
  1.2056E-01
  9.5081E-02
  7.1640E-02
  5.1569E-02
  3.5465E-02
  2.3301E-02
  1.4626E-02
  8.7708E-03
  6.3014E-05
  2.8318E-04
  1.1128E-03
  3.8240E-03
  1.1491E-02
  3.0193E-02
  6.9375E-02
  1.3939E-01
  2.4491E-01
  3.7630E-01
  5.0565E-01
  5.9431E-01
  6.1121E-01
  5.5056E-01
  4.3558E-01
  3.0515E-01
  1.9406E-01
  1.2041E-01
  8.5376E-02
  8.0825E-02
  9.6901E-02
  1.2580E-01
  1.6202E-01
  2.0122E-01
  2.3923E-01
  2.7183E-01
  2.9511E-01
  3.0609E-01
  3.0331E-01
  2.8713E-01
  2.5969E-01
  2.2439E-01
  1.8524E-01
  1.4609E-01
  1.1007E-01
  7.9235E-02
  5.4491E-02
  3.5801E-02
  2.2472E-02
  1.3476E-02
  8.4674E-05
  3.8052E-04
  1.4953E-03
  5.1384E-03
  1.5440E-02
  4.0571E-02
  9.3221E-02
  1.8730E-01
  3.2909E-01
  5.0565E-01
  6.7946E-01
  7.9859E-01
  8.2130E-01
  7.3981E-01
  5.8530E-01
  4.1004E-01
  2.6077E-01
  1.6179E-01
  1.1472E-01
  1.0861E-01
  1.3021E-01
  1.6904E-01
  2.1772E-01
  2.7039E-01
  3.2146E-01
  3.6527E-01
  3.9655E-01
  4.1130E-01
  4.0756E-01
  3.8583E-01
  3.4896E-01
  3.0153E-01
  2.4891E-01
  1.9631E-01
  1.4791E-01
  1.0647E-01
  7.3221E-02
  4.8108E-02
  3.0197E-02
  1.8108E-02
  9.9520E-05
  4.4723E-04
  1.7575E-03
  6.0394E-03
  1.8148E-02
  4.7685E-02
  1.0957E-01
  2.2015E-01
  3.8680E-01
  5.9431E-01
  7.9859E-01
  9.3862E-01
  9.6530E-01
  8.6952E-01
  6.8792E-01
  4.8193E-01
  3.0649E-01
  1.9016E-01
  1.3484E-01
  1.2765E-01
  1.5304E-01
  1.9868E-01
  2.5589E-01
  3.1780E-01
  3.7783E-01
  4.2931E-01
  4.6608E-01
  4.8342E-01
  4.7902E-01
  4.5348E-01
  4.1015E-01
  3.5439E-01
  2.9255E-01
  2.3073E-01
  1.7384E-01
  1.2514E-01
  8.6060E-02
  5.6543E-02
  3.5491E-02
  2.1284E-02
  1.0235E-04
  4.5995E-04
  1.8075E-03
  6.2111E-03
  1.8664E-02
  4.9041E-02
  1.1268E-01
  2.2640E-01
  3.9779E-01
  6.1121E-01
  8.2130E-01
  9.6530E-01
  9.9275E-01
  8.9425E-01
  7.0748E-01
  4.9563E-01
  3.1521E-01
  1.9557E-01
  1.3867E-01
  1.3128E-01
  1.5739E-01
  2.0433E-01
  2.6317E-01
  3.2683E-01
  3.8857E-01
  4.4152E-01
  4.7933E-01
  4.9716E-01
  4.9264E-01
  4.6638E-01
  4.2181E-01
  3.6447E-01
  3.0087E-01
  2.3729E-01
  1.7879E-01
  1.2870E-01
  8.8507E-02
  5.8150E-02
  3.6501E-02
  2.1889E-02
  9.2195E-05
  4.1431E-04
  1.6281E-03
  5.5948E-03
  1.6812E-02
  4.4175E-02
  1.0150E-01
  2.0394E-01
  3.5833E-01
  5.5056E-01
  7.3981E-01
  8.6952E-01
  8.9425E-01
  8.0552E-01
  6.3729E-01
  4.4646E-01
  2.8393E-01
  1.7616E-01
  1.2491E-01
  1.1825E-01
  1.4177E-01
  1.8406E-01
  2.3706E-01
  2.9440E-01
  3.5001E-01
  3.9771E-01
  4.3177E-01
  4.4783E-01
  4.4376E-01
  4.2010E-01
  3.7996E-01
  3.2831E-01
  2.7102E-01
  2.1374E-01
  1.6105E-01
  1.1593E-01
  7.9725E-02
  5.2381E-02
  3.2879E-02
  1.9717E-02
  7.2940E-05
  3.2778E-04
  1.2881E-03
  4.4263E-03
  1.3301E-02
  3.4949E-02
  8.0303E-02
  1.6135E-01
  2.8349E-01
  4.3558E-01
  5.8530E-01
  6.8792E-01
  7.0748E-01
  6.3729E-01
  5.0419E-01
  3.5321E-01
  2.2463E-01
  1.3937E-01
  9.8825E-02
  9.3557E-02
  1.1216E-01
  1.4562E-01
  1.8755E-01
  2.3292E-01
  2.7691E-01
  3.1465E-01
  3.4160E-01
  3.5430E-01
  3.5108E-01
  3.3236E-01
  3.0060E-01
  2.5974E-01
  2.1442E-01
  1.6910E-01
  1.2741E-01
  9.1716E-02
  6.3074E-02
  4.1441E-02
  2.6012E-02
  1.5599E-02
  5.1098E-05
  2.2963E-04
  9.0239E-04
  3.1009E-03
  9.3179E-03
  2.4484E-02
  5.6257E-02
  1.1303E-01
  1.9860E-01
  3.0515E-01
  4.1004E-01
  4.8193E-01
  4.9563E-01
  4.4646E-01
  3.5321E-01
  2.4745E-01
  1.5737E-01
  9.7638E-02
  6.9232E-02
  6.5542E-02
  7.8577E-02
  1.0201E-01
  1.3139E-01
  1.6317E-01
  1.9399E-01
  2.2043E-01
  2.3931E-01
  2.4821E-01
  2.4595E-01
  2.3284E-01
  2.1059E-01
  1.8196E-01
  1.5021E-01
  1.1847E-01
  8.9260E-02
  6.4253E-02
  4.4187E-02
  2.9032E-02
  1.8223E-02
  1.0928E-02
  3.2497E-05
  1.4604E-04
  5.7389E-04
  1.9721E-03
  5.9259E-03
  1.5571E-02
  3.5777E-02
  7.1885E-02
  1.2630E-01
  1.9406E-01
  2.6077E-01
  3.0649E-01
  3.1521E-01
  2.8393E-01
  2.2463E-01
  1.5737E-01
  1.0008E-01
  6.2095E-02
  4.4029E-02
  4.1682E-02
  4.9973E-02
  6.4877E-02
  8.3558E-02
  1.0377E-01
  1.2337E-01
  1.4019E-01
  1.5219E-01
  1.5785E-01
  1.5642E-01
  1.4808E-01
  1.3393E-01
  1.1572E-01
  9.5529E-02
  7.5340E-02
  5.6766E-02
  4.0862E-02
  2.8102E-02
  1.8463E-02
  1.1589E-02
  6.9498E-03
  2.0163E-05
  9.0609E-05
  3.5607E-04
  1.2236E-03
  3.6767E-03
  9.6610E-03
  2.2198E-02
  4.4601E-02
  7.8365E-02
  1.2041E-01
  1.6179E-01
  1.9016E-01
  1.9557E-01
  1.7616E-01
  1.3937E-01
  9.7638E-02
  6.2095E-02
  3.8527E-02
  2.7318E-02
  2.5862E-02
  3.1005E-02
  4.0253E-02
  5.1843E-02
  6.4385E-02
  7.6547E-02
  8.6978E-02
  9.4427E-02
  9.7940E-02
  9.7049E-02
  9.1875E-02
  8.3095E-02
  7.1800E-02
  5.9271E-02
  4.6745E-02
  3.5221E-02
  2.5353E-02
  1.7436E-02
  1.1455E-02
  7.1905E-03
  4.3120E-03
  1.4297E-05
  6.4248E-05
  2.5248E-04
  8.6760E-04
  2.6070E-03
  6.8503E-03
  1.5740E-02
  3.1625E-02
  5.5566E-02
  8.5376E-02
  1.1472E-01
  1.3484E-01
  1.3867E-01
  1.2491E-01
  9.8825E-02
  6.9232E-02
  4.4029E-02
  2.7318E-02
  1.9370E-02
  1.8338E-02
  2.1985E-02
  2.8542E-02
  3.6761E-02
  4.5654E-02
  5.4277E-02
  6.1674E-02
  6.6955E-02
  6.9446E-02
  6.8815E-02
  6.5146E-02
  5.8920E-02
  5.0911E-02
  4.2027E-02
  3.3145E-02
  2.4974E-02
  1.7977E-02
  1.2363E-02
  8.1227E-03
  5.0986E-03
  3.0575E-03
  1.3535E-05
  6.0823E-05
  2.3902E-04
  8.2135E-04
  2.4681E-03
  6.4851E-03
  1.4901E-02
  2.9939E-02
  5.2604E-02
  8.0825E-02
  1.0861E-01
  1.2765E-01
  1.3128E-01
  1.1825E-01
  9.3557E-02
  6.5542E-02
  4.1682E-02
  2.5862E-02
  1.8338E-02
  1.7360E-02
  2.0813E-02
  2.7020E-02
  3.4801E-02
  4.3220E-02
  5.1384E-02
  5.8386E-02
  6.3386E-02
  6.5744E-02
  6.5146E-02
  6.1673E-02
  5.5779E-02
  4.8197E-02
  3.9787E-02
  3.1379E-02
  2.3643E-02
  1.7019E-02
  1.1704E-02
  7.6897E-03
  4.8268E-03
  2.8945E-03
  1.6227E-05
  7.2920E-05
  2.8656E-04
  9.8471E-04
  2.9589E-03
  7.7749E-03
  1.7865E-02
  3.5894E-02
  6.3066E-02
  9.6901E-02
  1.3021E-01
  1.5304E-01
  1.5739E-01
  1.4177E-01
  1.1216E-01
  7.8577E-02
  4.9973E-02
  3.1005E-02
  2.1985E-02
  2.0813E-02
  2.4953E-02
  3.2395E-02
  4.1723E-02
  5.1816E-02
  6.1603E-02
  6.9998E-02
  7.5993E-02
  7.8820E-02
  7.8103E-02
  7.3939E-02
  6.6873E-02
  5.7783E-02
  4.7700E-02
  3.7619E-02
  2.8345E-02
  2.0404E-02
  1.4032E-02
  9.2191E-03
  5.7868E-03
  3.4702E-03
  2.1066E-05
  9.4669E-05
  3.7202E-04
  1.2784E-03
  3.8414E-03
  1.0094E-02
  2.3193E-02
  4.6599E-02
  8.1875E-02
  1.2580E-01
  1.6904E-01
  1.9868E-01
  2.0433E-01
  1.8406E-01
  1.4562E-01
  1.0201E-01
  6.4877E-02
  4.0253E-02
  2.8542E-02
  2.7020E-02
  3.2395E-02
  4.2056E-02
  5.4166E-02
  6.7270E-02
  7.9976E-02
  9.0875E-02
  9.8658E-02
  1.0233E-01
  1.0140E-01
  9.5991E-02
  8.6818E-02
  7.5017E-02
  6.1927E-02
  4.8839E-02
  3.6799E-02
  2.6489E-02
  1.8217E-02
  1.1969E-02
  7.5127E-03
  4.5052E-03
  2.7132E-05
  1.2193E-04
  4.7914E-04
  1.6465E-03
  4.9476E-03
  1.3000E-02
  2.9871E-02
  6.0018E-02
  1.0545E-01
  1.6202E-01
  2.1772E-01
  2.5589E-01
  2.6317E-01
  2.3706E-01
  1.8755E-01
  1.3139E-01
  8.3558E-02
  5.1843E-02
  3.6761E-02
  3.4801E-02
  4.1723E-02
  5.4166E-02
  6.9763E-02
  8.6640E-02
  1.0301E-01
  1.1704E-01
  1.2707E-01
  1.3179E-01
  1.3059E-01
  1.2363E-01
  1.1182E-01
  9.6617E-02
  7.9758E-02
  6.2902E-02
  4.7395E-02
  3.4116E-02
  2.3462E-02
  1.5415E-02
  9.6759E-03
  5.8025E-03
  3.3696E-05
  1.5143E-04
  5.9506E-04
  2.0448E-03
  6.1445E-03
  1.6145E-02
  3.7097E-02
  7.4537E-02
  1.3096E-01
  2.0122E-01
  2.7039E-01
  3.1780E-01
  3.2683E-01
  2.9440E-01
  2.3292E-01
  1.6317E-01
  1.0377E-01
  6.4385E-02
  4.5654E-02
  4.3220E-02
  5.1816E-02
  6.7270E-02
  8.6640E-02
  1.0760E-01
  1.2792E-01
  1.4536E-01
  1.5781E-01
  1.6368E-01
  1.6219E-01
  1.5354E-01
  1.3887E-01
  1.1999E-01
  9.9053E-02
  7.8120E-02
  5.8860E-02
  4.2370E-02
  2.9138E-02
  1.9144E-02
  1.2017E-02
  7.2062E-03
  4.0060E-05
  1.8003E-04
  7.0746E-04
  2.4311E-03
  7.3051E-03
  1.9195E-02
  4.4104E-02
  8.8616E-02
  1.5570E-01
  2.3923E-01
  3.2146E-01
  3.7783E-01
  3.8857E-01
  3.5001E-01
  2.7691E-01
  1.9399E-01
  1.2337E-01
  7.6547E-02
  5.4277E-02
  5.1384E-02
  6.1603E-02
  7.9976E-02
  1.0301E-01
  1.2792E-01
  1.5209E-01
  1.7281E-01
  1.8761E-01
  1.9459E-01
  1.9282E-01
  1.8254E-01
  1.6510E-01
  1.4266E-01
  1.1776E-01
  9.2875E-02
  6.9978E-02
  5.0373E-02
  3.4642E-02
  2.2760E-02
  1.4287E-02
  8.5673E-03
  4.5520E-05
  2.0456E-04
  8.0387E-04
  2.7624E-03
  8.3006E-03
  2.1811E-02
  5.0115E-02
  1.0069E-01
  1.7692E-01
  2.7183E-01
  3.6527E-01
  4.2931E-01
  4.4152E-01
  3.9771E-01
  3.1465E-01
  2.2043E-01
  1.4019E-01
  8.6978E-02
  6.1674E-02
  5.8386E-02
  6.9998E-02
  9.0875E-02
  1.1704E-01
  1.4536E-01
  1.7281E-01
  1.9636E-01
  2.1318E-01
  2.2111E-01
  2.1910E-01
  2.0742E-01
  1.8760E-01
  1.6210E-01
  1.3381E-01
  1.0553E-01
  7.9515E-02
  5.7237E-02
  3.9363E-02
  2.5862E-02
  1.6233E-02
  9.7349E-03
  4.9418E-05
  2.2208E-04
  8.7271E-04
  2.9989E-03
  9.0114E-03
  2.3679E-02
  5.4406E-02
  1.0932E-01
  1.9207E-01
  2.9511E-01
  3.9655E-01
  4.6608E-01
  4.7933E-01
  4.3177E-01
  3.4160E-01
  2.3931E-01
  1.5219E-01
  9.4427E-02
  6.6955E-02
  6.3386E-02
  7.5993E-02
  9.8658E-02
  1.2707E-01
  1.5781E-01
  1.8761E-01
  2.1318E-01
  2.3144E-01
  2.4005E-01
  2.3786E-01
  2.2518E-01
  2.0366E-01
  1.7598E-01
  1.4527E-01
  1.1457E-01
  8.6324E-02
  6.2139E-02
  4.2734E-02
  2.8077E-02
  1.7624E-02
  1.0569E-02
  5.1256E-05
  2.3034E-04
  9.0517E-04
  3.1105E-03
  9.3466E-03
  2.4559E-02
  5.6430E-02
  1.1338E-01
  1.9921E-01
  3.0609E-01
  4.1130E-01
  4.8342E-01
  4.9716E-01
  4.4783E-01
  3.5430E-01
  2.4821E-01
  1.5785E-01
  9.7940E-02
  6.9446E-02
  6.5744E-02
  7.8820E-02
  1.0233E-01
  1.3179E-01
  1.6368E-01
  1.9459E-01
  2.2111E-01
  2.4005E-01
  2.4897E-01
  2.4671E-01
  2.3356E-01
  2.1124E-01
  1.8252E-01
  1.5067E-01
  1.1883E-01
  8.9535E-02
  6.4451E-02
  4.4323E-02
  2.9121E-02
  1.8279E-02
  1.0962E-02
  5.0790E-05
  2.2825E-04
  8.9694E-04
  3.0822E-03
  9.2617E-03
  2.4336E-02
  5.5917E-02
  1.1235E-01
  1.9740E-01
  3.0331E-01
  4.0756E-01
  4.7902E-01
  4.9264E-01
  4.4376E-01
  3.5108E-01
  2.4595E-01
  1.5642E-01
  9.7049E-02
  6.8815E-02
  6.5146E-02
  7.8103E-02
  1.0140E-01
  1.3059E-01
  1.6219E-01
  1.9282E-01
  2.1910E-01
  2.3786E-01
  2.4671E-01
  2.4447E-01
  2.3144E-01
  2.0932E-01
  1.8087E-01
  1.4931E-01
  1.1775E-01
  8.8721E-02
  6.3865E-02
  4.3921E-02
  2.8857E-02
  1.8113E-02
  1.0862E-02
  4.8082E-05
  2.1608E-04
  8.4912E-04
  2.9179E-03
  8.7679E-03
  2.3039E-02
  5.2936E-02
  1.0636E-01
  1.8688E-01
  2.8713E-01
  3.8583E-01
  4.5348E-01
  4.6638E-01
  4.2010E-01
  3.3236E-01
  2.3284E-01
  1.4808E-01
  9.1875E-02
  6.5146E-02
  6.1673E-02
  7.3939E-02
  9.5991E-02
  1.2363E-01
  1.5354E-01
  1.8254E-01
  2.0742E-01
  2.2518E-01
  2.3356E-01
  2.3144E-01
  2.1910E-01
  1.9816E-01
  1.7122E-01
  1.4134E-01
  1.1147E-01
  8.3991E-02
  6.0460E-02
  4.1579E-02
  2.7318E-02
  1.7147E-02
  1.0283E-02
  4.3487E-05
  1.9543E-04
  7.6798E-04
  2.6390E-03
  7.9300E-03
  2.0837E-02
  4.7877E-02
  9.6197E-02
  1.6902E-01
  2.5969E-01
  3.4896E-01
  4.1015E-01
  4.2181E-01
  3.7996E-01
  3.0060E-01
  2.1059E-01
  1.3393E-01
  8.3095E-02
  5.8920E-02
  5.5779E-02
  6.6873E-02
  8.6818E-02
  1.1182E-01
  1.3887E-01
  1.6510E-01
  1.8760E-01
  2.0366E-01
  2.1124E-01
  2.0932E-01
  1.9816E-01
  1.7922E-01
  1.5486E-01
  1.2784E-01
  1.0082E-01
  7.5965E-02
  5.4682E-02
  3.7605E-02
  2.4707E-02
  1.5509E-02
  9.3002E-03
  3.7576E-05
  1.6886E-04
  6.6358E-04
  2.2803E-03
  6.8521E-03
  1.8005E-02
  4.1369E-02
  8.3121E-02
  1.4604E-01
  2.2439E-01
  3.0153E-01
  3.5439E-01
  3.6447E-01
  3.2831E-01
  2.5974E-01
  1.8196E-01
  1.1572E-01
  7.1800E-02
  5.0911E-02
  4.8197E-02
  5.7783E-02
  7.5017E-02
  9.6617E-02
  1.1999E-01
  1.4266E-01
  1.6210E-01
  1.7598E-01
  1.8252E-01
  1.8087E-01
  1.7122E-01
  1.5486E-01
  1.3381E-01
  1.1046E-01
  8.7116E-02
  6.5639E-02
  4.7249E-02
  3.2494E-02
  2.1349E-02
  1.3401E-02
  8.0360E-03
  3.1019E-05
  1.3940E-04
  5.4779E-04
  1.8824E-03
  5.6564E-03
  1.4863E-02
  3.4150E-02
  6.8616E-02
  1.2056E-01
  1.8524E-01
  2.4891E-01
  2.9255E-01
  3.0087E-01
  2.7102E-01
  2.1442E-01
  1.5021E-01
  9.5529E-02
  5.9271E-02
  4.2027E-02
  3.9787E-02
  4.7700E-02
  6.1927E-02
  7.9758E-02
  9.9053E-02
  1.1776E-01
  1.3381E-01
  1.4527E-01
  1.5067E-01
  1.4931E-01
  1.4134E-01
  1.2784E-01
  1.1046E-01
  9.1185E-02
  7.1915E-02
  5.4185E-02
  3.9004E-02
  2.6824E-02
  1.7624E-02
  1.1062E-02
  6.6338E-03
  2.4464E-05
  1.0994E-04
  4.3202E-04
  1.4846E-03
  4.4610E-03
  1.1722E-02
  2.6933E-02
  5.4115E-02
  9.5081E-02
  1.4609E-01
  1.9631E-01
  2.3073E-01
  2.3729E-01
  2.1374E-01
  1.6910E-01
  1.1847E-01
  7.5340E-02
  4.6745E-02
  3.3145E-02
  3.1379E-02
  3.7619E-02
  4.8839E-02
  6.2902E-02
  7.8120E-02
  9.2875E-02
  1.0553E-01
  1.1457E-01
  1.1883E-01
  1.1775E-01
  1.1147E-01
  1.0082E-01
  8.7116E-02
  7.1915E-02
  5.6716E-02
  4.2734E-02
  3.0761E-02
  2.1155E-02
  1.3899E-02
  8.7244E-03
  5.2318E-03
  1.8432E-05
  8.2834E-05
  3.2551E-04
  1.1186E-03
  3.3612E-03
  8.8319E-03
  2.0293E-02
  4.0774E-02
  7.1640E-02
  1.1007E-01
  1.4791E-01
  1.7384E-01
  1.7879E-01
  1.6105E-01
  1.2741E-01
  8.9260E-02
  5.6766E-02
  3.5221E-02
  2.4974E-02
  2.3643E-02
  2.8345E-02
  3.6799E-02
  4.7395E-02
  5.8860E-02
  6.9978E-02
  7.9515E-02
  8.6324E-02
  8.9535E-02
  8.8721E-02
  8.3991E-02
  7.5965E-02
  6.5639E-02
  5.4185E-02
  4.2734E-02
  3.2198E-02
  2.3178E-02
  1.5939E-02
  1.0472E-02
  6.5735E-03
  3.9420E-03
  1.3268E-05
  5.9627E-05
  2.3432E-04
  8.0519E-04
  2.4195E-03
  6.3575E-03
  1.4608E-02
  2.9351E-02
  5.1569E-02
  7.9235E-02
  1.0647E-01
  1.2514E-01
  1.2870E-01
  1.1593E-01
  9.1716E-02
  6.4253E-02
  4.0862E-02
  2.5353E-02
  1.7977E-02
  1.7019E-02
  2.0404E-02
  2.6489E-02
  3.4116E-02
  4.2370E-02
  5.0373E-02
  5.7237E-02
  6.2139E-02
  6.4451E-02
  6.3865E-02
  6.0460E-02
  5.4682E-02
  4.7249E-02
  3.9004E-02
  3.0761E-02
  2.3178E-02
  1.6684E-02
  1.1474E-02
  7.5385E-03
  4.7318E-03
  2.8376E-03
  9.1248E-06
  4.1006E-05
  1.6114E-04
  5.5374E-04
  1.6639E-03
  4.3721E-03
  1.0046E-02
  2.0185E-02
  3.5465E-02
  5.4491E-02
  7.3221E-02
  8.6060E-02
  8.8507E-02
  7.9725E-02
  6.3074E-02
  4.4187E-02
  2.8102E-02
  1.7436E-02
  1.2363E-02
  1.1704E-02
  1.4032E-02
  1.8217E-02
  2.3462E-02
  2.9138E-02
  3.4642E-02
  3.9363E-02
  4.2734E-02
  4.4323E-02
  4.3921E-02
  4.1579E-02
  3.7605E-02
  3.2494E-02
  2.6824E-02
  2.1155E-02
  1.5939E-02
  1.1474E-02
  7.8906E-03
  5.1843E-03
  3.2541E-03
  1.9514E-03
  5.9951E-06
  2.6942E-05
  1.0587E-04
  3.6382E-04
  1.0932E-03
  2.8726E-03
  6.6003E-03
  1.3262E-02
  2.3301E-02
  3.5801E-02
  4.8108E-02
  5.6543E-02
  5.8150E-02
  5.2381E-02
  4.1441E-02
  2.9032E-02
  1.8463E-02
  1.1455E-02
  8.1227E-03
  7.6897E-03
  9.2191E-03
  1.1969E-02
  1.5415E-02
  1.9144E-02
  2.2760E-02
  2.5862E-02
  2.8077E-02
  2.9121E-02
  2.8857E-02
  2.7318E-02
  2.4707E-02
  2.1349E-02
  1.7624E-02
  1.3899E-02
  1.0472E-02
  7.5385E-03
  5.1843E-03
  3.4062E-03
  2.1380E-03
  1.2821E-03
  3.7631E-06
  1.6911E-05
  6.6456E-05
  2.2836E-04
  6.8621E-04
  1.8031E-03
  4.1430E-03
  8.3243E-03
  1.4626E-02
  2.2472E-02
  3.0197E-02
  3.5491E-02
  3.6501E-02
  3.2879E-02
  2.6012E-02
  1.8223E-02
  1.1589E-02
  7.1905E-03
  5.0986E-03
  4.8268E-03
  5.7868E-03
  7.5127E-03
  9.6759E-03
  1.2017E-02
  1.4287E-02
  1.6233E-02
  1.7624E-02
  1.8279E-02
  1.8113E-02
  1.7147E-02
  1.5509E-02
  1.3401E-02
  1.1062E-02
  8.7244E-03
  6.5735E-03
  4.7318E-03
  3.2541E-03
  2.1380E-03
  1.3420E-03
  8.0478E-04
  2.2567E-06
  1.0141E-05
  3.9852E-05
  1.3695E-04
  4.1151E-04
  1.0813E-03
  2.4845E-03
  4.9919E-03
  8.7708E-03
  1.3476E-02
  1.8108E-02
  2.1284E-02
  2.1889E-02
  1.9717E-02
  1.5599E-02
  1.0928E-02
  6.9498E-03
  4.3120E-03
  3.0575E-03
  2.8945E-03
  3.4702E-03
  4.5052E-03
  5.8025E-03
  7.2062E-03
  8.5673E-03
  9.7349E-03
  1.0569E-02
  1.0962E-02
  1.0862E-02
  1.0283E-02
  9.3002E-03
  8.0360E-03
  6.6338E-03
  5.2318E-03
  3.9420E-03
  2.8376E-03
  1.9514E-03
  1.2821E-03
  8.0478E-04
  4.8261E-04
     13
The format for z(x,y) expressed as a vector to plot a surface, 
contours, or a 3D barchart, assuming regular grid intervals. 
Line 1 = title
Line 2 = no. of rows,  no. of columns
Line 3 = NX, no. of X-divisions
Line 4 = NY, no. of Y-divisions 
Line 5 = X-start
Line 6 = X-end
Line 7 = Y-start
Line 8 = Y-end
Next NX*NY lines are values for z = f(x,y) stored with  
successive values for y = y(1) and x = x(1), ..., x(NX),
then y = y(2) and x = x(1), ..., x(NX), etc. 


   Example 11: images.tfl (library file)
   -------------------------------------

 This is a technique for collecting together files of similar type
 that are required by Simfit, it is a more powerful method than multiple
 file selection because, if the library file has been created by
 program Maklib, it will be certain that all the files exist and
 are of a consistent type. This file can be used by program editps
 to create a collage of images, but note that, in general fullly
 qualified path/filenames must be supplied, not just local file
 names.

Example of a EPS type library file 
waves.eps
rosenbrock.eps
dendrogram.eps
trinom.eps
ukmap.eps
diffusion.eps
rose.eps
gauss3.eps
convolution.eps

Information about Simfit library files:
=======================================
1) Line 1 is an arbitrary title for the library file.
2) Lines  2 to  n + 1 are names of n files grouped together by the
   library file for plotting, statistics, curve-fitting, etc.
3) The first blank line is taken to be the end of the library file
   and everything after the first blank line is ignored.
4) Library file are usually only valid if all n files specified do exist 
5) However, library files analysed by some Simfit programs (e.g. qnfit 
   and deqsol) can have % to indicate a missing data set.
6) This is a Simfit test file so local names are given for the
   Simfit test files grouped together for analysis. 
   Your own library files must have fully qualified file names
   i.e. path plus filename as in:

   C:\mydata\mydata.one 
   C:\mydata\mydata.two
   C:\mydata\mydata.three

   and not just local unqualified filenames as in

   mydata.one  
   mydata.two
   mydata.three   

