Let
![]()
represent the data matrix for the ith subject of r observations on n stimuli. We assume there are M such matrices.
Let D(i) = (d(i)jk)represent the matrix of interpoint distances
between the pair of points j and k for the ith subject. Let
_ _represent the matrix of interpoint distances for the
D = (djk)
average subject.
If the data are standardized, let
![]()
represent the data matrix for the ith subject. This is computed simply by the formula
(zijt) = ((xijt) - (xit) ) / sit
where xit and sit are respectively, the mean and standard deviation for the tth variable of the ith subject. With no standardization the distance dijk is given by the formula:
![]()
In the case of standardization, the z values take the place of x values. The distance, djk, for the average subject is computed by the formula:
![]()
LINE 1: PARAMETER LINE: N,M,STNDD,ITRAN,NUMGEN,IW,ITM (FREE FORMAT)
1.LINE 2: INPUT DATA FORMAT (UP TO 80 COLUMNS IN F FORMAT)
LINE 3:FORMAT FOR WEIGHTS, OR IF WEIGHTS ARE NOT USED, LINE 3 ONWARDS IS THE DATA LIST.
1. The raw data including the means and standard deviations.
2. Standardized data coordinates. (When appropriate).
3. Transpose of input data matrix when requested.
4. The standardized (or non-standardized) interpoint distances in half matrix form.
5. The mean interpoint distance of the standardized configuration.
6. Matrix of average distances when ITM greater than 1.
NOTES1. This discussion of Distran is taken from P. E. Green and V. R. Rao Applied Multidimensional Scaling, Dryden Press (1972), pp. 187.
8 2 1 0 0 2 (3X, 2F2.0) 001 2 3 002 4 2 003 2 1 004 7 2 005 1 3 006 3 1 007 1 5 008 2 5 001 1 2 002 4 5 003 4 1 004 1 3 005 2 3 006 2 1 007 1 6 008 1 2
SAMPLE DISTRAN OUTPUT
DISTRAN
DISTANCE TRANSPOSE STANDARDIZATION
WRITTEN BY F. J. CARMONE JR.
PC-MDS VERSION
ANALYSIS TITLE: DISTRAN TEST DATA
DATA IS READ FROM FILE: DISTRAN.DAT
OUTPUT PRINT FILE IS: TEST.PRN
FINAL OUTPUT DATA FILE IS: TEST.DAT
NUMBER OF ROWS(POINTS) = 8
NUMBER OF COLUMNS(DIMENSIONS) = 2
(3X, 2F2.0)
WEIGHTS
1.00 1.00
RAW DATA--MEANS--STD DEVIATIONS
1 2
1 .200E+01 .300E+01
2 .400E+01 .200E+01
3 .200E+01 .100E+01
4 .700E+01 .200E+01
5 .100E+01 .300E+01
6 .300E+01 .100E+01
7 .100E+01 .500E+01
8 .200E+01 .500E+01
MEANS
.275E+01 .275E+01
STD DEVIATIONS
.185E+01 .148E+01
STANDARDIZED DATA POINTS
1 2
1-.405E+00 .169E+00
2 .674E+00-.507E+00
3-.405E+00-.118E+01
4 .229E+01-.507E+00
5-.944E+00 .169E+00
6 .135E+00-.118E+01
7-.944E+00 .152E+01
8-.405E+00 .152E+01
STANDARDIZED INTERPOINT DISTANCES
1 2 3 4 5 6 7 8
2 .13E+01
3 .14E+01 .13E+01
4 .28E+01 .16E+01 .28E+01
5 .54E+00 .18E+01 .15E+01 .33E+01
6 .15E+01 .86E+00 .54E+00 .23E+01 .17E+01
7 .15E+01 .26E+01 .28E+01 .38E+01 .14E+01 .29E+01
8 .14E+01 .23E+01 .27E+01 .34E+01 .15E+01 .28E+01 .54E+00
MEAN INTERPOINT DISTANCE = 1.941
RAW DATA--MEANS--STD DEVIATIONS
RAW DATA
1 2
1 .100E+01 .200E+01
2 .400E+01 .500E+01
3 .400E+01 .100E+01
4 .100E+01 .300E+01
5 .200E+01 .300E+01
6 .200E+01 .100E+01
7 .100E+01 .600E+01
8 .100E+01 .200E+01
MEANS
.200E+01 .288E+01
STD DEVIATIONS
.122E+01 .169E+01
STANDARDIZED DATA POINTS
1 2
1-.816E+00-.517E+00
2 .163E+01 .126E+01
3 .163E+01-.111E+01
4-.816E+00 .739E-01
5 .000E+00 .739E-01
6 .000E+00-.111E+01
7-.816E+00 .185E+01
8-.816E+00-.517E+00
STANDARDIZED INTERPOINT DISTANCES
1 2 3 4 5 6 7 8
2 .30E+01
3 .25E+01 .24E+01
4 .59E+00 .27E+01 .27E+01
5 .10E+01 .20E+01 .20E+01 .82E+00
6 .10E+01 .29E+01 .16E+01 .14E+01 .12E+01
7 .24E+01 .25E+01 .38E+01 .18E+01 .20E+01 .31E+01
8 .00E+00 .30E+01 .25E+01 .59E+00 .10E+01 .10E+01 .24E+01
MEAN INTERPOINT DISTANCE = 1.928
DISTRAN TEST DATA
AVERAGE DISTANCES MATRIX
1 2 3 4 5 6 7 8
2 .21E+01
3 .19E+01 .18E+01
4 .17E+01 .22E+01 .28E+01
5 .77E+00 .19E+01 .17E+01 .21E+01
6 .12E+01 .19E+01 .11E+01 .18E+01 .15E+01
7 .19E+01 .26E+01 .33E+01 .28E+01 .17E+01 .30E+01
8 .68E+00 .27E+01 .26E+01 .20E+01 .12E+01 .19E+01 .15E+01