15.78.17  Examples 

     TD:X VALUES FROM 0 to 10 by 1
          creates a data set with 11 values for X 0,1,2,...10
     TD:X BINS FROM 0 to 10 N=10
          or ...
     TD:X FROM 0 to 10 by 1 BINS
          create a data set with 10 values for X 0.5,1.5....9.5
     TD:X FROM 0 to 20 BINS POINTS=1 TO 10
generates 1,3,5,...19 for Data points 1 to 10.
     TD:Y=2.0 POINT=5
data point number 5 is set to 2.0
     TD:DY =5
Sets all Y errors to +-5.
     TD:DX =.1 * X
          or ....
     TD:DX =.1 TIMES X
Sets all X errors to 1.  times the X value.
     TD:X = 1 PLUS X
          or ...
     TD:X = 1 + X
Adds 1.0 to all X values.
     TD:X = 1 + X ERROR=0.1
Adds  1.0  to  all  X  values  and  adds  0.1  in  quadrature  to  all DX. 
DX=SQRT(DX**2+(0.1)**2)
     TD:Y = DIVIDE 5
Both Y and DY are divided by 5.
     TD:Y =Y * 5 ERROR=0.1
The  Y  coordinate is multiplied by 5, and the DY is modified according to
the error.  DY=5*SQRT(DY**2+(0.1*Y/5)**2)
     TD:SET ORDER Y
     TD:1.5;  3.8;  9.7
     TD:X FROM 1 to 3
          or....
     TD:X FROM 1 BY 1
          is the same as:
     TD:1 1.5;  2 3.8;  3 9.7
     TD:DY SAMPLES=100
Each  DY  is  now  equal to SQRT(Y*(100-Y)/100).  This assumes that each Y
represents the number of sucesses out of a sample of 100.
     TD:Y=Y / V_SUM
Normalizes  the  data to the total sum over all data.  Note:  This may not
have the desired effect if you have more than 1 data  set.   To  normalize
only one data set:
     SET STATISTICS SET=2
     TD:Y=Y / V_SUM
Normalizes only data set 2.
     TD:Y="LOG(YV)"
Transforms  Y  by  taking  the  LOG  to base 10.  DY is likewise modified.
Y=LOG10(Y) and DY=ABS(LOG10(Y+DY)-LOG10(Y))