SURVO MM Help System (web edition)

CORRESP <data>,L
performs a correspondence analysis on a table (of frequencies) saved
as a Survo data set. The rows are the active observations (chosen by
IND, CASES, and SELECT specifications) and the columns are the variables
activated by `A's.

The extent of results is determined by activating more variables by
other mask characters. For example, the row coordinates are saved
in variables activated by `C's. The corresponding column coordinates
are saved in a matrix file CR_COORD.M .

In summary, the results are selected as follows:
                             In columnwise results:
Mask Task                    Matrix file  for
C    Row coordinates         CR_COORD.M   Column coordinates
S    Supplementary columns   CR_SUPPC.M   Column coordinates
u    U from SVD              CR_V.M       V from SVD
                             CR_EIGEN.M   D^2 from SVD
a    Absolute contributions  CR_CONTR.M   for columnwise contributions
s    Squared correlations    CR_CORR2.M   for columnwise squared corr.s
r    Residuals of the original table
m    Mass (one variable)     CR_MDIST.M   1st column
d    Chi^2 distance          CR_MDIST.M   2nd column

Above, SVD stands for the singular value decomposition A=UDV' of matrix
     A=Em*F*En
where F is the original m x n matrix, Em is a diagonal matrix with the
inverse square roots of the row sums as diagonal elements and En is
similarly related to the column sums.

Supplementary cases (rows) are indicated by a specification
SUPPL_CASES=<variable>,<l.limit>,<u.limit> 

/CRPLOT <data>,<C1>,<C2>,<C_coord>,<S_coord>             / K.Vehkalahti
creates a correspondence plot of dimensions <C1> and <C2> so that the
information from <data> and two matrices are presented in the same
coordinate system.

Reference:
Lebart, Morineau, Warwick: Multivariate Descriptive Statistical
                           Analysis, (Wiley 1984)

See also MCORRESP? (Multiple Correspondence Analysis)

An example on the next page:

   Example:
Before plotting, activate the CORRESP operation below!
HEADER=Fisher's_example:_Hair_and_eye_colors_of_children_in_Caithness,_Scotland
GPLOT COLORS,C1,C2 /     POINT=[RED],Color OUTFILE=A
                         SCALE=-1,0,1.5 MODE=VGA XDIV=179,380,80 YDIV=59,380,40
...................................................................................................
GPLOT CR_COORD.M,C1,C2 / POINT=[BLUE],CASE HEADER= INFILE=A
                         SCALE=-1,0,1.5 MODE=VGA XDIV=179,380,80 YDIV=59,380,40
...................................................................................................
DATA COLORS,A,B,N,M
 ------  AAA    AAA   AAA   AAA  CC.CC CC.CC rrrr rrrr rrrr rrrr  aa.a aa.a ss.ss ss.ss mm.mm dd.dd
 Color  BLUE  LIGHT MEDIUM DARK     C1    C2   BL   LI   ME   DA  ABS1 ABS2    S1    S2  Mass  Dist
 Fair    326    688   343    98
 Red      38    116    84    48
 Medium  241    584   909   403
 Dark    110    188   412   681
 Black     3      4    26    85

CORRESP COLORS,CUR+1
    M = More information on multivariate analysis 


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