RE: Bivariate anaysis
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RE: Bivariate anaysis



You need to use  !ASUV tif you want to fit the R structure as I cross
CORR but I do not think there is any advantage of using CORR
in this case.  As Luc suggests, yu may need to specify
the number of records in the R structureArthur
Fri, 30 Nov 2001, Janss, L.L.G. wrote:

> It looks to me that the !ASUV is inappropriate. It messes-up the default
> sizes (ASREML reports to expect double the size of what is actually
> present).
> 
> > 	Luc
> > Dr. L.L.G. Janss
> > ID-Lelystad Institute for Animal Science and Health
> > P.O. Box 65, 8200 AB Lelystad, The Netherlands
> > phone: + 31 (0) 320 238 259, fax: + 31 (0) 320 238 050
> > e-mail: l.l.g.janss@id.wag-ur.nl, internet: www.id.wageningen-ur.nl
> > visiting address: Edelhertweg 15, Lelystad
> > This message is intended exclusively for the addressee. It may contain
> > information that is confidential. Any use or publication of this e-mail
> > message without permission of ID-Lelystad is not allowed. If you are not
> > the intended recipient please notify us and destroy this message.
> > 
> > 
> > -----Original Message-----
> > From:	Abbas.Pakdel@alg.vf.wau.nl [SMTP:Abbas.Pakdel@alg.vf.wau.nl]
> > Sent:	Thursday, November 29, 2001 3:14 PM
> > To:	asreml@chiswick.anprod.csiro.au
> > Subject:	Bivariate anaysis
> > 
> > Dear artour and asreml users
> > Hi
> > I would like to set up an ASREML to do a bivariate analysis . I have some 
> > normal traits and some score traits. I run univariate analysis for all
> > traits 
> > atfirst , But I don't know why the following model did not run.
> > Any help greatly appreciated.
> > The .as file 
> > 
> > Bivariate Analysis for hct & gew
> >  IND !P
> >  SIRE
> >  DAM
> >  IHD 46 !I
> >  SEX 2 !I
> >  K 2 !I
> >  AFDEL 10 !I
> >  HCT !M -99
> >  GEW !M -99
> >  RV !M -99
> >  TV !M -99
> >  RATIO !M -99
> >  PERRV !M -99
> >  PERTV !M -99
> >  UITV !M -99
> >  VOCHT !M -99
> >  BORST !M -99
> >  LEVER !M -99
> >  HART !M -99 # DEPENDENT VARIABLES
> > ali2.prn !MAKE #pedigree file
> > ali1.prn !MAXIT 50 !ASUV  #ascites data
> >  HCT RV ~ Trait Tr.SEX Tr.K Tr.AFDEL Tr.IHD !r Tr.IND !f mv
> > 
> >  1 2 1
> >  0
> >  Trait 0 CORR 0.1 13.5 5.8
> >  Tr.IND 2
> >  Trait 0 CORR 0.4 4.12 1.24
> >  IND
> > 
> > and the .asr file is :
> > 
> >   ASREML [11 Jun 1999]  Bivariate Analysis for hct & gew
> >  Thu Nov 29 15:11:11 2001   8.00 Mbyte    bi1
> >   Reading ali2.prn : skipping  0  lines
> >  PEDIGREE [ali2.prn ] has     5327 identities,   16760 Non zero elements
> >  QUALIFIERS: !MAXIT 50 !ASUV
> >   Reading ali1.prn  FREE FORMAT skipping  0  lines
> >  Bivariate analysis of HCT                  and RV
> >  Using     4202 records [of    4202 read from    4202 lines of ali1.prn
> >   Model term      Size Type    COL   Minimum    Mean      Maximum   #zero 
> > #miss
> >    1 IND          5327 Direct    1   895.0     3102.      5327.         0
> > 
> > 0
> >    2 SIRE            1 Covariat  2 0.9413E+08 0.9420E+08 0.9429E+08     0
> > 
> > 0
> >    3 DAM             1 Covariat  3 0.9413E+08 0.9420E+08 0.9429E+08     0
> > 
> > 0
> >    4 IHD            46 Factor    4      1    22.6675         46         0
> > 
> > 0
> >    5 SEX             2 Factor    5      1     1.5869          2         0
> > 
> > 0
> >    6 K               2 Factor    6      1     1.8377          2         0
> > 
> > 0
> >    7 AFDEL          10 Factor    7      1     4.9912         10         0
> > 
> > 0
> >    8 HCT             1 Variate   8  23.00      35.40      55.00         0
> > 
> > 655
> >    9 GEW             1 Covariat  9  3.540      16.04      25.63         0
> > 
> > 509
> >   10 RV              1 Variate  10 0.4000      1.955      5.300         0
> > 
> > 542
> >   11 TV              1 Covariat 11  2.300      6.968      11.80         0
> > 
> > 544
> >   12 RATIO           1 Covariat 12  8.000      27.94      60.00         0
> > 
> > 544
> >   13 PERRV           1 Covariat 13  2.747      12.47      51.50         0
> > 
> > 556
> >   14 PERTV           1 Covariat 14  2.238      4.393      9.002         0
> > 
> > 558
> >   15 UITV            1 Covariat 15  1.000     0.1600      1.000      2095
> > 
> > 1708
> >   16 VOCHT           1 Covariat 16  1.000     0.7763E-01  2.000      3542
> > 
> > 505
> >   17 BORST           1 Covariat 17  1.000     0.3084E-01  2.000      3585
> > 
> > 505
> >   18 LEVER           1 Covariat 18  1.000     0.6708E-01  2.000      3488
> > 
> > 505
> >   19 HART            1 Covariat 19  1.000     0.5890      2.000      1781
> > 
> > 506
> >   20 Trait           2 Traits/Variat
> >   21 Tr.SEX          4 Interaction 20 Trait   :    2    5 SEX            :
> > 
> > 2
> >   22 Tr.K            4 Interaction 20 Trait   :    2    6 K              :
> > 
> > 2
> >   23 Tr.AFDEL       20 Interaction 20 Trait   :    2    7 AFDEL          :
> > 
> > 10
> >   24 Tr.IHD         92 Interaction 20 Trait   :    2    4 IHD            :
> > 
> > 46
> >   25 Tr.IND      10654 Interaction 20 Trait   :    2    1 IND            :
> > 
> > 5327
> >   26 mv_estimates 1197 Missing value
> >   8404  identity
> >      2  CORRelat    0.10   13.50    5.80
> >  Fault     1  R structures imply     0 + 16808 records: only   8404 exist
> >  HCT                                    ali1.prn
> >   Model specification:  TERM LEVELS GAMMAS
> >  Tr.IHD         92    0.00 Tr.AFDEL       20    0.00 Tr.K            4
> > 0.00
> >  Tr.SEX          4    0.00 Trait           2    0.00 Tr.IND      10654
> > 0.10
> >  mv_estimates 1197    0.00
> > SECTIONS   16808       8       1
> >     TYPE       0       0       0       0       0       0       0
> >   STRUCT    8404       0       0       0       0       1       0       0
> >                2       3       5       9       0       1       0       0
> >                0       0       0       0       0       0       0       0
> >                0       0       0       0       0       0       0       0
> >                0       0       0       0       0       0       0       0
> >                0       0       0       0       0       0       0       0
> >                0       0       0       0       0       0       0       0
> >                0       0       0       0       0       0       0       0
> >                0       0       0       0       0       0       0       0
> > 
> >    26 factors define [max 500].
> >    11 variance parameters [max 550].   2 special structures
> >  Final parameter values                       0.10000     0.0000    
> > -.10000E-36
> >   0.10000     13.500     5.8000
> >   Last line read was:   Trait 0 CORR 0.1 13.5 5.8 0 0 0 0 0
> >     26     1   4202  8404   1000
> >  Finished: Thu Nov 29 15:11:23 2001    R structures imply     0 + 16808 
> > records
> > 
> > --
> > Asreml mailinglist archive:
> > http://www.chiswick.anprod.csiro.au/lists/asreml
> --
> Asreml mailinglist archive: http://www.chiswick.anprod.csiro.au/lists/asreml
> 


<><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><>
Arthur Gilmour PhD                  mailto:Arthur.Gilmour@agric.nsw.gov.au
Principal Research Scientist (Biometrics)            fax: <61> 2 6391 3899
NSW Agriculture                                           <61> 2 6391 3922
Orange Agricultural Institute             telephone work: <61> 2 6391 3815
Forest Rd, ORANGE, 2800, AUSTRALIA                  home: <61> 2 6364 3288
                                                  mobile: <61> 4 1964 7675
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