!ASUV
indicates that while the data structure and linear model are
specified in a multivariate form, the residual variance structure is
not
IDENTITY
for units crossed with
US
for traits.
When !ASUV is specified,
it is often also necessary to include mv in the linear model
and to specify the !S2==1
qualifier on the R-structure lines.
!ASMV t
indicates that while the data structure and linear model are
specified in a univariate form, the data is actually arranged
in a units by traits form (t nested within n units) and is to be analysed
using the residual variance structure
IDENTITY
for units crossed with
US
for traits.
Spatial analysis of a multi-environment trial
When
!SECTION site !ROWFAC row !COLFAC column
is specified, ASReml generates the R-structure lines to fit
an
AR1 x AR1
variance structure for each site.
Read More.
Graphics qualifiers
Whether ASReml produces graphics and whether they are displayed
on the screen is controlled by
was the Winteracter graphics library available for this platform,
hardcopy.
Some graphics are produced by default but others must be requested. The
!DISPLAY i
qualifier controls which of four spatial analysis graphics are displayed.
!TWOWAY
modifies the appearance of the variogram from a regular spatial grid
of points.
!VGSECTORS
requests a variogram based on radial coordinates
for irregular points.
If you run ASReml from ASReml-W, graphics are produced as
.cgm
files and may then be exported in several formats.
Otherwise the default format is
postscript.
The format of these hardcopy files may be changed
on the
commandline
or by specifying one of the following on the datafile line:
!BMP
bitmap
!EPS
encapsulated postscript
!WMF
Windows Meta file
!PS
postscript
!PNG
png
!HPGL
HP graphics language
!HPGL 2
HP graphics language II
Missing values in the Design
When missing values occur in design variables (as opposed
to the response variable), the user must indicate whether
to discard the records with containing the missing values,
or whether to treat the missing values as zeros. Read More.
Setting predict points
When fitting polynomials or splines, it is sometimes desirable
to predict the response surface at points other than those for which
there is data. Use
!PVAL
to specify these points before the design matrix is formed so
that the extra points have the appropriate covariables generated.
For predicting a grid of points modelled with a correlation
structure on a fac(X,Y) model term, use
!GKRIGE
to indicate how the cordinates are specified.
Read More.
Setting spline knot points
ASReml has a model term
spl(x[,k])
which, when fitted as a random term in conjunction with the
covariate x fitted as a fixed term generates a cubic
smoothing spline model. Several qualifiers modify the defaults
with respect to choosing knot points for the spline.
Read More.
My Basis function
The spline function used in ASReml is the common cubic smoothing spline
and has a particular basis function. The
!MBF qualifier
provides a mechanism for a user to specify the spline covariables
based on some other basis function.
Read More.
Redefining factors for use in the model
!FAMILY
is used to construct a new factor by merging levels
of an existing factor, taking the new levels from a file.
!FAMILY fam(Genotype) Family.txt
!GROUP
is used to construct a new factor by merging the levels
of an existing factor for subsequent
inclusion in the model.
!SUBSET Year SiteYear 1 2 3 1 2 2 3 4
!SUBSET
is used to construct a new factor having a subset of the levels
of an existing factor for subsequent
inclusion in the model.