MIXED
MIXED
is available in Custom Tables and Advanced
Statistics.
The MIXED
procedure fits a variety of mixed linear models. The
mixed linear model expands the general linear model used in the GLM
procedure in
that the data are permitted to exhibit correlation and non-constant variability.
MIXED dependent varname [BY factor list] [WITH covariate list]
[/CRITERIA = [CIN({95** })] [HCONVERGE({.00000001** } {ABSOLUTE })
{value} {value} {RELATIVE**}
[DFMETHOD({SATTERTHWAITE**} {RESIDUAL} {KENWARDROGER})]
[LCONVERGE({0** } {ABSOLUTE**})] [MXITER({100**})]
{value} {RELATIVE } {n }
[MXSTEP({10**})] [PCONVERGE({0** },{ABSOLUTE**})] [SCORING({1**})]
{n } {value } {RELATIVE } {n }
[SINGULAR({1E-12**})] ]
{value }
[/EMMEANS = TABLES ({OVERALL })]
{factor }
{factor*factor ...}
[WITH (covariate=value [covariate = value ...])
[COMPARE [({factor})] [REFCAT({value})] [ADJ({LSD** })] ]
{FIRST} {BONFERRONI}
{LAST } {SIDAK }
[/FIXED = [effect [effect ...]] [| [NOINT] [SSTYPE({1 })] ] ]
{3**}
[/METHOD = {ML }]
{REML**}
[/MISSING = {EXCLUDE**}]
{INCLUDE }
[/PRINT = [CORB] [COVB] [CPS] [DESCRIPTIVES] [G] [HISTORY(1**)] [LMATRIX] [R]
(n )
[SOLUTION] [TESTCOV]]
[/RANDOM = effect [effect ...]
[| [SUBJECT(varname[*varname[*...]])] [COVTYPE({VC** })] [SOLUTION]]
{covstruct+}
[/REGWGT = varname]
[/REPEATED = varname[*varname[*...]] | SUBJECT(varname[*varname[*...]]) KRONECKER(varname[*varname[*...]])
[COVTYPE({DIAG** })]]
{covstruct†}
[SPCOORDS(varname...)]
[/SAVE = [tempvar [(name)] [tempvar [(name)]] ...]
[/OUTFILE [EBLUPS('savfile' | dataset)]
[FILE_SEPARATE({FALSE**} {TRUE})]]
[/TEST[(valuelist)] =
['label'] effect valuelist ... [| effect valuelist ...] [divisor=value]]
[; effect valuelist ... [| effect valuelist ...] [divisor=value]]
[/TEST[(valuelist)] = ['label'] ALL list [| list] [divisor=value]]
[; ALL list [| list] [divisor=value]]
** Default if the subcommand is omitted.
† covstruct
can take the following values: AD1
,
AR1
, ARH1
, ARMA11
, CS
,
CSH
, CSR
, DIAG
, FA1
,
FAH1
, HF
, ID
, TP
,
TPH
, UN
, UNR
, VC
.
For the REPEATED
subcommand, covstruct
can take the following
additional values: SP_POWER
, SP_EXPONENTIAL
,
SP_GAUSSIAN
, SP_LINEAR
, SP_LINEARLOG
,
SP_SPHERICAL
, UN_AR1
, UN_CS
,
UN_UN
.
The KRONECKER
keyword should be used only when COVTYPE
is
defined as UN_AR1
, UN_CS
, or UN_UN
.
When both KRONECKER
and REPEATED
are in effect, they may or may
not have common fields, but their values cannot be exactly the same (even when the values are not in
the same order).
This command reads the active dataset and causes execution of any pending commands. See the topic Command Order for more information.
Syntax for
the MIXED
command can be generated from the Linear Mixed Models dialog box.
Release History
Release 29.0.1
OUTFILE
subcommand entry added.
Release 29
- The output includes pseudo-R2 measures and the intra-class correlation coefficient (when appropriate).
Release 28.0.1
- Default convergence criterion in effect changed from PCONVERGE(.000001, ABSOLUTE) to HCONVERGE(.00000001, RELATIVE).
Release 25
SP_POWER
,SP_EXPONENTIAL
,SP_GAUSSIAN
,SP_LINEAR
,SP_LINEARLOG
, andSP_SPHERICAL
options added to theCOVTYPE
keyword on theREPEATED
subcommand.SPCOORDS
keyword introduced on theREPEATED
subcommand.SOLUTION
keyword introduced on theRANDOM
subcommand.
Subscription (April 2018 update)
DFMETHOD
keyword introduced on theCRITERIA
subcommand.KRONECKER
keyword added to theREPEATED
subcommand. The keyword should be used only whenCOVTYPE
is one of three following Kronecker types.UN_AR1
,UN_CS
, andUN_UN
options added to theCOVTYPE
keyword on theREPEATED
subcommand.
Example
MIXED Y.