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
OUTFILEsubcommand 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_SPHERICALoptions added to theCOVTYPEkeyword on theREPEATEDsubcommand.SPCOORDSkeyword introduced on theREPEATEDsubcommand.SOLUTIONkeyword introduced on theRANDOMsubcommand.
Subscription (April 2018 update)
DFMETHODkeyword introduced on theCRITERIAsubcommand.KRONECKERkeyword added to theREPEATEDsubcommand. The keyword should be used only whenCOVTYPEis one of three following Kronecker types.UN_AR1,UN_CS, andUN_UNoptions added to theCOVTYPEkeyword on theREPEATEDsubcommand.
Example
MIXED Y.