QUANTILE REGRESSION

QUANTILE REGRESSION is available in Custom Tables and Advanced Statistics.

The command invokes the Quantile Regression procedure. A single numeric dependent variable is required. BY and WITH are followed by an optional list of factors and covariates, respectively. Note that either the intercept term or at least one predictor is required to run the analysis.

QUANTILE REGRESSION dependent_varname [BY factor_list] [WITH covariate_list]
[ /MISSING
     [ CLASSMISSING = {EXCLUDE**} {INCLUDE}]]
[ /CRITERIA
     [ QUANTILE = {0.5**} {[values] [value1 TO value2 BY value3]} ]   @@
     [ IID = {TRUE**} {FALSE} ]
     [ BANDWIDTH = {BOFINGER**} {HALL_SHEATHER} ]
     [ CILEVEL = {95**} {value} ]
     [ METHOD = {AUTO**} {SIMPLEX} {INTERIOR_POINT} ]
     [ TOL = {1E-12**} {value} ]   ## 
     [ CONV = {1E-6**} {value}]   $$ 
     [ MAXITER = {2000**} {integer} ] ]
[ /MODEL
     [ effect_1 effect_2 ... ]
     [ REGWGT = weight_varname ]   %%
     [ INTERCEPT = {TRUE**} {FALSE} ] ]  ^^ 
[ /SAVE
     [ PRED([ {varname} {rootname}) ] ]
     [ RESID( {varname} {rootname}) ]
     [ CIPREDL({varname} {rootname}) ]
     [ CIPREDU({varname} {rootname}) ] ]
[ /PREDICT_EFFECTS
     [ NUM_TOP_EFFECTS = {3**} {integer}] ]
[ /PREDICTION_TABLES ]
     [ effect_1 effect_2 ... ]   && 
[ /PREDICTION_LINES ]
     [ effect_1 effect_2 ... ]   ⊕ 
[ /PRINT
     [ PARAMETER** ]
     [ COVB ]
     [ CORB ] ]
[ /PLOT
     [ MAX_CATEGORIES = {10**} {integer} ]   ⊖
     [ PREDICTED_BY_OBSERVED = {FALSE**} {TRUE} ]
     [ PARAM_EST = {50**} {integer} {ALL} ] ]
[ /OUTFILE
     [ COVB = 'savfile' | 'dataset' ]
     [ CORB = 'savfile' | 'dataset' ]
     [ FILE_SEPARATE = {FALSE**} {TRUE} ]
     [ {MODEL = 'filename'} {PARAMETER = 'filename'} ] ]
[ /EXTERNAL ]

** Default if the subcommand or keyword is omitted.

@@ Use unique values ∈ [0,1]

## For the matrix manipulations

$$ For the numerical method

%% Must be a numeric variable

^^ Either intercept or at least one predictor

&& A subset of the effects contained in the model

⊕ A subset of the effects contained in the model

⊖ Maximum categories plotted for a mixed effect

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