“Mplus DATA”的版本间的差异

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==DATA命令语法==
 
==DATA命令语法==
 +
<pre>DATA:
 +
FILE IS              file name;
 +
FORMAT IS            format statement;                                                                            FREE
 +
                    FREE;
 +
TYPE IS              INDIVIDUAL;                                                                                  INDIVIDUAL
 +
                    COVARIANCE;
 +
                    CORRELATION;
 +
                    FULLCOV;
 +
                    FULLCORR;
 +
                    MEANS;
 +
                    STDEVIATIONS;
 +
                    MONTECARLO;
 +
                    IMPUTATION;
 +
NOBSERVATIONS ARE    number of observations;
 +
NGROUPS =            number of groups;                                                                            1
 +
LISTWISE =          ON;                                                                                          OFF;
 +
                    OFF
 +
SWMATRIX =          file name;
 +
VARIANCES =          CHECK;                                                                                      CHECK
 +
                    NOCHECK;
 +
DATA IMPUTATION:           
 +
    IMPUTE =        names of variables for which missing values will be imputed;     
 +
                    number of imputed data sets;                                                                5
 +
    NDATASETS =    names of files in which imputed data sets are stored;     
 +
    SAVE =          COVARIANCE;                                                                                  COVARIANCE
 +
    MODEL =        SEQUENTIAL;     
 +
                    REGRESSION;     
 +
    VALUES =        values imputed data can take;                                                                no restrictions
 +
    ROUNDING =      number of decimals for imputed continuous variables;                                        3
 +
                    k where every k-th imputation is saved;                                                      100
 +
    THIN =           
 +
DATA WIDETOLONG:           
 +
    WIDE =          names of old wide format variables;     
 +
    LONG =          names of new long format variables;     
 +
    IDVARIABLE =    name of variable with ID information;     
 +
    REPETITION =    name of variable with repetition information;     
 +
DATA LONGTOWIDE:           
 +
    LONG =          names of old long format variables;     
 +
    WIDE =          names of new wide format variables;     
 +
    IDVARIABLE =    name of variable with ID information;     
 +
    REPETITION =    name of variable with repetition information
 +
                    (values);                                                                                    0, 1, 2, etc.
 +
DATA TWOPART:                 
 +
    NAMES =        names of variables used to create a set of binary and continuous variables;     
 +
    CUTPOINT =      value used to divide the original variables into a set of  binary and continuous variables;  0                       
 +
    BINARY =        names of new binary variables;     
 +
    CONTINUOUS =    names of new continuous variables;     
 +
    TRANSFORM =    function to use to transform new continuous variables;                                        LOG
 +
DATA MISSING:           
 +
    NAMES =        names of variables used to create a set of binary variables;     
 +
    BINARY =        names of new binary variables;     
 +
    TYPE =          MISSING;     
 +
                    SDROPOUT;     
 +
                    DDROPOUT;     
 +
    DESCRIPTIVE =  sets of variables for additional descriptive statistics separated by the | symbol;
 +
DATA SURVIVAL:
 +
    NAMES =        names of variables used to create a set of binary event-history variables;
 +
    CUTPOINT =      value used to create a set of binary event-history variables from a set of original variables;
 +
    BINARY =        names of new binary variables;
 +
DATA COHORT:
 +
    COHORT IS      name of cohort variable (values);
 +
    COPATTERN IS    name of cohort/pattern variable (patterns);
 +
    COHRECODE =    (old value = new value);
 +
    TIMEMEASURES =  list of sets of variables separated by the | symbol;
 +
    TNAMES =        list of root names for the sets of variables in TIMEMEASURES separated by the | symbol;</pre>

2017年3月13日 (一) 09:36的最新版本

DATA命令语法

DATA:
FILE IS              file name;
FORMAT IS            format statement;                                                                            FREE
                     FREE;
TYPE IS              INDIVIDUAL;                                                                                  INDIVIDUAL
                     COVARIANCE;
                     CORRELATION;
                     FULLCOV;
                     FULLCORR;
                     MEANS;
                     STDEVIATIONS;
                     MONTECARLO;
                     IMPUTATION; 
NOBSERVATIONS ARE    number of observations;
NGROUPS =            number of groups;                                                                            1
LISTWISE =           ON;                                                                                          OFF;
                     OFF
SWMATRIX =           file name;
VARIANCES =          CHECK;                                                                                       CHECK
                     NOCHECK;
DATA IMPUTATION:            
     IMPUTE =        names of variables for which missing values will be imputed;      
                     number of imputed data sets;                                                                 5
     NDATASETS =     names of files in which imputed data sets are stored;      
     SAVE =          COVARIANCE;                                                                                  COVARIANCE
     MODEL =         SEQUENTIAL;      
                     REGRESSION;      
     VALUES =        values imputed data can take;                                                                no restrictions
     ROUNDING =      number of decimals for imputed continuous variables;                                         3
                     k where every k-th imputation is saved;                                                      100
     THIN =            
DATA WIDETOLONG:            
     WIDE =          names of old wide format variables;      
     LONG =          names of new long format variables;      
     IDVARIABLE =    name of variable with ID information;      
     REPETITION =    name of variable with repetition information;      
DATA LONGTOWIDE:            
     LONG =          names of old long format variables;      
     WIDE =          names of new wide format variables;      
     IDVARIABLE =    name of variable with ID information;      
     REPETITION =    name of variable with repetition information 
                     (values);                                                                                    0, 1, 2, etc.
DATA TWOPART:                  
     NAMES =         names of variables used to create a set of binary and continuous variables;      
     CUTPOINT =      value used to divide the original variables into a set of  binary and continuous variables;  0                        
     BINARY =        names of new binary variables;      
     CONTINUOUS =    names of new continuous variables;      
     TRANSFORM =     function to use to transform new continuous variables;                                        LOG
DATA MISSING:            
     NAMES =         names of variables used to create a set of binary variables;      
     BINARY =        names of new binary variables;      
     TYPE =          MISSING;      
                     SDROPOUT;      
                     DDROPOUT;      
     DESCRIPTIVE =   sets of variables for additional descriptive statistics separated by the | symbol; 
DATA SURVIVAL:
     NAMES =         names of variables used to create a set of binary event-history variables;
     CUTPOINT =      value used to create a set of binary event-history variables from a set of original variables;
     BINARY =        names of new binary variables;
DATA COHORT:
     COHORT IS       name of cohort variable (values);
     COPATTERN IS    name of cohort/pattern variable (patterns);
     COHRECODE =     (old value = new value);
     TIMEMEASURES =  list of sets of variables separated by the | symbol;
     TNAMES =        list of root names for the sets of variables in TIMEMEASURES separated by the | symbol;
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