“Mplus DATA”的版本间的差异

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（→‎DATA命令语法）
 
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VARIANCES =          CHECK;                                                                                      CHECK
 
VARIANCES =          CHECK;                                                                                      CHECK
 
                     NOCHECK;
 
                     NOCHECK;
−
 
−
 
 
DATA IMPUTATION:             
 
DATA IMPUTATION:             
 
     IMPUTE =        names of variables for which missing values will be imputed;       
 
     IMPUTE =        names of variables for which missing values will be imputed;       
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     SAVE =          COVARIANCE;                                                                                  COVARIANCE
 
     SAVE =          COVARIANCE;                                                                                  COVARIANCE
 
     MODEL =        SEQUENTIAL;       
 
     MODEL =        SEQUENTIAL;       
−
      REGRESSION;       
+
                    REGRESSION;       
−
               
 
 
     VALUES =        values imputed data can take;                                                                no restrictions
 
     VALUES =        values imputed data can take;                                                                no restrictions
 
     ROUNDING =      number of decimals for imputed continuous variables;                                        3
 
     ROUNDING =      number of decimals for imputed continuous variables;                                        3
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DATA TWOPART:                   
 
DATA TWOPART:                   
 
     NAMES =        names of variables used to create a set of binary and continuous variables;       
 
     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
+
     CUTPOINT =      value used to divide the original variables into a set of  binary and continuous variables;  0                      
−
                         
 
 
     BINARY =        names of new binary variables;       
 
     BINARY =        names of new binary variables;       
 
     CONTINUOUS =    names of new continuous variables;       
 
     CONTINUOUS =    names of new continuous variables;       
−
     TRANSFORM =    function to use to transform new continuous                                                 LOG
+
     TRANSFORM =    function to use to transform new continuous variables;                                       LOG
−
                    variables;
 
 
DATA MISSING:             
 
DATA MISSING:             
 
     NAMES =        names of variables used to create a set of binary variables;       
 
     NAMES =        names of variables used to create a set of binary variables;       
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                     DDROPOUT;       
 
                     DDROPOUT;       
 
     DESCRIPTIVE =  sets of variables for additional descriptive statistics separated by the | symbol;  
 
     DESCRIPTIVE =  sets of variables for additional descriptive statistics separated by the | symbol;  
−
 
−
 
 
DATA SURVIVAL:
 
DATA SURVIVAL:
 
     NAMES =        names of variables used to create a set of binary event-history variables;
 
     NAMES =        names of variables used to create a set of binary event-history variables;

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;
取自“http://www.obhrm.net/index.php?title=Mplus_DATA&oldid=2771”