Mplus DATA
来自OBHRM百科
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;