“Mplus DATA”的版本间的差异
来自OBHRM百科
Lichaoping（讨论 | 贡献） |
Lichaoping（讨论 | 贡献） |
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| 第28行： | 第28行： | ||
SAVE = COVARIANCE; COVARIANCE | SAVE = COVARIANCE; COVARIANCE | ||
MODEL = SEQUENTIAL; | MODEL = SEQUENTIAL; | ||
| − | + | 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 | ||
| 第51行： | 第50行： | ||
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 | + | TRANSFORM = function to use to transform new continuous variables; LOG |
| − | |||
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; | ||
| 第60行： | 第58行： | ||
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) 07:58的版本
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;
