国内OBHRM博导名录
25年11月元分析研讨会
问题、建议与微信群
查看“Mplus DATA”的源代码
←
Mplus DATA
跳转至:
导航
、
搜索
因为以下原因,您没有权限编辑本页:
您所请求的操作仅限于该用户组的用户使用:
用户
您可以查看与复制此页面的源代码。
==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>
返回至
Mplus DATA
。
导航菜单
个人工具
登录
命名空间
页面
讨论
变种
视图
阅读
查看源代码
查看历史
更多
搜索
导航
首页
发起人
编辑团队
编辑练手
最近更改
研究量表
全部量表
中文量表
英文量表
主题量表
统计分析
统计资源
SPSS
Jamovi
R
Mplus
开放数据
学术资源
最佳论文
国际期刊
国内期刊
一站阅读
学术会议
国内院校
自科项目
Zotero
教学资源
重要学者
网络课程
调查报告
心理测验
游戏活动
教学案例
电影视频
常用工具
链入页面
相关更改
特殊页面
页面信息