当我使用semTools中的 sem 函数使用缺少值的数据集运行模型时，一切工作正常。当我使用mouses包来估算缺失值时，估算工作可以得到5个没有缺失数据的数据集。
使用的sem函数如下所示：
sem_full <- sem(model=full_model, data=my_data, ordered=c("r01","r02","r03","r04","r05","r06","r07","r08","r09","r10","r11","r12","r13","r14","r17","r15","r16","r19","r20","r21","r22","r23","r24","q01","q02","q03","q04","q05","q09","q11","q13","q15","q22","q23","q24","q17","q18","q20","q10","q12","q14","q19","q21","q25","q26","q27"))
，并且模型是这样指定的：
full_model <- '
first_one =~ NA*r01 + r02 + r03 + r04 + r05 + r06 + r07 + + r08 + r09 + r10 + r11 + r12 + r13 + r14 + r17
first_two =~ NA*r13 + r14 + r15 + r16 + r19 + r20 + r21 + r22 + r23 + r24
f1 =~ NA*q01 + q02 + q03 + q04 + q05
f2 =~ NA*q09 + q11 + q13 + q15
f3 =~ NA*q22 + q23 + q24
f4 =~ NA*q17 + q18 + q20
f5 =~ NA*q10 + q12 + q14
f6 =~ NA*q19 + q21
f7 =~ NA*q25 + q26 + q27
first_one + first_two ~ f1
first_one + first_two ~ f2
first_one + first_two ~ f3
first_one + first_two ~ f4
first_one + first_two ~ f5
first_one + first_two ~ f6
first_one + first_two ~ f7
first_one + first_two ~ sex
first_one + first_two ~ age
first_one + first_two ~ freq
first_one + first_two ~ sat
f1 ~~ 1*f1
f2 ~~ 1*f2
f3 ~~ 1*f3
f4 ~~ 1*f4
f5 ~~ 1*f5
f6 ~~ 1*f6
f7 ~~ 1*f7
first_one ~~ 1*first_one
first_two ~~ 1*first_two'
现在使用
sem_mice <- runMI(full_model, data=mice_sem.imp,fun="sem", ordered=c("r01","r02","r03","r04","r05","r06","r07","r08","r09","r10","r11","r12","r13","r14","r17","r15","r16","r19","r20","r21","r22","r23","r24","q01","q02","q03","q04","q05","q09","q11","q13","q15","q22","q23","q24","q17","q18","q20","q10","q12","q14","q19","q21","q25","q26","q27"), meanstructure = TRUE)
要获得所有估算数据集的结果，我会收到一条错误消息：
特征值错误（VarCov，对称= TRUE，仅值= TRUE）： 'x'中的无穷或缺失值
我在做什么错？在所有估算数据集中都没有缺失值，当我在每个估算数据集上分别运行sem函数时，它可以正常工作（但是我没有得到合并结果）。
除性别（数字）和年龄（数字）外，所有变量均为整数类型。 除性别，年龄和频率外，其他所有内容均包含有序值1 2 3 4。
似乎性别预测变量（编码为虚拟0、1）引起了一些问题。但是我不明白为什么它在计算单个模型而不是通过runMI函数合并模型时可以很好地工作。