matlab 不让显示中间结果,matlab - MATLAB`fitglme`导致中间结果出错 - 堆栈内存溢出...
MATLAB R2014b的库函数fitglme正在起作用。 它似乎产生了无效的中间结果，参见 以下运行：
>> formula = 'Y ~ A + (1|B)';
>> glme = fitglme(ds,formula,'Verbose',2);
Starting PL iterations.
============================================================================================
ITER FUN VALUE NORM GRAD NORM STEP CG TERM RHO TRUST RAD ACCEPT
============================================================================================
0 -1.798e+308 0.000e+00 1.250e+03 BNDRY +1.747e+305 1.250e+03 YES
Infinity norm of the final gradient = 0.000e+00
Two norm of the final step = 1.250e+03, TolX = 1.000e-12
Relative infinity norm of the final gradient = 0.000e+00, TolFun = 1.000e-06
EXIT: Local minimum found.
-----------------------------------------------------------------------------------
PL ITER LOGLIK ||ETA|| ||ERR: ETA|| ||W|| ||ERR: ETA->MU->ETA||
-----------------------------------------------------------------------------------
1 NaN 2.797e+00 NaN 4.000e+00 NaN
Error using
classreg.regr.lmeutils.StandardLinearLikeMixedModel/validatey (line
299)
NaN or Inf values are not allowed in y.
Error in classreg.regr.lmeutils.StandardLinearMixedModel/set.y (line
265)
newy = validatey(slme,newy);
Error in
classreg.regr.lmeutils.StandardGeneralizedLinearMixedModel/fitUsingPL
(line 1661)
slme.y = ypw;
Error in
classreg.regr.lmeutils.StandardGeneralizedLinearMixedModel/refit
(line 4315)
[sglme,cause] = fitUsingPL(sglme,numIter,kappa);
Error in classreg.regr.lmeutils.StandardGeneralizedLinearMixedModel
(line 4288)
sglme = refit(sglme);
Error in GeneralizedLinearMixedModel/fitStandardLMEModel (line 1317)
slme =
classreg.regr.lmeutils.StandardGeneralizedLinearMixedModel(X,model.y,Zs,Psi,model.FitMethod,dofit,dostats,args{:});
Error in GeneralizedLinearMixedModel/fitter (line 891)
model.slme = fitStandardLMEModel(model);
Error in classreg.regr.FitObject/doFit (line 220)
model = fitter(model);
Error in GeneralizedLinearMixedModel.fit (line 2411)
model = doFit(model);
Error in fitglme (line 389)
glme = GeneralizedLinearMixedModel.fit(T,formula,varargin{:});
哪里
ds =
Y A B
2.7971 1 1
2.3801 2 1
1.7125 1 2
0.13291 2 2
0.70898 1 3
1.3898 2 3
0.55758 1 4
0.43072 2 4
-1.3622 1 5
-1.4441 2 5
-0.0781 1 6
0.48738 2 6
-0.77377 1 7
-1.4891 2 7
-1.149 1 8
-0.70913 2 8
请帮助。 我正在运行数以千计的这些配件，我不知道为什么例如这里的数据集不起作用，而例如以下内容：
ds =
Y A B
2.8272 1 1
2.4091 2 1
1.6445 1 2
0.11834 2 2
0.66552 1 3
1.3342 2 3
0.53821 1 4
0.35225 2 4
-1.3412 1 5
-1.4446 2 5
-0.092893 1 6
0.44625 2 6
-0.805 1 7
-1.5075 2 7
-1.1167 1 8
-0.7717 2 8
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