mkjep asked . 2022-07-16

"Input to EIG must not contain NaN or Inf" error in fitrm for 18 subjects and 6 levels

The code:

subj = {'Subj1','Subj2','Subj3','Subj4','Subj5','Subj6','Subj7','Subj8','Subj9','Subj10','Subj11','Subj12','Subj13','Subj14','Subj15','Subj16','Subj17','Subj18'}';

t_loud_fc = table(subj,fc_y_250_mean,fc_y_500_mean,fc_y_1000_mean,fc_y_2000_mean,fc_y_3000_mean,fc_y_4000_mean,...
  'VariableNames',{'subj','Cond1','Cond2','Cond3','Cond4','Cond5','Cond6'});

cond_loud_fc = dataset([1 2 3 4 5 6]','VarNames',{'Conditions'});

rm_loud_fc = fitrm(t_loud_fc,'Cond1-Cond6~subj','WithinDesign',cond_loud_fc);

ranovatbl_loud_fc = ranova(rm_loud_fc);

The output from the console window is:

Error using eig
Input to EIG must not contain NaN or Inf.

Error in RepeatedMeasuresModel>mauchlyTest (line 1921)
lam = eig(C'*S*C);

Error in RepeatedMeasuresModel.fit (line 1369)
          [this.Mauchly,this.Epsilon] = mauchlyTest(this.Cov,size(Xmat,1),rank(Xmat));

Error in fitrm (line 67)
s = RepeatedMeasuresModel.fit(ds,model,varargin{:});

Error in RunStatAnalysis (line 51)
rm_loud_fc = fitrm(t_loud_fc,'Cond1-Cond6~subj','WithinDesign',cond_loud_fc);

anova , within-subject , AI, Data Science, and Statistics , Statistics and Machine Learning Toolbox