![]() ![]() It's a bug in the software where two files have the same name, so the program doesn't know which one to use. To fix this, rename /home/el/octave/multicore-0.2.15/gethostname.m to /home/el/octave/multicore-0.2.15/gethostname_backup.m. ![]() Like this one: warning: function /home/el/octave/multicore-0.2.15/gethostname.m For example use octave yourfile.m 2>/dev/null which also has the unfortunate side effect of redirecting the stderr of both the octave engine and your script.Ĭertain warnings terminate the process, and can't be suppressed, they must be remedied: Note: If your warning is thrown by the octave interpreter itself before your script is run, then you'll have to take a different approach. Or disable all warnings with warning('off', 'all') Put this command in your octave program before the warning occurs: warning('off', 'Octave:possible-matlab-short-circuit-operator') The warning names and id's are listed with octave command: help warning_ids See the list of warnings and their warning id's and names here in section: '12.2.2 Enabling and Disabling Warnings'. The significance is 0.0017, which means that by chance we would have observed values of t more extreme than the one in this example in only 17 of 10,000 similar experiments! A 95% confidence interval on the mean is, which includes the theoretical (and hypothesized) difference of -0.5.Disable warnings by warning type in GNU Octave: The result h = 1 means that we can reject the null hypothesis. Notice that the true difference is only one half of the standard deviation of the individual observations, so we are trying to detect a signal that is only one half the size of the inherent noise in the process. We test the hypothesis that there is no true difference between the two means. The observed means and standard deviations are different from their theoretical values, of course. We then generate 100 more normal random numbers with theoretical mean 1/2 and standard deviation 1. This example generates 100 normal random numbers with theoretical mean 0 and standard deviation 1.
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