9/12/2023 0 Comments Ttest2 function matlab python![]() ![]() ![]() 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 It seems that both functions give relatively low P values. For ttest, ttest (X,Y) gives P 1.8e-7, for ttest2, ttest2 (X,Y) gives P 8.0e-11. 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: 1 I have two samples X and Y, both are N1 vectors, I found that in Matlab (R2015), both ttest and ttest2 can accept two samples and give the P value, but their results are somewhat different. 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. mented in MatLab R2017b to select 51 model instances with the most. Or disable all warnings with warning('off', 'all') neural responses to faces in the macaque inferotemporal (IT) cortex with a deep self. Put this command in your octave program before the warning occurs: warning('off', 'Octave:possible-matlab-short-circuit-operator') The code I use is straightforward: clear clc Define experimental data. It's quite easy to compute: Without much information about your data I re-arranged them into single row vectors for comparisons. The warning names and id's are listed with octave command: help warning_ids 1 It looks like you want to perform 2 sample (paired) t-test, in which case you want to use the ttest2 function. See the list of warnings and their warning id's and names here in section: '12.2.2 Enabling and Disabling Warnings'. Is that what you meant? If not please provide more details about your data.Disable warnings by warning type in GNU Octave: TitleString = sprintf('Condition %i\n p-value of %0.2f',k,PValues(k)) Create a new cell in which you type and execute: sleepHoursSec3 sleepHours (:, section 3) h3, p3, c3 ttest2 (sleepHoursSec2 (:), sleepHoursSec3 (:)) fprintf ( 'Do students in sections 2 and 3 get different amounts of sleep on average \t'. Use the ttest function (documentation) if its a paired t-test, or the ttest2 function if its not paired (documentation). The p-value is given together with h, which tells you whether the null hypothesis is rejected (value of 0) or not (value of 1). % Group data for easy referencing in plots ![]() It's quite easy to compute: Without much information about your data I re-arranged them into single row vectors for comparisons.Ĭond2 = Ĭond3 = It looks like you want to perform 2 sample (paired) t-test, in which case you want to use the ttest2 function. My question is how to do T-test for the fMRI data? H1: Condition1 ≠ Condition2Īnd should I compute based on these:1.Difference between the mean intensities of each conditionĢ -1 3 -1 -1 -1 -2 1 2 -3 -> under class 1 stimulus I want to test difference in signal between two conditions(class 1 stimulus vs rest condition), (class 2 stimulus vs rest condition) and (class 3 stimulus vs rest condition). The first two rows are under class 1 stimulus the next two rows are under class 2 stimulus, the next next two rows are under class 3 stimulus, the last three rows are under no stimulus(rest condition). I have a fMRI data matrix, the size of which is 9*10 (I randomly put the value in it). ![]()
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