acclab / dabest-matlab Goto Github PK

Hello,

Just wanted to know if there is a way of retrieving the same kind of csv output files provided by the web version of the script in matlab.

It is quite annoying to only find group differences and not a single p-value, so I guess I will have to do the copy-paste anyway... Too bad I realized that after scripting my analysis...

Thanks

CSVtable.zip

Hello, could you possibly tell me what's wrong with these files ?
CSV generated from table by writetable(Csvtable,CSVfilename,'Delimiter',',')

Error Message in matlab :

Error using bootci>bootbca (line 265)
With 'type' equal to 'bca' (the default), BOOTCI uses JACKKNIFE internally. The call to JACKKNIFE failed with
function '@(x)nanmean(x)'. Try using a confidence interval type other than 'bca'.

Error in bootci (line 171)
[ci,bootstat] = bootbca(obsstat,nboot,fun,alpha,weights,bootstrpOptions,data{:});

Error in bootmoes (line 15)
bci=bootci(10000, hm, vec)';

Error in FscatJit2 (line 170)
[av(idx), moes, bci] = bootmoes(curDat);

Error in dabest (line 19)
[ss] = FscatJit2(identifiers, data);

Caused by:
Error using jackknife
Too many input arguments.

Hey Tayfun,

Having the same issue as Juliencarponcy, unrelated to the input data. I'm guessing its a version issue.

With R2018b, using the sample data you provided, I get the following:

Command:
dabest('MultipleGroups_sample.csv');

Error:
Error using bootci>bootbca (line 265)
With 'type' equal to 'bca' (the default), BOOTCI uses JACKKNIFE internally. The call to JACKKNIFE failed with function '@(x)nanmean(x)'. Try using a confidence interval type other than 'bca'.

Error in bootci (line 171)
[ci,bootstat] = bootbca(obsstat,nboot,fun,alpha,weights,bootstrpOptions,data{:});

Error in bootmoes (line 15)
bci=bootci(10000, hm, vec)';

Error in FscatJit2 (line 169)
[av(idx), moes, bci] = bootmoes(curDat);

Error in dabest (line 19)
[ss] = FscatJit2(identifiers, data);

Error in oEDT_timecourse_plot_v6 (line 942)
dabest('MultipleGroups_sample.csv');

Caused by:
Error using jackknife
Too many input arguments.