Dear Anderson,
Thank you very much for your suggestion. PALM is great!!. Kindly I have the
following question:
If I want to correlate (pearson) to columns of continuous variables
included in the file "file.csv" I used the following command line : palm -i
file.csv -pearson -demean Then I got the following error message
Running PALM using MATLAB with the following options:
-i filecsv
-demean
-pearson demean
Error using palm_takeargs (line 961)
Unknown option: "demean"
Error in palm_backend (line 31)
[opts,plm] = palm_takeargs(varargin{:});
Error in palm (line 80)
palm_backend(varargin{:});
What is / are the reasons for this message
Thank you
Antoine
On Mon, Mar 2, 2015 at 2:58 AM, Anderson M. Winkler <[log in to unmask]>
wrote:
> Hi Antoine,
>
> You can use fslmeants as indicated. It will produce one value per subject
> per mask, which can be analysed using other software (e.g. SPSS) or, if you
> want, use permutation methods as available in PALM (available here
> <https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/PALM>), as that will allow
> correction for multiple testing just like randomise, but for non-imaging
> data as this.
>
> All the best,
>
> Anderson
>
>
> On 28 February 2015 at 15:50, Antoine Nasimian <[log in to unmask]>
> wrote:
>
>> Dear FSL experts.
>> I did TBSS analysis (just I ran the 4 scripts, without Randomise) to
>> generate all_FA_skeletonized.
>> I am interested in calculating the mean FA in the cortico spinal tract.
>>
>> - Is is correct technically if I create a 4D mask for the corticospinal
>> tract(from all_FA_skeletonized depending on JUH atlas) then I include this
>> mask in the following command line:
>>
>> fslmeants -i all_FA_skeletonized -m my 4D mask
>>
>> - Can I include the output of the previous command line (FA values) in a
>> Bayesian analysis or I correct it for multiple comparisons using FDR or
>> Bonferroni methods?
>>
>> Thanks,
>> Antoine
>>
>>
>>
>
--
Please ignore typos. Sent from my phone
