ERROR DESCRIPTION:

Error using repmat
Too many input arguments.
Error in conn_menu_montage (line 71)
p1=repmat(ref(:,i1(mask)),1,1,4,4)+repmat(permute(D,[1,3,2,4]),1,nnz(mask),1,4);
Error in conn (line 9395)
[connx0,conny0]=conn_menu_montage('plotline',CONN_h.menus.m_results.xsen1n2,repmat(xyz1(:,n1),1,size(xyz2,2)),xyz2,max(.2,1/CONN_h.menus.m_results.xsen1n2(6)));
Error in conn (line 7426)
else conn gui_results_r2r;
Error in conn_menumanager (line 120)
feval(CONN_MM.MENU{n0}.callback{n1}{1},CONN_MM.MENU{n0}.callback{n1}{2:end});
CONN18.b
SPM12 + Anatomy DEM FAVBS FieldMap MEEGtools TFCE aal cat12 conn vbm5 vbm8 wfupickatlas
Matlab v.2013a
project: CONN17.f
storage: 532.1Gb available
spm @ P:\SPM\spm12_v6225
conn @ P:\SPM\spm12_v6225\toolbox\conn

Hi Alphonso, thank you for all the help and support you're giving to the CONN community.

We're currently running a group analysis with four groups, on a database of 220 subjects.
We have specified our second-level covariates as follow (here I'm reporting just 12 subjects as an example):

All_Subj  [1 1 1 1 1 1 1 1 1 1 1 1]
Group_A [0 1 0 0 1 0 1 1 0 0 0 0]
Group_B [1 0 0 0 0 0 0 0 1 1 0 0]
Group_C [0 0 1 0 0 1 0 0 0 0 0 0]
Group_D [0 0 0 1 0 0 0 0 0 0 1 1]
Age*  [12 5 7 8 12 10 13 9 5 8 5 5]
Gender [0 1 1 0 0 1 1 0 1 1 0 0]

*Since we know only the age span of each subject (e.g. 60-65 years), we've coded age as a multiple of 5 years (i.e. 55-60 = "11", 60-65 = "12", 65-70 = "13" etc..).

We are running a ROI-to-ROI analysis on 11 ROIs and we are planning to do pairwise comparisons in order to explore connectivity differences between groups.
Unfortunately, everytime we open the second-level analysis GUI, we encounter this error:

======================
======================

-First question: have we made any error in covariate specification?

-Second question: what is the "too many input arguments" error about?

-Third question: if we want to compare two groups, would this design work:

- Variables: Group A; Group B; Age (covariate); Gender (covariate).
- T-contrast: [1 -1 0 0]

Should we also create a new variable "Included subjects" to specify that we're running the analysis only on a subgroup of patients?

(example:
Group_A [0 1 0 0 1 0 1 1 0 0 0 0]
Group_B [1 0 0 0 0 0 0 0 1 1 0 0]
Age [12 5 7 8 12 10 13 9 5 8 5 5]
Gender   [0 1 1 0 0 1 1 0 1 1 0 0]
Included_subjs [1 1 NaN NaN 1 NaN 1 1 1 1 NaN NaN])


Thank you immensely for the help,
Davide