I ran 3dnetcorr analysis to assess correlation between 10 different ROI's. My aim is to import data across .netcc files (n=87) to an excel sheet. There are two 9x9 matrices in each .netcc file. Ideally only need one of those 9x9 matrices, which are fisher z scores.
Error message: ** ERROR: Wrong type of input here: need 'lm2b.file_grid_netcc'
**code:
#!/bin/bash
fat_mat_tableize.py -in_mat csv_netcc_list.csv -in_listfile csv_netcc_list.csv -prefix test_netcc_output_table
example data in -inmat
FC_003_newcorr_000.netcc
FC_004_newcorr_000.netcc
FC_007_newcorr_000.netcc
FC_008_newcorr_000.netcc
.... (more)
example data in -in_listfile
/project2/skeedy/FC/toscano_analysis/baseline_analysis/3dNetCorr/FC_003_newcorr_000.netcc FC_003
/project2/skeedy/FC/toscano_analysis/baseline_analysis/3dNetCorr/FC_004_newcorr_000.netcc FC_004
/project2/skeedy/FC/toscano_analysis/baseline_analysis/3dNetCorr/FC_007_newcorr_000.netcc FC_007
/project2/skeedy/FC/toscano_analysis/baseline_analysis/3dNetCorr/FC_008_newcorr_000.netcc FC_008
...(more)
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Is fat_mat_tableize.py the ideal program for me to use in this situation?