------------------------------------------
Setting up environment variables
---
LD_LIBRARY_PATH is .:/opt/matlab/R2016b/runtime/glnxa64:/opt/matlab/R2016b/bin/glnxa64:/opt/matlab/R2016b/sys/os/glnxa64:/opt/matlab/R2016b/sys/opengl/lib/glnxa64
processing ID sub-012
the input is raw data with 72 channels and 1200 trials
Warning: could not determine dimord of "chanlocs" in:

         hdr: [1x1 struct]
     fsample: 500
       trial: {1x1200 cell}
        time: {1x1200 cell}
       label: {72x1 cell}
         cfg: [1x1 struct]
        elec: [1x1 struct]
    chanlocs: [1x72 struct]


 In '/mnt/beegfs/home/kosciessa/.mcrCache9.1/a7_pre0/mnt/beegfs/home/kosciessa/EEGManyPipelines/eegmp_preproc/tools/fieldtrip/utilities/private/getdimord.m' at line 784
 In '/mnt/beegfs/home/kosciessa/.mcrCache9.1/a7_pre0/mnt/beegfs/home/kosciessa/EEGManyPipelines/eegmp_preproc/tools/fieldtrip/utilities/private/getdimord.m' at line 734
 In '/mnt/beegfs/home/kosciessa/.mcrCache9.1/a7_pre0/mnt/beegfs/home/kosciessa/EEGManyPipelines/eegmp_preproc/tools/fieldtrip/utilities/private/makessense.m' at line 41
 In '/mnt/beegfs/home/kosciessa/.mcrCache9.1/a7_pre0/mnt/beegfs/home/kosciessa/EEGManyPipelines/eegmp_preproc/tools/fieldtrip/utilities/ft_datatype_raw.m' at line 90
 In '/mnt/beegfs/home/kosciessa/.mcrCache9.1/a7_pre0/mnt/beegfs/home/kosciessa/EEGManyPipelines/eegmp_preproc/tools/fieldtrip/utilities/ft_checkdata.m' at line 277
 In '/mnt/beegfs/home/kosciessa/.mcrCache9.1/a7_pre0/mnt/beegfs/home/kosciessa/EEGManyPipelines/eegmp_preproc/tools/fieldtrip/ft_componentanalysis.m' at line 185

Warning: could not determine dimord of "chanlocs" in:

         hdr: [1x1 struct]
     fsample: 500
       trial: {1x1200 cell}
        time: {1x1200 cell}
       label: {72x1 cell}
         cfg: [1x1 struct]
        elec: [1x1 struct]
    chanlocs: [1x72 struct]


Warning: could not determine dimord of "chanlocs" in:

         hdr: [1x1 struct]
     fsample: 500
       trial: {1x1200 cell}
        time: {1x1200 cell}
       label: {72x1 cell}
         cfg: [1x1 struct]
        elec: [1x1 struct]
    chanlocs: [1x72 struct]


Warning: could not determine dimord of "chanlocs" in:

         hdr: [1x1 struct]
     fsample: 500
       trial: {1x1200 cell}
        time: {1x1200 cell}
       label: {72x1 cell}
         cfg: [1x1 struct]
        elec: [1x1 struct]
    chanlocs: [1x72 struct]


Warning: could not determine dimord of "chanlocs" in:

         hdr: [1x1 struct]
     fsample: 500
       trial: {1x1200 cell}
        time: {1x1200 cell}
       label: {72x1 cell}
         cfg: [1x1 struct]
        elec: [1x1 struct]
    chanlocs: [1x72 struct]


the call to "ft_selectdata" took 1 seconds and required the additional allocation of an estimated 436 MB
baseline correcting data 
scaling data with 1 over 165.875505
not concatenating data
starting decomposition using predetermined unmixing matrix
also applying the unmixing matrix to the elec structure
Warning: copying input chantype to montage
Warning: copying input chanunit to montage
the call to "ft_componentanalysis" took 5 seconds and required the additional allocation of an estimated 1440 MB
removing 17 components
keeping 54 components
the call to "ft_selectdata" took 0 seconds and required the additional allocation of an estimated 1 MB
processing trials
processing trial 146 from 1200processing trial 295 from 1200processing trial 453 from 1200processing trial 613 from 1200processing trial 774 from 1200processing trial 934 from 1200processing trial 1059 from 1200processing trial 1162 from 1200processing trial 1200 from 1200
also applying the backprojection matrix to the elec structure
Warning: copying input chantype to montage
Warning: copying input chanunit to montage
the call to "ft_rejectcomponent" took 3 seconds and required the additional allocation of an estimated 6 MB
Warning: sampleinfo in the configuration is inconsistent with the actual data
Warning: reconstructing sampleinfo by assuming that the trials are consecutive segments of a continuous recording
the call to "ft_selectdata" took 0 seconds and required the additional allocation of an estimated 43 MB
preprocessing
preprocessing trial 6 from 1086preprocessing trial 139 from 1086preprocessing trial 279 from 1086preprocessing trial 421 from 1086preprocessing trial 560 from 1086preprocessing trial 701 from 1086preprocessing trial 842 from 1086preprocessing trial 984 from 1086preprocessing trial 1069 from 1086preprocessing trial 1086 from 1086
the call to "ft_preprocessing" took 1 seconds and required the additional allocation of an estimated 44 MB
the call to "ft_selectdata" took 1 seconds and required the additional allocation of an estimated 4 MB
preprocessing
preprocessing trial 26 from 1086preprocessing trial 63 from 1086preprocessing trial 99 from 1086preprocessing trial 135 from 1086preprocessing trial 170 from 1086preprocessing trial 206 from 1086preprocessing trial 242 from 1086preprocessing trial 278 from 1086preprocessing trial 313 from 1086preprocessing trial 349 from 1086preprocessing trial 387 from 1086preprocessing trial 425 from 1086preprocessing trial 460 from 1086preprocessing trial 498 from 1086preprocessing trial 535 from 1086preprocessing trial 573 from 1086preprocessing trial 610 from 1086preprocessing trial 645 from 1086preprocessing trial 681 from 1086preprocessing trial 717 from 1086preprocessing trial 754 from 1086preprocessing trial 791 from 1086preprocessing trial 828 from 1086preprocessing trial 864 from 1086preprocessing trial 902 from 1086preprocessing trial 938 from 1086preprocessing trial 975 from 1086preprocessing trial 1007 from 1086preprocessing trial 1033 from 1086preprocessing trial 1071 from 1086preprocessing trial 1086 from 1086
the call to "ft_preprocessing" took 4 seconds and required the additional allocation of an estimated 6 MB
the input is raw data with 66 channels and 1086 trials
the call to "ft_selectdata" took 0 seconds and required the additional allocation of an estimated 0 MB
assuming that the data is EEG, use cfg.senstype to overrule this
Your data and configuration allow for multiple sensor definitions.
Warning: using electrodes specified in the configuration\n
There are 1 bad channels
There are 0 missing channels
Spherical spline and surface Laplacian interpolation will treat bad and missing channels the same. Missing channels will be concatenated at the end of your data structure.
Checking spherical fit... perfect spherical fit (residual: 0.0%)
computing weight matrix... done!

interpolating channels for 1086 trials ..............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
the call to "ft_channelrepair" took 2 seconds and required the additional allocation of an estimated 3 MB