------------------------------------------
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-015
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_pre1/mnt/beegfs/home/kosciessa/eegmp/eegmp_preproc/tools/fieldtrip/utilities/private/getdimord.m' at line 784
 In '/mnt/beegfs/home/kosciessa/.mcrCache9.1/a7_pre1/mnt/beegfs/home/kosciessa/eegmp/eegmp_preproc/tools/fieldtrip/utilities/private/getdimord.m' at line 734
 In '/mnt/beegfs/home/kosciessa/.mcrCache9.1/a7_pre1/mnt/beegfs/home/kosciessa/eegmp/eegmp_preproc/tools/fieldtrip/utilities/private/makessense.m' at line 41
 In '/mnt/beegfs/home/kosciessa/.mcrCache9.1/a7_pre1/mnt/beegfs/home/kosciessa/eegmp/eegmp_preproc/tools/fieldtrip/utilities/ft_datatype_raw.m' at line 90
 In '/mnt/beegfs/home/kosciessa/.mcrCache9.1/a7_pre1/mnt/beegfs/home/kosciessa/eegmp/eegmp_preproc/tools/fieldtrip/utilities/ft_checkdata.m' at line 277
 In '/mnt/beegfs/home/kosciessa/.mcrCache9.1/a7_pre1/mnt/beegfs/home/kosciessa/eegmp/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 513 MB
baseline correcting data 
scaling data with 1 over 178.474136
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 6 seconds and required the additional allocation of an estimated 1516 MB
removing 16 components
keeping 55 components
the call to "ft_selectdata" took 0 seconds and required the additional allocation of an estimated 1 MB
processing trials
processing trial 122 from 1200processing trial 240 from 1200processing trial 366 from 1200processing trial 493 from 1200processing trial 631 from 1200processing trial 788 from 1200processing trial 945 from 1200processing trial 1060 from 1200processing trial 1154 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 8 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 47 MB
preprocessing
preprocessing trial 5 from 1009preprocessing trial 109 from 1009preprocessing trial 248 from 1009preprocessing trial 386 from 1009preprocessing trial 516 from 1009preprocessing trial 647 from 1009preprocessing trial 784 from 1009preprocessing trial 915 from 1009preprocessing trial 1009 from 1009
the call to "ft_preprocessing" took 1 seconds and required the additional allocation of an estimated 48 MB
the call to "ft_selectdata" took 1 seconds and required the additional allocation of an estimated 4 MB
preprocessing
preprocessing trial 19 from 1009preprocessing trial 44 from 1009preprocessing trial 75 from 1009preprocessing trial 107 from 1009preprocessing trial 141 from 1009preprocessing trial 177 from 1009preprocessing trial 211 from 1009preprocessing trial 247 from 1009preprocessing trial 280 from 1009preprocessing trial 315 from 1009preprocessing trial 349 from 1009preprocessing trial 384 from 1009preprocessing trial 420 from 1009preprocessing trial 453 from 1009preprocessing trial 484 from 1009preprocessing trial 516 from 1009preprocessing trial 548 from 1009preprocessing trial 579 from 1009preprocessing trial 610 from 1009preprocessing trial 641 from 1009preprocessing trial 673 from 1009preprocessing trial 704 from 1009preprocessing trial 737 from 1009preprocessing trial 771 from 1009preprocessing trial 808 from 1009preprocessing trial 846 from 1009preprocessing trial 884 from 1009preprocessing trial 919 from 1009preprocessing trial 955 from 1009preprocessing trial 992 from 1009preprocessing trial 1009 from 1009
the call to "ft_preprocessing" took 4 seconds and required the additional allocation of an estimated 5 MB
the input is raw data with 66 channels and 1009 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 3 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 1009 trials .................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
the call to "ft_channelrepair" took 3 seconds and required the additional allocation of an estimated 3 MB