------------------------------------------
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-027
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 517 MB
baseline correcting data 
scaling data with 1 over 169.635712
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 1526 MB
removing 22 components
keeping 49 components
the call to "ft_selectdata" took 0 seconds and required the additional allocation of an estimated 1 MB
processing trials
processing trial 121 from 1200processing trial 254 from 1200processing trial 414 from 1200processing trial 576 from 1200processing trial 737 from 1200processing trial 892 from 1200processing trial 1022 from 1200processing trial 1113 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 46 MB
preprocessing
preprocessing trial 2 from 1047preprocessing trial 103 from 1047preprocessing trial 244 from 1047preprocessing trial 382 from 1047preprocessing trial 525 from 1047preprocessing trial 671 from 1047preprocessing trial 818 from 1047preprocessing trial 962 from 1047preprocessing trial 1047 from 1047
the call to "ft_preprocessing" took 1 seconds and required the additional allocation of an estimated 46 MB
the call to "ft_selectdata" took 1 seconds and required the additional allocation of an estimated 4 MB
preprocessing
preprocessing trial 29 from 1047preprocessing trial 63 from 1047preprocessing trial 101 from 1047preprocessing trial 138 from 1047preprocessing trial 176 from 1047preprocessing trial 213 from 1047preprocessing trial 249 from 1047preprocessing trial 285 from 1047preprocessing trial 321 from 1047preprocessing trial 359 from 1047preprocessing trial 396 from 1047preprocessing trial 434 from 1047preprocessing trial 470 from 1047preprocessing trial 506 from 1047preprocessing trial 542 from 1047preprocessing trial 579 from 1047preprocessing trial 615 from 1047preprocessing trial 652 from 1047preprocessing trial 689 from 1047preprocessing trial 727 from 1047preprocessing trial 765 from 1047preprocessing trial 802 from 1047preprocessing trial 838 from 1047preprocessing trial 876 from 1047preprocessing trial 914 from 1047preprocessing trial 948 from 1047preprocessing trial 986 from 1047preprocessing trial 1013 from 1047preprocessing trial 1035 from 1047preprocessing trial 1047 from 1047
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 1047 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 2 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 1047 trials .......................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
the call to "ft_channelrepair" took 2 seconds and required the additional allocation of an estimated 3 MB