T = [...
2
29.42 149.92 120.5;...
3
377.23 617.73 240.5;...
4
793.69 914.19 120.5;...
1
1089.87 1270.4 180.53;...
5
NaN
NaN
NaN;...
6
1767.45 1887.95 120.5;...
7
1993.49 2113.99 120.5;...
8
2409.29 2529.79 120.5;...
9
2717.56 2898.06 180.5;...
10
NaN
NaN NaN;...
11
NaN
NaN NaN;...
12
NaN
NaN NaN];
timing
type |
raw
data files |
timing
files |
result
files |
timed
value export |
(usually
large) raw data files that were processed as a
whole |
timing
files were not used
during processing, but are now used for value
extraction for each defined segment |
one result
file per raw data file, named '*00.mat' to denote that raw data
files were processed as a whole |
timed
rawdata files |
(usually
small) raw data files that were processed as a
whole, but already contain only data segments of interest |
timing
files were not used
during processing and are not used for
value extraction; one value per channel is extracted for each
file |
one result file per raw data file, named '*00.mat' to denote that raw data files were processed as a whole |
timed
analysis segments |
(usually
large) raw data files that were processed
segment by segment |
timing
files were used during
processing to edit only defined segments and create one result
file for each segment; timing files are not used
for value extraction; |
multiple
result files (one for each segment) per raw data file, named
according to the segment number (e.g. '01.mat') |
You also need to select which type of values you wish to
export. The mean across the defined interval is the standard
recommended option. You can however also choose to export the
standard deviation, the root-mean-square successive difference, and
linear, quadratic and cubic regression
information (coefficients and
residuals), minimum and maximum. For each value type a separate
text file will be saved
(except when using the database format, see below). Note that this
dialog is not effective for icg and spectral data export, as only one
parameter for each segment is available.
The data arrangement in the export file can be selected from the
data arrangement dropdown box. Database format (the default option,
which can be used among others for Excel
Pivottables) will arrange data such that only one combination of File,
Segment and Channel per line is listed, multiple parameters
(e.g. mean, std and linear regression-values) are listed in the same
row. The other arrangements are data tables, the string
before the vertical line determining what varies across the rows of the
data table, the strings on the right denoting the nesting of the column
ordering, with the hierarchically higher factor before the forward
slash.
For the databaseformat, you can also have
ANSLAB add Subject# and Run# information, taken from the
filename, in the database: this can for instance be useful, if you do
not have one large segmented datafile
for each subject, but still wish to analyze multiple files for each
subject as repeated measurements. Using Microsoft Excel pivottables,
you can then rearrange the data of multiple files in one row (as needed
by Statistica or SPSS).
Last, for the database output format, you can choose to supply a text
file with covariates to be incorporated in the data export to save you
the work of
generating the covariate information in the database manually. This
file must be a tab-delimited text file containing one header row. The
first column must be the subject number, all other columns are treated
as covariates.
Start the value extraction with the menuitem \Calculate\statistics export\extended
value export (mat) .
Starting with anslab2.4, the extended value export is the recommended option. However, the former dialog based export is still available with the \Calculate\statistics export\value export (mat) command and will set the above options based on dialog questions on the ANSLAB command window. Please note that this value export will always export the standard set of parameters - you cannot enable or disable signals separately.