All of the logic is contained within SCRAnalyzer.py. It can either be downloaded directly from https://github.com/jclangst/SCRAnalyzer
or cloned via git clone https://github.com/jclangst/SCRAnalyzer.git if you are familiar with git.
It has a single dependency, numpy that can be installed by running:
pip install numpy
or
python -m pip install numpy (if the above does not work)
Execute the file from a bash shell (terminal) as such:
python SCRAnalyzer.py [input_files] [output_directory] [other_args]
Running with -h or --help will show you the supported arguments and their functionality.
For example, if you wanted to process a single file p_1_SCRlist_TTP.txt and output the results to the
current directory, you would run the program as
python SCRAnalyzer.py p_1_SCRlist_TTP.txt .
If you wanted to also process p_2_SCRlist_TTP.txt, you could execute
python SCRAnalyzer.py p_1_SCRlist_TTP.txt p_2_SCRlist_TTP.txt .
If you wanted to process an entire directory of files, you could use the unix glob expander
python SCRAnalyzer.py SOME_DIR/p_*_SCRlist_*.txt .
Note: There are many checks to ensure valid input data. By default the program will terminate
if it detects invalid input. You can override this behavior and simply skip the invalid input
(if processing multiple input files) by using the -s flag. However, warning messages will still
be displayed.
The input file is expected to have the following parameters:
(1) The data is contained in a tab-delineated .txt file with two columns;
(2) The first column represents SCR-Onset and the second represents SCR-Amplitude;
(3) The first row contains column headers and will be ignored;
(4) All subsequent rows contain the sampled data;
(5) The input files must be named according to this convention:
p_[TCID #]_SCRlist_[Type].txt
The TCID # and Type are extracted and used in the program, hence the strict naming
requirement. Currently, only CDA and TTP types are supported.
The output file will have the following format:
(1) The data will be contained in a comma-delineated txt file according to its Type (see above).
CDA=SCRSummary_CDA.txtTTP=SCRSummary_TTP.txt
These files can be found in the directory specified as an input argument.
(2) The file will contain summary statistics about the input data underneath a header specifying the summary statistics generated. If processing multiple files, each TCID will have a unique row.
(3) The program can be run multiple times and point to the same output files. New data will be appended to the old output data. If output data with a particular TCID already exists, the program will throw an error to ensure that the old TCID data is NOT overwritten.