elife_2019 Analysis and plotting scripts for behavioral experiments in Sullivan, Warren, and Doe 2019 Author of Repository: Timothy L. Warren, timlwarren AT gmail

Files in this Repository: All to be implemented in Python 2.7

(1) write_elife_repo_csv.py

This was used to write raw data files (in original acquisition format) to csv format for Dryad repository.

(2) raw_analysis.py

This does initial analysis on raw data.

USAGE 
python raw_analysis.py raw_data_range.txt

COMMENTS
Loads distributed raw data files within this date range, does analysis, saves .pck (pickle) files for each
data file.
Raw data are archived in csv files a Dryad repository: doi:10.5061/dryad.45177sc
However, this script is not designed to run on those csv files but on original experimental files.
I plan to write a new version of this script to run on Dryad files. Also, I can share raw experimental files.

(3) raw_data_range.txt

Example of file format used by raw_analysis.py

(4) processed_analysis.py

This does further analysis on data already analyzed by raw_analysis.py

USAGE
python processed_analysis.py processed_data_range.txt

COMMENTS
Data processing of .pck files created by raw_analysis.py. Calculates summary data for different experimental types. Saves a .pck file. A version of that .pck file is in repository: summary_data.pck

(5) processed_date_range.txt

Example of file format used by processed_analysis.py

(6) plot_data.py

Makes plots used in paper. Loads summary .pck file (eg. 'summary_data.pck'). Saves plots as .svg files.

USAGE
python plot_data.py