Usage

Pre-requisites:

• obtain smr files, 1 file per trial (h5 work, can skip step 1 if you have these)
• obtain csv files with swing & stance times (sometimes these are referred to as phase files)
• set up directory structure with the trial data

Steps:

• convert smr to h5 with batch_convert.py
  • input which directories you want processed
  • creates h5 sub directories
• in locoproc environment, use locoproc repository to correct knee angle based on tibia & femur lengths
• in virtual environment for locomotion-analysis, run 'run_everything.py'

Explanation of run_everything.py:

1. run step_table_initialize.py on each group
   • input directory containing h5 files
   • input directory containing csv files (phase files)
   • see "About step_table"
   • default statistics calculated in table for each step:
     • step duration
     • stance duration
     • swing duration
2. animal_avgs
   • calculates avg stats for each trial
3. group_comparison
   • calculate stats on the avgs
   • calculate stats ANOVA