Code and Data

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Code

• tidy_data.py | Tidies both csv files into pd df (refer to the data section)

• ecdfs.py | Two ecdf functions

• controls.py | All non-plotting functions in determining whether unlabeled vs labled were comparable

• parameter_estimates.py | All non-plotting functions to maximize mle for alpha/ beta and beta_1/beta_2 for gamma and two-story distributions, respectively

• viz_controls.py | Unlabeled vs labeled visualization

• viz_explore_two_arrival_story.py | Get graphical intuition about two arrival story

• viz_parameter_estimates.py | Visualize parameter estimates (conf ints and corner plot conf ints)

• viz_explore_concentration_datset.py | Exploratory; visualize all the different concentrations and catastrophe time

• viz_model_comparison.py | Graphs (predictive ecdfs, qq plots) for gamma vs two-events

• viz_concentration_effects.py | Visualization of beta vs alpha changes when concentration changes

• viz_dashboard.py | Interactive dashboard with concentration, alpha, and beta selection for catastrophe times

Data Sets

• Labeled vs unlabeled DIC catastrophe times | (filetype: .csv)(5 KB)

• Labeled tubulin, concentration and catastrophe times | (filetype: .csv)(11 KB)