src.visualise.all_metrics_graphs

Code for generating plots that combine all performance success metrics

Functions

generate_all_metrics_plots(mds, output_dir)

Generates all plots in this file, with required arguments and inputs

Classes

BarPlotModelComparison(**kwargs)	Creates a barplot comparing criteria across models with a different number of predictors
BarPlotRegressionCoefficients(**kwargs)	Creates a barplot showing regression coefficients and confidence intervals for numerous multiple regression models
PairPlotAllVariables(**kwargs)	Creates an R-style paired plot, showing correlation and distribution of four variables (tempo slope, ioi variability, asynchrony rms, and subjective success).
PointPlotDuoStats(**kwargs)	Creates a pointplot showing bootstrapped mean for each level of latency and jitter predictor variables
PointPlotRepeatComparisons(**kwargs)	Creates a pointplot showing bootstrapped mean differences in variables across each experimental session.
RegPlotTestRetestReliability(df, **kwargs)
RegressionTableAllMetrics(df, output_dir)	Creates an R-style regression table for all performance success metrics.

src.visualise.all_metrics_graphs.generate_all_metrics_plots(mds: list[src.analyse.phase_correction_models.PhaseCorrectionModel], output_dir: str) → None

Generates all plots in this file, with required arguments and inputs