An Implementation of Ordinal Pattern Analysis
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Documentation for package ‘opa’ version 0.8.1
Help Pages
| compare_conditions | Calculates PCCs and c-values based on pairwise comparison of conditions. |
| compare_groups | Calculate the c-value of the difference in PCCs produced by two groups |
| compare_hypotheses | Calculate the c-value of the difference in PCCs produced by two hypotheses |
| cval_plot | Plot individual chance values |
| group_results | Group-level PCC and chance values. |
| individual_results | Individual-level PCC and chance values. |
| opa | Fit an ordinal pattern analysis model |
| pcc_plot | Plot individual PCCs. |
| plot.opafit | Plots individual-level PCCs and chance-values. |
| plot_hypothesis | Plot a hypothesis. |
| print.opafit | Displays the call used to fit an ordinal pattern analysis model. |
| print.pairwiseopafit | Displays the results of a pairwise ordinal pattern analysis. |
| summary.opafit | Prints a summary of results from a fitted ordinal pattern analysis model. |