| as | As("summaryTransition", "data.frame") |
| ba_analysis | Perform Bland-Altman analysis on a data frame |
| ba_plot | Create a Bland-Altman plot |
| bout_mvpa | Classify moderate-to-vigorous physical activity in bouts of a specific minimum length |
| cvd_risk | Calculate risk of cardiovascular disease |
| cvd_risk.data.frame | Calculate risk of cardiovascular disease |
| cvd_risk.default | Calculate risk of cardiovascular disease |
| descriptives | Compute descriptive statistics for a variable in the metabolic data set |
| df_continuous | Check if a dataframe is continuous |
| df_reorder | Reorder the columns of a data frame |
| epoch_length_sec | Determine epoch length in seconds |
| ex_data | Example data for calculating bouts of moderate-to-vigorous physical activity |
| full_days | Drop incomplete days from a dataset |
| get_age | Calculate age |
| get_bmr | Retrieve estimated basal metabolic rate for an individual |
| get_duration | Printing and timing utility for managing processes |
| get_indices | Retrieve indices for a rolling window analysis |
| get_intensity | Classify activity intensity |
| get_kcal_vo2_conversion | Retrieve conversion factors from kilocalories to oxygen consumption |
| get_ree | Calculate resting energy expenditure |
| index_runs | Run length encoding with indices |
| manage_procedure | Printing and timing utility for managing processes |
| mean_sd | Compute the mean and standard deviation of a vector, returning a formatted string containing the values as 'M +/- SD' |
| mean_sd.data.frame | Compute the mean and standard deviation of a vector, returning a formatted string containing the values as 'M +/- SD' |
| mean_sd.default | Compute the mean and standard deviation of a vector, returning a formatted string containing the values as 'M +/- SD' |
| paired_equivalence_test | Perform equivalence testing on paired samples |
| paired_equivalence_test.data.frame | Perform equivalence testing on paired samples |
| paired_equivalence_test.default | Perform equivalence testing on paired samples |
| PAutilities | PAutilities: Streamline Physical Activity Research |
| plot.paired_equivalence | Plot the outcome of a paired equivalence test |
| plot.spurious_curve | Plot a spurious curve |
| plot.transition | Plot the transitions and matchings from a 'transition' object |
| residual_adjust | Perform residual adjustment on an epidemiologic variable |
| rmr_sliding | Calculate resting metabolic rate using a sliding window method |
| rolling_groups | Loop along a vector, returning n elements at a time in a list |
| shaded_equivalence_plot | Plot the outcome of a paired equivalence test |
| spurious_curve | Perform a spurious curve analysis |
| summaryTransition | An S4 class containing summary information about a 'transition' object |
| summaryTransition-class | An S4 class containing summary information about a 'transition' object |
| test_errors | Compare numeric variables in a data frame based on root-squared differences |
| unshaded_equivalence_plot | Plot the outcome of a paired equivalence test |
| weight_status | Determine weight status from body mass index |
| weir_equation | Calculate energy expenditure using the Weir equation |