{ "_id": "6a10265facfb0bcc41c8f67f", "Package": "PAutilities", "Type": "Package", "Title": "Streamline Physical Activity Research", "Version": "1.3.0", "Authors@R": "c(\nperson(\nc(\"Paul\", \"R.\"), \"Hibbing\", email = \"paulhibbing@gmail.com\",\nrole = c(\"aut\",\"cre\")),\nperson(\n\"Centers for Disease Control and Prevention\", role = \"ctb\"))", "Description": "Functions that support a broad range of common tasks in\nphysical activity research, including but not limited to\ncreation of Bland-Altman plots\n(), metabolic calculations such\nas basal metabolic rate predictions\n(),\ndemographic calculations such as age-for-body-mass-index\npercentile (),\nand analysis of bout detection algorithm performance\n().", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "URL": "https://github.com/paulhibbing/PAutilities", "BugReports": "https://github.com/paulhibbing/PAutilities/issues", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://paulhibbing.r-universe.dev", "Date/Publication": "2026-03-14 17:44:45 UTC", "RemoteUrl": "https://github.com/paulhibbing/pautilities", "RemoteRef": "HEAD", "RemoteSha": "bf4c74602dce8b4be8ac7f12222783f8d4eedc00", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-13 09:03:55 UTC", "User": "root" }, "Author": "Paul R. 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"reintegrate", "residual_adjust", "rmr_sliding", "rolling_groups", "spurious_curve", "test_errors", "weight_status", "weir_equation" ], "_datasets": [ { "name": "ex_data", "title": "Example data for calculating bouts of moderate-to-vigorous physical activity", "object": "ex_data", "class": [ "data.frame" ], "fields": [ "FileID", "Date", "Time", "DateTime", "dayofyear", "minofday", "Axis1", "Axis2", "Axis3", "Steps", "Vector.Magnitude", "METs" ], "rows": 10080, "table": true, "tojson": true } ], "_help": [ { "page": "as", "title": "As(\"summaryTransition\", \"data.frame\")", "concept": [ "summaryTransition" ], "topics": [ "as" ] }, { "page": "ba_analysis", "title": "Perform Bland-Altman analysis on a data frame", "topics": [ "ba_analysis" ] }, { "page": "ba_plot", "title": "Create a Bland-Altman plot", "topics": [ "ba_plot" ] }, { "page": "bout_mvpa", "title": "Classify moderate-to-vigorous physical activity in bouts of a specific minimum length", "topics": [ "bout_mvpa" ] }, { "page": "cvd_risk", "title": "Calculate risk of cardiovascular disease", "topics": [ "cvd_risk", "cvd_risk.data.frame", "cvd_risk.default" ] }, { "page": "descriptives", "title": "Compute descriptive statistics for a variable in the metabolic data set", "topics": [ "descriptives" ] }, { "page": "df_continuous", "title": "Check if a dataframe is continuous", "topics": [ "df_continuous" ] }, { "page": "df_reorder", "title": "Reorder the columns of a data frame", "topics": [ "df_reorder" ] }, { "page": "epoch_length_sec", "title": "Determine epoch length in seconds", "topics": [ "epoch_length_sec" ] }, { "page": "ex_data", "title": "Example data for calculating bouts of moderate-to-vigorous physical activity", "topics": [ "ex_data" ] }, { "page": "full_days", "title": "Drop incomplete days from a dataset", "topics": [ "full_days" ] }, { "page": "get_age", "title": "Calculate age", "topics": [ "get_age" ] }, { "page": "get_bmr", "title": "Retrieve estimated basal metabolic rate for an individual", "topics": [ "get_bmr" ] }, { "page": "get_indices", "title": "Retrieve indices for a rolling window analysis", "topics": [ "get_indices" ] }, { "page": "get_intensity", "title": "Classify activity intensity", "topics": [ "get_intensity" ] }, { "page": "get_kcal_vo2_conversion", "title": "Retrieve conversion factors from kilocalories to oxygen consumption", "topics": [ "get_kcal_vo2_conversion" ] }, { "page": "get_ree", "title": "Calculate resting energy expenditure", "topics": [ "get_ree" ] }, { "page": "index_runs", "title": "Run length encoding with indices", "topics": [ "index_runs" ] }, { "page": "manage_procedure", "title": "Printing and timing utility for managing processes", "topics": [ "get_duration", "manage_procedure" ] }, { "page": "mean_sd", "title": "Compute the mean and standard deviation of a vector, returning a formatted string containing the values as `M +/- SD`", "topics": [ "mean_sd", "mean_sd.data.frame", "mean_sd.default" ] }, { "page": "paired_equivalence_test", "title": "Perform equivalence testing on paired samples", "topics": [ "paired_equivalence_test", "paired_equivalence_test.data.frame", "paired_equivalence_test.default" ] }, { "page": "PAutilities", "title": "PAutilities: Streamline Physical Activity Research", "topics": [ "PAutilities-package", "PAutilities" ] }, { "page": "plot.paired_equivalence", "title": "Plot the outcome of a paired equivalence test", "topics": [ "plot.paired_equivalence", "shaded_equivalence_plot", "unshaded_equivalence_plot" ] }, { "page": "plot.spurious_curve", "title": "Plot a spurious curve", "topics": [ "plot.spurious_curve" ] }, { "page": "plot.transition", "title": "Plot the transitions and matchings from a 'transition' object", "topics": [ "plot.transition" ] }, { "page": "reintegrate", "title": "Reintegrate accelerometer data", "topics": [ "reintegrate" ] }, { "page": "residual_adjust", "title": "Perform residual adjustment on an epidemiologic variable", "topics": [ "residual_adjust" ] }, { "page": 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