BRowse Over Longitudinal data Graphically and Analytically in R

add_n_obs | Add the number of observations for each key in a 'tsibble' |

brolgar | brolgar |

b_summaries | Brolgar summaries (b_summaries) |

facet_sample | Facet data into groups to facilitate exploration |

facet_strata | Facet data into groups to facilitate exploration |

feat_brolgar | Feature: Three number summary |

feat_five_num | Feature: Five number summary |

feat_monotonic | Feature: Monotonics |

feat_ranges | Feature: Ranges |

feat_spread | Feature: Spread |

heights | World Height Data |

key_slope | Fit linear model for each key |

keys_near | Return keys nearest to a given statistics or summary. |

l_funs | A named list of the five number summary |

monotonic | Are values monotonic? Always increasing, decreasing, or... |

near_between | Return x percent to y percent of values |

nearests | Is x nearest to y? |

near_middle | Return the middle x percent of values |

near_quantile | Which values are nearest to any given quantiles |

n_obs | Return the number of observations |

pipe | Pipe operator |

reexports | Objects exported from other packages |

sample-n-frac-keys | Sample a number or fraction of keys to explore |

stratify_keys | Stratify the keys into groups to facilitate exploration |

wages | Wages data from National Longitudinal Survey of Youth (NLSY) |

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