add_key_slope | Fit linear model for each key |

add_key_slope.default | Fit linear model for each key |

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

brolgar-features | Calculate features of a 'tsibble' object in conjunction with 'features()' |

b_diff_iqr | Brolgar summaries (b_summaries) |

b_diff_max | Brolgar summaries (b_summaries) |

b_diff_mean | Brolgar summaries (b_summaries) |

b_diff_median | Brolgar summaries (b_summaries) |

b_diff_min | Brolgar summaries (b_summaries) |

b_diff_q25 | Brolgar summaries (b_summaries) |

b_diff_q75 | Brolgar summaries (b_summaries) |

b_diff_sd | Brolgar summaries (b_summaries) |

b_diff_var | Brolgar summaries (b_summaries) |

b_iqr | Brolgar summaries (b_summaries) |

b_mad | Brolgar summaries (b_summaries) |

b_max | Brolgar summaries (b_summaries) |

b_mean | Brolgar summaries (b_summaries) |

b_median | Brolgar summaries (b_summaries) |

b_min | Brolgar summaries (b_summaries) |

b_q25 | Brolgar summaries (b_summaries) |

b_q75 | Brolgar summaries (b_summaries) |

b_range | Brolgar summaries (b_summaries) |

b_range_diff | Brolgar summaries (b_summaries) |

b_sd | Brolgar summaries (b_summaries) |

b_summaries | Brolgar summaries (b_summaries) |

b_var | Brolgar summaries (b_summaries) |

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

facet_sample | Facet data into groups to facilitate exploration |

facet_strata | Facet data into groups to facilitate exploration |

feat_brolgar | Calculate features of a 'tsibble' object in conjunction with 'features()' |

feat_diff_summary | Calculate features of a 'tsibble' object in conjunction with 'features()' |

feat_five_num | Calculate features of a 'tsibble' object in conjunction with 'features()' |

feat_monotonic | Calculate features of a 'tsibble' object in conjunction with 'features()' |

feat_ranges | Calculate features of a 'tsibble' object in conjunction with 'features()' |

feat_spread | Calculate features of a 'tsibble' object in conjunction with 'features()' |

feat_three_num | Calculate features of a 'tsibble' object in conjunction with 'features()' |

heights | World Height Data |

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

index_regular | Index summaries |

index_regular.data.frame | Index summaries |

index_regular.tbl_ts | Index summaries |

index_summary | Index summaries |

index_summary.data.frame | Index summaries |

index_summary.tbl_ts | Index summaries |

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

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

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

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

key_slope | Fit linear model for each key |

l_five_num | A named list of the five number summary |

l_funs | A named list of the five number summary |

l_three_num | A named list of the five number summary |

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

nearests | Is x nearest to y? |

nearest_lgl | Is x nearest to y? |

nearest_qt_lgl | Is x nearest to y? |

near_between | Return x percent to y percent of values |

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 |

pisa | Student data from 2000-2018 PISA OECD data |

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

sample_frac_keys | Sample a number or fraction of keys to explore |

sample_n_keys | Sample a number or fraction of keys to explore |

stratify_keys | Stratify the keys into groups to facilitate exploration |

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

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