Browse Over Longitudinal Data Graphically and Analytically in R
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Documentation for package ‘brolgar’ version 1.0.1
Help Pages
| 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) |