A B C D E F G H I L M N Q R S T U W Y misc
| timeplyr-package | timeplyr: Fast Tidy Tools for Date and Date-Time Manipulation |
| add_calendar | Create a table of common time units from a date or datetime sequence. |
| add_group_id | Fast group IDs |
| add_group_order | Fast group IDs |
| add_row_id | Fast group IDs |
| age_months | Accurate and efficient age calculation |
| age_years | Accurate and efficient age calculation |
| arithmetic_mean | Unweighted & weighted arithmetic, geometric and harmonic mean |
| asc | Helpers to sort variables in ascending or descending order |
| bottom_n | Top N most/least frequent values |
| bottom_n_tbl | Top N most/least frequent values |
| calendar | Create a table of common time units from a date or datetime sequence. |
| cpp_which | Efficient alternative to 'which()' |
| crossed_join | A 'do.call()' and 'data.table::CJ()' method |
| desc | Helpers to sort variables in ascending or descending order |
| diff_ | Fast rolling grouped lags and differences |
| duplicate_rows | Find duplicate rows |
| edf | Grouped empirical cumulative distribution function applied to data |
| fadd_count | A fast replacement to dplyr::count() |
| farrange | A 'collapse' version of 'dplyr::arrange()' |
| fcomplete | Fast versions of 'tidyr::expand()' and 'tidyr::complete()'. |
| fcount | A fast replacement to dplyr::count() |
| fcummean | Supplementary fast statistical functions, 'collapse' style |
| fdistinct | Find distinct rows |
| fduplicates | Find duplicate rows |
| fduplicates2 | Find duplicate rows |
| fexpand | Fast versions of 'tidyr::expand()' and 'tidyr::complete()'. |
| fgroup_by | 'collapse' version of 'dplyr::group_by()' |
| fn | Supplementary fast statistical functions, 'collapse' style |
| fnmiss | Supplementary fast statistical functions, 'collapse' style |
| fprop_complete | Supplementary fast statistical functions, 'collapse' style |
| fprop_missing | Supplementary fast statistical functions, 'collapse' style |
| frename | Fast 'dplyr::select()'/'dplyr::rename()' |
| frowid | Fast grouped row numbers |
| fselect | Fast 'dplyr::select()'/'dplyr::rename()' |
| fskim | Fast alternative to 'skimr::skim()' |
| fslice | Faster 'dplyr::slice()' |
| fslice_head | Faster 'dplyr::slice()' |
| fslice_max | Faster 'dplyr::slice()' |
| fslice_min | Faster 'dplyr::slice()' |
| fslice_sample | Faster 'dplyr::slice()' |
| fslice_tail | Faster 'dplyr::slice()' |
| gcd | Greatest common divisor and smallest common multiple |
| gcd_diff | Greatest common divisor and smallest common multiple |
| gduplicated | Grouped 'unique()', 'sort()' and 'duplicated()' |
| geometric_mean | Unweighted & weighted arithmetic, geometric and harmonic mean |
| get_time_delay | Get summary statistics of time delay |
| gfirst | Grouped statistical functions. |
| glast | Grouped statistical functions. |
| gmax | Grouped statistical functions. |
| gmean | Grouped statistical functions. |
| gmedian | Grouped statistical functions. |
| gmin | Grouped statistical functions. |
| gmode | Grouped statistical functions. |
| gnobs | Grouped statistical functions. |
| gorder | Grouped 'unique()', 'sort()' and 'duplicated()' |
| groups_equal | Are groups equal? |
| group_collapse | Key group information |
| group_id | Fast group IDs |
| group_order | Fast group IDs |
| growth | Rolling basic growth |
| growth_rate | Fast Growth Rates |
| gsd | Grouped statistical functions. |
| gsort | Grouped 'unique()', 'sort()' and 'duplicated()' |
| gsum | Grouped statistical functions. |
| gunique | Grouped 'unique()', 'sort()' and 'duplicated()' |
| gvar | Grouped statistical functions. |
| gwhich_duplicated | Grouped 'unique()', 'sort()' and 'duplicated()' |
| harmonic_mean | Unweighted & weighted arithmetic, geometric and harmonic mean |
| isoday | Efficient, simple and flexible ISO week calculation |
| iso_week | Efficient, simple and flexible ISO week calculation |
| is_date | Utility functions for checking if date or datetime |
| is_datetime | Utility functions for checking if date or datetime |
| is_time | Utility functions for checking if date or datetime |
| is_time_or_num | Utility functions for checking if date or datetime |
| is_whole_number | Are all numbers whole numbers? |
| lag_ | Fast rolling grouped lags and differences |
| lag_seq | Fast rolling grouped lags and differences |
| lag_sequence | Utilities for creating useful sequences |
| lead_ | Fast rolling grouped lags and differences |
| lead_sequence | Utilities for creating useful sequences |
| lump_bottom_n | Top N most/least frequent values |
| lump_top_n | Top N most/least frequent values |
| missing_dates | Check for missing dates between first and last date |
| num_na | Fast number of missing values |
| n_missing_dates | Check for missing dates between first and last date |
| q_summarise | Fast grouped quantile summary |
| rolling_growth | Rolling basic growth |
| roll_apply | By-group rolling functions |
| roll_diff | Fast rolling grouped lags and differences |
| roll_geometric_mean | Fast by-group rolling functions |
| roll_growth_rate | Fast by-group rolling functions |
| roll_harmonic_mean | Fast by-group rolling functions |
| roll_lag | Fast rolling grouped lags and differences |
| roll_mean | Fast by-group rolling functions |
| roll_na_fill | Fast grouped "locf" 'NA' fill |
| roll_sum | Fast by-group rolling functions |
| row_id | Fast group IDs |
| scm | Greatest common divisor and smallest common multiple |
| sequence2 | Utilities for creating useful sequences |
| seq_id | Utilities for creating useful sequences |
| seq_size | Utilities for creating useful sequences |
| seq_v | Utilities for creating useful sequences |
| stat_summarise | Fast grouped statistical summary for data frames. |
| timeplyr | timeplyr: Fast Tidy Tools for Date and Date-Time Manipulation |
| time_aggregate | Aggregate time to a higher unit |
| time_breaks | Cut dates and datetimes into regularly spaced date or datetime intervals |
| time_by | Group by a time variable at a higher time unit |
| time_by_span | Group by a time variable at a higher time unit |
| time_by_units | Group by a time variable at a higher time unit |
| time_by_var | Group by a time variable at a higher time unit |
| time_complete | A time based extension to 'tidyr::complete()'. |
| time_completev | Vector date and datetime functions |
| time_count | Fast count time at higher time units. |
| time_countv | Vector date and datetime functions |
| time_cut | Cut dates and datetimes into regularly spaced date or datetime intervals |
| time_diff | Time differences by any time unit |
| time_diff_gcd | Fast greatest common divisor of time differences |
| time_distinct | A time based extension to 'dplyr::distinct()'. |
| time_elapsed | Fast grouped time elapsed |
| time_episodes | Episodic calculation of time-since-event data |
| time_expand | A time based extension to 'tidyr::complete()'. |
| time_expandv | Vector date and datetime functions |
| time_gaps | Gaps in a regular time sequence |
| time_ggplot | Quick time-series ggplot |
| time_has_gaps | Gaps in a regular time sequence |
| time_id | Time ID |
| time_is_regular | Is time a regular sequence? (Experimental) |
| time_lag | Time-lagged values |
| time_mutate | A time based extension to 'dplyr::mutate()'. |
| time_num_gaps | Gaps in a regular time sequence |
| time_roll_apply | Fast time-based by-group rolling sum/mean - Currently experimental |
| time_roll_diff | Lagged time differences |
| time_roll_growth_rate | Fast time-based by-group rolling sum/mean - Currently experimental |
| time_roll_mean | Fast time-based by-group rolling sum/mean - Currently experimental |
| time_roll_sum | Fast time-based by-group rolling sum/mean - Currently experimental |
| time_roll_window | Fast time-based by-group rolling sum/mean - Currently experimental |
| time_roll_window_size | Fast time-based by-group rolling sum/mean - Currently experimental |
| time_seq | Time based version of 'base::seq()' |
| time_seq_id | Generate a unique identifier for a regular time sequence with gaps |
| time_seq_sizes | Time based version of 'base::seq()' |
| time_seq_v | Time based version of 'base::seq()' |
| time_seq_v2 | Time based version of 'base::seq()' |
| time_span | Vector date and datetime functions |
| time_span_size | Vector date and datetime functions |
| time_summarise | A time based extension to 'dplyr::summarise()' |
| time_summarisev | Vector date and datetime functions |
| top_n | Top N most/least frequent values |
| top_n_tbl | Top N most/least frequent values |
| ts_as_tibble | Turn 'ts' into a 'tibble' |
| ts_as_tibble.default | Turn 'ts' into a 'tibble' |
| ts_as_tibble.mts | Turn 'ts' into a 'tibble' |
| ts_as_tibble.timeSeries | Turn 'ts' into a 'tibble' |
| ts_as_tibble.xts | Turn 'ts' into a 'tibble' |
| ts_as_tibble.zoo | Turn 'ts' into a 'tibble' |
| unit_guess | Guess time unit and extract basic information. |
| window_sequence | Utilities for creating useful sequences |
| year_month | Fast methods for creating year-months and year-quarters |
| year_quarter | Fast methods for creating year-months and year-quarters |
| YM | Fast methods for creating year-months and year-quarters |
| YQ | Fast methods for creating year-months and year-quarters |
| .duration_units | Time units |
| .extra_time_units | Time units |
| .period_units | Time units |
| .roll_na_fill | Fast grouped "locf" 'NA' fill |
| .stat_fns | Fast grouped statistical summary for data frames. |
| .time_units | Time units |