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 |