List of supported functions • tidypolars

This document lists base R and tidyverse functions fully or partially supported by tidypolars. It complements the Reference page: the reference page shows data.frame-level functions while this page shows functions that can be used in filter(), mutate(), etc.

The “Notes” column highlights possible differences in the output of the original functions and of their translation by tidypolars.

Package	Function	Notes
`base`	`abs`
`base`	`acos`
`base`	`acosh`
`base`	`all`
`base`	`any`
`base`	`asin`
`base`	`asinh`
`base`	`as.character`
`base`	`as.Date`
`base`	`as.logical`
`base`	`as.numeric`
`base`	`atan`
`base`	`atanh`
`base`	`ceiling`
`base`	`cos`
`base`	`cosh`
`base`	`cummin`
`base`	`cummax`
`base`	`cumsum`
`base`	`diff`
`base`	`exp`
`base`	`floor`
`base`	`grepl`
`base`	`gsub`
`base`	`ifelse`
`base`	`ISOdatetime`	In `base`, when there is an overflow in some of the components (for example `hours = 25` or `month = 15`), then it returns `NA`. In Polars, this errors.
`base`	`length`
`base`	`log`
`base`	`log10`
`base`	`max`
`base`	`mean`
`base`	`min`
`base`	`nchar`
`base`	`paste0`
`base`	`paste`
`base`	`rank`
`base`	`rev`
`base`	`round`
`base`	`seq`
`base`	`seq_len`
`base`	`sin`
`base`	`sinh`
`base`	`sort`
`base`	`sqrt`
`base`	`strptime`
`base`	`substr`
`base`	`tan`
`base`	`tanh`
`base`	`tolower`
`base`	`toupper`
`base`	`unique`
`base`	`which.min`
`base`	`which.max`
`dplyr`	`between`
`dplyr`	`case_match`
`dplyr`	`case_when`
`dplyr`	`coalesce`
`dplyr`	`consecutive_id`
`dplyr`	`dense_rank`
`dplyr`	`first`
`dplyr`	`group_keys`
`dplyr`	`group_vars`
`dplyr`	`if_else`
`dplyr`	`lag`
`dplyr`	`lead`
`dplyr`	`last`
`dplyr`	`min_rank`
`dplyr`	`n`
`dplyr`	`near`	tidypolars errors if `x` and `y` have different lengths, dplyr doesn’t.
`dplyr`	`nth`
`dplyr`	`n_distinct`
`dplyr`	`recode_values`	The `dplyr` functions will error if the type of the replacement doesn’t match the type of the column (for instance trying to replace a character with an integer). This works in `tidypolars`.
`dplyr`	`replace_values`	The `dplyr` functions will error if the type of the replacement doesn’t match the type of the column (for instance trying to replace a character with an integer). This works in `tidypolars`.
`dplyr`	`replace_when`	The `dplyr` function will error if the type of the replacement doesn’t match the type of the column (for instance trying to replace a character with an integer). This sometimes works in `tidypolars`.
`dplyr`	`row_number`	Doesn’t work when `x` is missing.
`dplyr`	`when_all`	Arguments `na_rm` and `size` not supported.
`dplyr`	`when_any`	Arguments `na_rm` and `size` not supported.
`lubridate`	`am`	Contrarily to `lubridate`, this doesn’t work on dates, only datetimes.
`lubridate`	`day`
`lubridate`	`days`
`lubridate`	`days_in_month`
`lubridate`	`date`
`lubridate`	`ddays`
`lubridate`	`dhours`
`lubridate`	`dmilliseconds`
`lubridate`	`dminutes`
`lubridate`	`dseconds`
`lubridate`	`dweeks`
`lubridate`	`force_tz`	`tidypolars` cannot use several timezones in a single column, while `lubridate::force_tz()` can.
`lubridate`	`hours`
`lubridate`	`leap_year`
`lubridate`	`make_date`	In `lubridate`, when there is an overflow in some of the components (for example `hours = 25` or `month = 15`), then it is automatically converted to the higher unit (for example 1 day and 1h). In Polars, this errors.
`lubridate`	`make_datetime`	In `lubridate`, when there is an overflow in some of the components (for example `hours = 25` or `month = 15`), then it is automatically converted to the higher unit (for example 1 day and 1h). In Polars, this errors.
`lubridate`	`mday`
`lubridate`	`microseconds`
`lubridate`	`milliseconds`
`lubridate`	`minutes`
`lubridate`	`month`
`lubridate`	`nanoseconds`
`lubridate`	`now`
`lubridate`	`pm`	Contrarily to `lubridate`, this doesn’t work on dates, only datetimes.
`lubridate`	`quarter`
`lubridate`	`rollbackward`	While time zone handling should mimick the behaviour of `lubridate` in most cases, it is possible that Polars errors if rolling back/forward leads to am ambiguous datetime. It is also possible to have some differences in hours/minutes/seconds when converting between Polars and R.
`lubridate`	`rollback`	While time zone handling should mimick the behaviour of `lubridate` in most cases, it is possible that Polars errors if rolling back/forward leads to am ambiguous datetime. It is also possible to have some differences in hours/minutes/seconds when converting between Polars and R.
`lubridate`	`rollforward`	While time zone handling should mimick the behaviour of `lubridate` in most cases, it is possible that Polars errors if rolling back/forward leads to am ambiguous datetime. It is also possible to have some differences in hours/minutes/seconds when converting between Polars and R.
`lubridate`	`seconds`
`lubridate`	`today`
`lubridate`	`wday`	`week_start` must be an integer in `tidypolars`. If `label = TRUE`, it returns a string variable and not a factor as in `lubridate`.
`lubridate`	`weeks`
`lubridate`	`with_tz`	`tidypolars` cannot use several timezones in a single column, while `lubridate::with_tz()` can. Unrecognized timezones and/or NULL are not supported and will throw an error.
`lubridate`	`yday`
`lubridate`	`year`
`stats`	`median`
`stats`	`lag`
`stats`	`sd`
`stats`	`var`
`stringr`	`regex`
`stringr`	`str_count`
`stringr`	`str_detect`
`stringr`	`str_dup`
`stringr`	`str_ends`
`stringr`	`str_equal`
`stringr`	`str_extract`
`stringr`	`str_extract_all`
`stringr`	`str_length`
`stringr`	`str_pad`
`stringr`	`str_remove`
`stringr`	`str_remove_all`
`stringr`	`str_replace`
`stringr`	`str_replace_all`
`stringr`	`str_replace_na`
`stringr`	`str_split`
`stringr`	`str_split_i`
`stringr`	`str_squish`
`stringr`	`str_starts`
`stringr`	`str_sub`
`stringr`	`str_trim`
`stringr`	`str_to_lower`
`stringr`	`str_to_title`	Letters following apostrophe will be capitalized as well, which differs from the `stringr` implementation.
`stringr`	`str_to_upper`
`stringr`	`str_trunc`
`stringr`	`word`
`tidyr`	`replace_na`
`tools`	`toTitleCase`	Letters following apostrophe will be capitalized as well, which differs from the `tools` implementation.