Man pages for dtplyr
Data Table Back-End for 'dplyr'
| arrange.dtplyr_step | Arrange rows by column values |
| collect.dtplyr_step | Force computation of a lazy data.table |
| complete.dtplyr_step | Complete a data frame with missing combinations of data |
| count.dtplyr_step | Count observations by group |
| distinct.dtplyr_step | Subset distinct/unique rows |
| dot-datatable.aware | dtplyr is data.table aware |
| drop_na.dtplyr_step | Drop rows containing missing values |
| dtplyr-package | dtplyr: Data Table Back-End for 'dplyr' |
| expand.dtplyr_step | Expand data frame to include all possible combinations of... |
| fill.dtplyr_step | Fill in missing values with previous or next value |
| filter.dtplyr_step | Subset rows using column values |
| group_by.dtplyr_step | Group and ungroup |
| group_modify.dtplyr_step | Apply a function to each group |
| head.dtplyr_step | Subset first or last rows |
| intersect.dtplyr_step | Set operations |
| lazy_dt | Create a "lazy" data.table for use with dplyr verbs |
| left_join.dtplyr_step | Join data tables |
| mutate.dtplyr_step | Create and modify columns |
| nest.dtplyr_step | Nest |
| pivot_longer.dtplyr_step | Pivot data from wide to long |
| pivot_wider.dtplyr_step | Pivot data from long to wide |
| relocate.dtplyr_step | Relocate variables using their names |
| rename.dtplyr_step | Rename columns using their names |
| replace_na.dtplyr_step | Replace NAs with specified values |
| select.dtplyr_step | Subset columns using their names |
| separate.dtplyr_step | Separate a character column into multiple columns with a... |
| slice.dtplyr_step | Subset rows using their positions |
| summarise.dtplyr_step | Summarise each group to one row |
| transmute.dtplyr_step | Create new columns, dropping old |
| unite.dtplyr_step | Unite multiple columns into one by pasting strings together. |
