| across | Apply a function across a selection of columns |
| add_count | Add a count column to the data frame |
| arrange | Arrange/reorder rows |
| as_tidytable | Coerce an object to a data.table/tidytable |
| between | Do the values from x fall between the left and right bounds? |
| bind_cols | Bind data.tables by row and column |
| c_across | Combine values from multiple columns |
| case | 'data.table::fcase()' with vectorized default |
| case_match | Vectorized 'switch()' |
| case_when | Case when |
| coalesce | Coalesce missing values |
| complete | Complete a data.table with missing combinations of data |
| consecutive_id | Generate a unique id for consecutive values |
| context | Context functions |
| count | Count observations by group |
| crossing | Create a data.table from all unique combinations of inputs |
| cross_join | Cross join |
| desc | Descending order |
| distinct | Select distinct/unique rows |
| drop_na | Drop rows containing missing values |
| dt | Pipeable data.table call |
| enframe | Convert a vector to a data.table/tidytable |
| expand | Expand a data.table to use all combinations of values |
| expand_grid | Create a data.table from all combinations of inputs |
| extract | Extract a character column into multiple columns using regex |
| fill | Fill in missing values with previous or next value |
| filter | Filter rows on one or more conditions |
| first | Extract the first, last, or nth value from a vector |
| fread | Read/write files |
| get_dummies | Convert character and factor columns to dummy variables |
| group_by | Grouping |
| group_cols | Selection helper for grouping columns |
| group_split | Split data frame by groups |
| group_vars | Get the grouping variables |
| if_all | Create conditions on a selection of columns |
| if_else | Fast if_else |
| in-notin | Fast '%in%' and %notin% operators |
| inv_gc | Run invisible garbage collection |
| is_grouped_df | Check if the tidytable is grouped |
| is_tidytable | Test if the object is a tidytable |
| lag | Get lagging or leading values |
| left_join | Join two data.tables together |
| map | Apply a function to each element of a vector or list |
| mutate | Add/modify/delete columns |
| mutate_rowwise | Add/modify columns by row |
| n | Number of observations in each group |
| na_if | Convert values to 'NA' |
| n_distinct | Count the number of unique values in a vector |
| nest | Nest columns into a list-column |
| nest_by | Nest data.tables |
| nest_join | Nest join |
| new_tidytable | Create a tidytable from a list |
| pick | Selection version of 'across()' |
| pipe | Pipe operator |
| pivot_longer | Pivot data from wide to long |
| pivot_wider | Pivot data from long to wide |
| pull | Pull out a single variable |
| rank | Ranking functions |
| recode | Recode values |
| reexports | Objects exported from other packages |
| reframe | Reframe a data frame |
| relocate | Relocate a column to a new position |
| rename | Rename variables by name |
| rename_with | Rename multiple columns |
| replace_na | Replace missing values |
| rowwise | Convert to a rowwise tidytable |
| select | Select or drop columns |
| separate | Separate a character column into multiple columns |
| separate_longer_delim | Split a string into rows |
| separate_rows | Separate a collapsed column into multiple rows |
| separate_wider_delim | Separate a character column into multiple columns |
| separate_wider_regex | Separate a character column into multiple columns using regex... |
| slice | Choose rows in a data.table |
| summarize | Aggregate data using summary statistics |
| tidytable | Build a data.table/tidytable |
| tidytable-vctrs | Internal vctrs methods |
| top_n | Select top (or bottom) n rows (by value) |
| transmute | Add new variables and drop all others |
| tribble | Rowwise tidytable creation |
| uncount | Uncount a data.table |
| unite | Unite multiple columns by pasting strings together |
| unnest | Unnest list-columns |
| unnest_longer | Unnest a list-column of vectors into regular columns |
| unnest_wider | Unnest a list-column of vectors into a wide data frame |
