across | Apply a function across a selection of columns |
across. | Apply a function across a selection of columns |
add_count | Add a count column to the data frame |
add_count. | Add a count column to the data frame |
add_tally. | Add a count column to the data frame |
anti_join. | Join two data.tables together |
arrange | Arrange/reorder rows |
arrange. | Arrange/reorder rows |
arrange_across. | Arrange by a selection of variables |
as_tidytable | Coerce an object to a data.table/tidytable |
between | Do the values from x fall between the left and right bounds? |
between. | Do the values from x fall between the left and right bounds? |
bind_cols | Bind data.tables by row and column |
bind_cols. | Bind data.tables by row and column |
bind_rows. | Bind data.tables by row and column |
c_across | Combine values from multiple columns |
c_across. | Combine values from multiple columns |
case | 'data.table::fcase()' with vectorized default |
case. | 'data.table::fcase()' with vectorized default |
case_match | Vectorized 'switch()' |
case_match. | Vectorized 'switch()' |
case_when | Case when |
case_when. | Case when |
coalesce | Coalesce missing values |
coalesce. | Coalesce missing values |
complete | Complete a data.table with missing combinations of data |
complete. | Complete a data.table with missing combinations of data |
consecutive_id | Generate a unique id for consecutive values |
consecutive_id. | Generate a unique id for consecutive values |
context | Context functions |
count | Count observations by group |
count. | Count observations by group |
crossing | Create a data.table from all unique combinations of inputs |
crossing. | Create a data.table from all unique combinations of inputs |
cross_join | Cross join |
cur_column. | Context functions |
cur_data. | Context functions |
cur_group_id. | Context functions |
cur_group_rows. | Context functions |
desc | Descending order |
desc. | Descending order |
distinct | Select distinct/unique rows |
distinct. | Select distinct/unique rows |
drop_na | Drop rows containing missing values |
drop_na. | Drop rows containing missing values |
dt | Pipeable data.table call |
enframe | Convert a vector to a data.table/tidytable |
enframe. | Convert a vector to a data.table/tidytable |
expand | Expand a data.table to use all combinations of values |
expand. | Expand a data.table to use all combinations of values |
expand_grid | Create a data.table from all combinations of inputs |
expand_grid. | Create a data.table from all combinations of inputs |
extract | Extract a character column into multiple columns using regex |
extract. | Extract a character column into multiple columns using regex |
fill | Fill in missing values with previous or next value |
fill. | Fill in missing values with previous or next value |
filter | Filter rows on one or more conditions |
filter. | Filter rows on one or more conditions |
first | Extract the first, last, or nth value from a vector |
first. | Extract the first, last, or nth value from a vector |
fread | Read/write files |
fread. | Read/write files |
full_join. | Join two data.tables together |
fwrite. | Read/write files |
get_dummies | Convert character and factor columns to dummy variables |
get_dummies. | Convert character and factor columns to dummy variables |
group_by | Grouping |
group_by. | Grouping |
group_cols | Selection helper for grouping columns |
group_split | Split data frame by groups |
group_split. | Split data frame by groups |
group_vars | Get the grouping variables |
group_vars. | Get the grouping variables |
if_all | Create conditions on a selection of columns |
if_all. | Create conditions on a selection of columns |
if_any. | Create conditions on a selection of columns |
if_else | Fast if_else |
if_else. | Fast if_else |
ifelse. | Fast ifelse |
inner_join. | Join two data.tables together |
in-notin | Fast '%in%' and %notin% operators |
inv_gc | Run invisible garbage collection |
is_grouped_df | Check if the tidytable is grouped |
is_grouped_df. | Check if the tidytable is grouped |
is_tidytable | Test if the object is a tidytable |
lag | Get lagging or leading values |
lags. | Get lagging or leading values |
last. | Extract the first, last, or nth value from a vector |
leads. | Get lagging or leading values |
left_join | Join two data.tables together |
left_join. | Join two data.tables together |
map | Apply a function to each element of a vector or list |
map. | Apply a function to each element of a vector or list |
map2. | Apply a function to each element of a vector or list |
map2_chr. | Apply a function to each element of a vector or list |
map2_dbl. | Apply a function to each element of a vector or list |
map2_df. | Apply a function to each element of a vector or list |
map2_dfc. | Apply a function to each element of a vector or list |
map2_dfr. | Apply a function to each element of a vector or list |
map2_int. | Apply a function to each element of a vector or list |
map2_lgl. | Apply a function to each element of a vector or list |
map_chr. | Apply a function to each element of a vector or list |
map_dbl. | Apply a function to each element of a vector or list |
map_df. | Apply a function to each element of a vector or list |
map_dfc. | Apply a function to each element of a vector or list |
map_dfr. | Apply a function to each element of a vector or list |
map_int. | Apply a function to each element of a vector or list |
map_lgl. | Apply a function to each element of a vector or list |
mutate | Add/modify/delete columns |
mutate. | Add/modify/delete columns |
mutate_across. | Mutate multiple columns simultaneously |
mutate_rowwise | Add/modify columns by row |
mutate_rowwise. | Add/modify columns by row |
n | Number of observations in each group |
n. | Number of observations in each group |
na_if | Convert values to 'NA' |
na_if. | Convert values to 'NA' |
n_distinct | Count the number of unique values in a vector |
n_distinct. | Count the number of unique values in a vector |
nest | Nest data.tables |
nest. | Nest data.tables |
nest_by | Nest data.tables |
nest_by. | Nest data.tables |
nesting. | Expand a data.table to use all combinations of values |
nest_join | Nest join |
new_tidytable | Create a tidytable from a list |
nth. | Extract the first, last, or nth value from a vector |
pick | Selection version of 'across()' |
pipe | Pipe operator |
pivot_longer | Pivot data from wide to long |
pivot_longer. | Pivot data from wide to long |
pivot_wider | Pivot data from long to wide |
pivot_wider. | Pivot data from long to wide |
pmap. | Apply a function to each element of a vector or list |
pmap_chr. | Apply a function to each element of a vector or list |
pmap_dbl. | Apply a function to each element of a vector or list |
pmap_df. | Apply a function to each element of a vector or list |
pmap_dfc. | Apply a function to each element of a vector or list |
pmap_dfr. | Apply a function to each element of a vector or list |
pmap_int. | Apply a function to each element of a vector or list |
pmap_lgl. | Apply a function to each element of a vector or list |
pull | Pull out a single variable |
pull. | Pull out a single variable |
rank | Ranking functions |
recode | Recode values |
reexports | Objects exported from other packages |
relocate | Relocate a column to a new position |
relocate. | Relocate a column to a new position |
rename | Rename variables by name |
rename. | Rename variables by name |
rename_with | Rename multiple columns |
rename_with. | Rename multiple columns |
replace_na | Replace missing values |
replace_na. | Replace missing values |
right_join. | Join two data.tables together |
row_number. | Ranking functions |
rowwise | Convert to a rowwise tidytable |
rowwise. | Convert to a rowwise tidytable |
select | Select or drop columns |
select. | Select or drop columns |
semi_join. | Join two data.tables together |
separate | Separate a character column into multiple 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_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 |
slice. | Choose rows in a data.table |
slice_head. | Choose rows in a data.table |
slice_max. | Choose rows in a data.table |
slice_min. | Choose rows in a data.table |
slice_sample. | Choose rows in a data.table |
slice_tail. | Choose rows in a data.table |
summarise. | Aggregate data using summary statistics |
summarize | Aggregate data using summary statistics |
summarize. | Aggregate data using summary statistics |
summarize_across. | Summarize multiple columns |
tally. | Count observations by group |
tidytable | Build a data.table/tidytable |
tidytable-vctrs | Internal vctrs methods |
top_n | Select top (or bottom) n rows (by value) |
top_n. | Select top (or bottom) n rows (by value) |
transmute | Add new variables and drop all others |
transmute. | Add new variables and drop all others |
uncount | Uncount a data.table |
uncount. | Uncount a data.table |
ungroup. | Grouping |
unite | Unite multiple columns by pasting strings together |
unite. | Unite multiple columns by pasting strings together |
unnest | Unnest list-columns |
unnest. | Unnest list-columns |
unnest_longer | Unnest a list-column of vectors into regular 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 |
unnest_wider. | Unnest a list-column of vectors into a wide data frame |
walk. | Apply a function to each element of a vector or list |
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