Tidy Verbs for Fast Data Manipulation


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Documentation for package ‘tidyfst’ version 0.9.9

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add_count_dt Count observations by group
anti_join_dt Join tables
arrange_dt Arrange entries in data.frame
as_dt Short cut to data.table
as_fst Save a data.frame as a fst table
chop_dt Nest and unnest
col_rn Tools for working with row names
complete_dt Complete a data frame with missing combinations of data
count_dt Count observations by group
cummean Cumulative mean
delete_na_cols Dump, replace and fill missing values in data.frame
delete_na_rows Dump, replace and fill missing values in data.frame
df_mat Conversion between tidy table and named matrix
distinct_dt Select distinct/unique rows in data.frame
drop_na_dt Dump, replace and fill missing values in data.frame
dummy_dt Fast creation of dummy variables
export_fst Read and write fst files
fill_na_dt Dump, replace and fill missing values in data.frame
filter_dt Filter entries in data.frame
filter_fst Parse,inspect and extract data.table from fst file
fst Parse,inspect and extract data.table from fst file
full_join_dt Join tables
group_by_dt Group by variable(s) and implement operations
group_dt Data manipulation within groups
group_exe_dt Group by variable(s) and implement operations
import_fst Read and write fst files
impute_dt Impute missing values with mean, median or mode
inner_join_dt Join tables
intersect_dt Set operations for data frames
in_dt Short cut to data.table
join Join tables
lag_dt Fast lead/lag for vectors
lead_dt Fast lead/lag for vectors
left_join_dt Join tables
longer_dt Pivot data from wide to long
mat_df Conversion between tidy table and named matrix
mutate_dt Mutate columns in data.frame
mutate_vars Conditional update of columns in data.table
mutate_when Conditional update of columns in data.table
nest_dt Nest and unnest
nth Extract the nth value from a vector
object_size Nice printing of report the Space Allocated for an Object
parse_fst Parse,inspect and extract data.table from fst file
print_options Set global printing method for data.table
pull_dt Pull out a single variable
rec Recode number or strings
rec_char Recode number or strings
rec_num Recode number or strings
relocate_dt Change column order
rename_dt Rename column in data.frame
rename_with_dt Rename column in data.frame
replace_dt Fast value replacement in data frame
replace_na_dt Dump, replace and fill missing values in data.frame
right_join_dt Join tables
rn_col Tools for working with row names
rowwise_dt Data manipulation within groups
sample_dt Sample rows randomly from a table
sample_frac_dt Sample rows randomly from a table
sample_n_dt Sample rows randomly from a table
select_dt Select column from data.frame
select_fst Parse,inspect and extract data.table from fst file
select_mix Select column from data.frame
semi_join_dt Join tables
separate_dt Separate a character column into two columns using a regular expression separator
setdiff_dt Set operations for data frames
setequal_dt Set operations for data frames
shift_fill Dump, replace and fill missing values in data.frame
slice_dt Subset rows using their positions
slice_fst Parse,inspect and extract data.table from fst file
slice_head_dt Subset rows using their positions
slice_max_dt Subset rows using their positions
slice_min_dt Subset rows using their positions
slice_sample_dt Subset rows using their positions
slice_tail_dt Subset rows using their positions
squeeze_dt Nest and unnest
summarise_dt Summarise columns to single values
summarise_vars Summarise columns to single values
summarise_when Summarise columns to single values
summarize_dt Summarise columns to single values
summarize_vars Summarise columns to single values
summarize_when Summarise columns to single values
summary_fst Parse,inspect and extract data.table from fst file
sys_time_print Convenient print of time taken
top_dt Select top (or bottom) n rows (by value)
top_frac_dt Select top (or bottom) n rows (by value)
top_n_dt Select top (or bottom) n rows (by value)
transmute_dt Mutate columns in data.frame
t_dt Efficient transpose of data.frame
unchop_dt Nest and unnest
uncount_dt "Uncount" a data frame
union_dt Set operations for data frames
unite_dt Unite multiple columns into one by pasting strings together
unnest_dt Nest and unnest
utf8_encoding Use UTF-8 for character encoding in a data frame
wider_dt Pivot data from long to wide