R: Fast and Memory Efficient Data Operations in Tidy Syntax

# Fast and Memory Efficient Data Operations in Tidy Syntax

## Documentation for package ‘tidyft’ version 0.9.20

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

add_count | Count observations by group
anti_join | Join tables
arrange | Arrange entries in data.frame
as_fst | Save a data.frame as a fst table
chop | Nest and unnest
complete | Complete a data frame with missing combinations of data
count | Count observations by group
cummean | Cumulative mean
delete_na | Drop or delete data by rows or columns
df_mat | Conversion between tidy table and named matrix
distinct | Select distinct/unique rows in data.table
drop_na | Drop or delete data by rows or columns
dummy | Fast creation of dummy variables
export_fst | Read and write fst files
fill | Fill in missing values with previous or next value
filter | 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 | Join tables
groups | Group by one or more variables
group_by | Group by one or more variables
group_exe | Group by one or more variables
import_fst | Read and write fst files
inner_join | Join tables
lag | Fast lead/lag for vectors
lead | Fast lead/lag for vectors
left_join | Join tables
longer | Pivot data between long and wide
mat_df | Conversion between tidy table and named matrix
mutate | Create or transform variables
mutate_vars | Create or transform variables
mutate_when | Create or transform variables
nest | 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
pull | Pull out a single variable
read_csv | Convenient file reader
relocate | Change column order
rename | Select/rename variables by name
replace_vars | Fast value replacement in data frame
right_join | Join tables
rowwise_mutate | Computation by rows
rowwise_summarise | Computation by rows
select | Select/rename variables by name
select_dt | Select/rename variables by name
select_fst | Parse,inspect and extract data.table from fst file
select_mix | Select/rename variables by name
select_vars | Select/rename variables by name
semi_join | Join tables
separate | Separate a character column into two columns using a regular expression separator
shift_fill | Fill in missing values with previous or next value
slice | Subset rows using their positions
slice_fst | Parse,inspect and extract data.table from fst file
slice_head | Subset rows using their positions
slice_max | Subset rows using their positions
slice_min | Subset rows using their positions
slice_sample | Subset rows using their positions
slice_tail | Subset rows using their positions
squeeze | Nest and unnest
summarise | Summarise columns to single values
summarise_vars | Summarise columns to single values
summarise_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
transmute | Create or transform variables
unchop | Nest and unnest
uncount | "Uncount" a data frame
ungroup | Group by one or more variables
unite | Unite multiple columns into one by pasting strings together
unnest | Nest and unnest
utf8_encoding | Use UTF-8 for character encoding in a data frame
wider | Pivot data between long and wide