Simple Functions to Save Time and Memory

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Documentation for package ‘cheapr’ version 0.9.0

• DESCRIPTION file.
• Package NEWS.

Help Pages

cheapr-package	cheapr: Simple Functions to Save Time and Memory
%!in_%	Extra utilities
%in_%	Extra utilities
all_na	Efficient functions for dealing with missing values.
any_na	Efficient functions for dealing with missing values.
cheapr	cheapr: Simple Functions to Save Time and Memory
col_all_na	Efficient functions for dealing with missing values.
col_any_na	Efficient functions for dealing with missing values.
col_na_counts	Efficient functions for dealing with missing values.
count_val	Count the number of occurrences of a value.
cut_numeric	Extra utilities
deframe_	Extra utilities
enframe_	Extra utilities
factor_	A faster version of 'factor()'
gcd	Greatest common divisor and smallest common multiple
gcd2	Greatest common divisor and smallest common multiple
intersect_	Extra utilities
is_na	Efficient functions for dealing with missing values.
is_na.data.frame	Efficient functions for dealing with missing values.
is_na.default	Efficient functions for dealing with missing values.
is_na.POSIXlt	Efficient functions for dealing with missing values.
is_na.vctrs_rcrd	Efficient functions for dealing with missing values.
lag_	Lagged operations.
lag_sequence	Utilities for creating many sequences
lead_sequence	Utilities for creating many sequences
lengths_	List utilities
levels_factor	A faster version of 'factor()'
na_rm	Extra utilities
new_list	List utilities
num_na	Efficient functions for dealing with missing values.
overview	An alternative to 'summary()' inspired by the skimr package
overview.character	An alternative to 'summary()' inspired by the skimr package
overview.data.frame	An alternative to 'summary()' inspired by the skimr package
overview.Date	An alternative to 'summary()' inspired by the skimr package
overview.default	An alternative to 'summary()' inspired by the skimr package
overview.factor	An alternative to 'summary()' inspired by the skimr package
overview.logical	An alternative to 'summary()' inspired by the skimr package
overview.numeric	An alternative to 'summary()' inspired by the skimr package
overview.POSIXt	An alternative to 'summary()' inspired by the skimr package
overview.ts	An alternative to 'summary()' inspired by the skimr package
overview.zoo	An alternative to 'summary()' inspired by the skimr package
row_all_na	Efficient functions for dealing with missing values.
row_any_na	Efficient functions for dealing with missing values.
row_na_counts	Efficient functions for dealing with missing values.
scm	Greatest common divisor and smallest common multiple
scm2	Greatest common divisor and smallest common multiple
sequence_	Utilities for creating many sequences
seq_	Utilities for creating many sequences
seq_id	Utilities for creating many sequences
seq_size	Utilities for creating many sequences
setdiff_	Extra utilities
set_abs	Math operations by reference - *Experimental*
set_add	Math operations by reference - *Experimental*
set_ceiling	Math operations by reference - *Experimental*
set_change_sign	Math operations by reference - *Experimental*
set_divide	Math operations by reference - *Experimental*
set_exp	Math operations by reference - *Experimental*
set_floor	Math operations by reference - *Experimental*
set_log	Math operations by reference - *Experimental*
set_multiply	Math operations by reference - *Experimental*
set_pow	Math operations by reference - *Experimental*
set_round	Math operations by reference - *Experimental*
set_sqrt	Math operations by reference - *Experimental*
set_subtract	Math operations by reference - *Experimental*
set_trunc	Math operations by reference - *Experimental*
sset	Cheaper subset
sset.data.frame	Cheaper subset
sset.data.table	Cheaper subset
sset.Date	Cheaper subset
sset.factor	Cheaper subset
sset.POSIXct	Cheaper subset
sset.POSIXlt	Cheaper subset
sset.sf	Cheaper subset
sset.tbl_df	Cheaper subset
unlisted_length	List utilities
unused_levels	A faster version of 'factor()'
used_levels	A faster version of 'factor()'
which_	Memory-efficient alternative to 'which()'
which_na	Efficient functions for dealing with missing values.
which_not_na	Efficient functions for dealing with missing values.
window_sequence	Utilities for creating many sequences