A Poor Man's Base R Copy of 'dplyr' Verbs


[Up] [Top]

Documentation for package ‘poorman’ version 0.2.1

Help Pages

%>% Forward-pipe operator
add_count Count observations by group
add_tally Count observations by group
all_of Select Helpers
anti_join Filtering joins filter rows from 'x' based on the presence or absence of matches in 'y':
any_of Select Helpers
arrange Arrange rows by variables
between Do values in a numeric vector fall in specified range?
coalesce Find first non-missing element
contains Select Helpers
context Context dependent expressions
count Count observations by group
cume_dist Windowed Rank Functions
cur_data Context dependent expressions
cur_group Context dependent expressions
cur_group_id Context dependent expressions
cur_group_rows Context dependent expressions
dense_rank Windowed Rank Functions
desc Descending order
distinct Subset distinct/unique rows
ends_with Select Helpers
everything Select Helpers
filter Return rows with matching conditions
filter_joins Filtering joins filter rows from 'x' based on the presence or absence of matches in 'y':
full_join Join two data.frames together
glimpse Get a glimpse of your data
groups Grouping metadata
group_by Group by one or more variables
group_data Grouping metadata
group_indices Grouping metadata
group_keys Split data.frame by groups
group_metadata Grouping metadata
group_rows Grouping metadata
group_size Grouping metadata
group_split Split data.frame by groups
group_vars Grouping metadata
if_else Vectorised if
inner_join Join two data.frames together
joins Join two data.frames together
lag Compute lagged or leading values
last_col Select Helpers
lead Compute lagged or leading values
left_join Join two data.frames together
matches Select Helpers
min_rank Windowed Rank Functions
mutate Create or transform variables
n Context dependent expressions
na_if Convert values to NA
near Compare two numeric vectors
ntile Windowed Rank Functions
num_range Select Helpers
n_distinct Count the number of unique values in a set of vectors
n_groups Grouping metadata
peek_vars Peek at variables in the selection context
percent_rank Windowed Rank Functions
pipe Forward-pipe operator
pull Pull out a single variable
recode Recode values
recode_factor Recode values
relocate Select/relocate variables by name
rename Rename columns
replace_na Replace missing values
right_join Join two data.frames together
rownames Tools for working with row names
rownames_to_column Tools for working with row names
row_number Windowed Rank Functions
select Select/relocate variables by name
select_helpers Select Helpers
semi_join Filtering joins filter rows from 'x' based on the presence or absence of matches in 'y':
slice Subset rows by position
slice_head Subset rows by position
slice_max Subset rows by position
slice_min Subset rows by position
slice_sample Subset rows by position
slice_tail Subset rows by position
starts_with Select Helpers
summarise Reduce multiple values down to a single value
summarize Reduce multiple values down to a single value
tally Count observations by group
transmute Create or transform variables
ungroup Group by one or more variables
where Select variables with a function
window_rank Windowed Rank Functions