Package: poorman 0.2.7

poorman: A Poor Man's Dependency Free Recreation of 'dplyr'

A replication of key functionality from 'dplyr' and the wider 'tidyverse' using only 'base'.

Authors:Nathan Eastwood [aut, cre], Etienne Bacher [ctb]

poorman_0.2.7.tar.gz
poorman_0.2.7.zip(r-4.7)poorman_0.2.7.zip(r-4.6)poorman_0.2.7.zip(r-4.5)
poorman_0.2.7.tgz(r-4.6-any)poorman_0.2.7.tgz(r-4.5-any)
poorman_0.2.7.tar.gz(r-4.7-any)poorman_0.2.7.tar.gz(r-4.6-any)
poorman_0.2.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
poorman/json (API)

# Install 'poorman' in R:

install.packages('poorman', repos = c('https://nathaneastwood.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/nathaneastwood/poorman/issues

Pkgdown/docs site:https://nathaneastwood.github.io

On CRAN:

base-r data-manipulation grammar

10.82 score 350 stars 26 packages 160 scripts 7.6k downloads 104 exports 0 dependencies

Last updated from:a5313242b3. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	101
source / vignettes	OK	152
linux-release-x86_64	OK	128
macos-release-arm64	OK	149
macos-oldrel-arm64	OK	135
windows-devel	OK	76
windows-release	OK	90
windows-oldrel	OK	74
wasm-release	OK	89

Exports:%>%across add_count add_tally all_of anti_join any_of arrange between bind_cols bind_rows case_when coalesce column_to_rownames contains count cumall cumany cume_dist cummean cur_column cur_data cur_data_all cur_group cur_group_id cur_group_rows dense_rank desc distinct ends_with everything fill filter first full_join glimpse group_by group_by_drop_default group_cols group_data group_indices group_keys group_rows group_size group_split group_vars groups has_rownames if_all if_any if_else inner_join lag last last_col lead left_join lst matches min_rank mutate n n_distinct n_groups na_if near nest_by nth ntile num_range peek_vars percent_rank pivot_longer pivot_wider pull recode recode_factor relocate remove_rownames rename rename_with replace_na right_join row_number rowid_to_column rownames_to_column select semi_join slice slice_head slice_max slice_min slice_sample slice_tail starts_with summarise summarize tally transmute ungroup union_all unite where with_groups

Dependencies:

Frequently Asked Questions

What Is {poorman}? | So What Does {poorman} Include? | Why Develop {poorman}? | But Why Not Just Use {dplyr}? | Why The Name {poorman}? | Why Not Use {data.table} For The Backend? | But Doesn't {poorman} Have Dependencies? | How Does {poorman} Compare In Terms Of Speed?

Rendered fromfaq.Rmdusingknitr::rmarkdown

Last update: 2020-10-11
Started: 2020-08-02

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Apply a function (or functions) across multiple columns	across if_all if_any
Arrange rows by variables	arrange
Do values in a numeric vector fall in specified range?	between
Efficiently bind multiple 'data.frame's by row and column	bind bind_cols bind_rows
A General Vetorised if()	case_when
Find first non-missing element	coalesce
Context dependent expressions	context cur_column cur_data cur_data_all cur_group cur_group_id cur_group_rows n
Count observations by group	add_count add_tally count tally
Cumulative versions of any, all, and mean	cumall cumany cummean
Descending order	desc
Subset distinct/unique rows	distinct
Fill in missing values with previous or next value	fill
Return rows with matching conditions	filter
Filtering joins filter rows from 'x' based on the presence or absence of matches in 'y':	anti_join filter_joins semi_join
Get a glimpse of your data	glimpse
Group by one or more variables	group_by ungroup
Default value for .drop argument of group_by	group_by_drop_default
Select Grouping Variables	group_cols
Grouping metadata	groups group_data group_indices group_metadata group_rows group_size group_vars n_groups
Split data.frame by groups	group_keys group_split
Vectorised if	if_else
Compute lagged or leading values	lag lead
Build a list	lst
Create or transform variables	mutate mutate.data.frame transmute
Mutating Joins	full_join inner_join left_join mutate_joins right_join
Count the number of unique values in a set of vectors	n_distinct
Convert values to NA	na_if
Compare two numeric vectors	near
Nest By	nest_by
Extract the first, last or nth value from a vector	first last nth
Peek at variables in the selection context	peek_vars
Forward-pipe operator	%>% pipe
Pivot data from wide to long	pivot_longer
Pivot data from long to wide	pivot_wider
Pull out a single variable	pull
Recode values	recode recode_factor
Change column order	relocate
Rename columns	rename rename_with
Replace missing values	replace_na
Tools for working with row names	column_to_rownames has_rownames remove_rownames rowid_to_column rownames rownames_to_column
Subset columns using their names and types	select
Select Helpers	all_of any_of contains ends_with everything last_col matches num_range select_helpers starts_with
Subset rows by position	slice slice_head slice_max slice_min slice_sample slice_tail
Reduce multiple values down to a single value	summarise summarize
Union All	union_all
Unite Multiple Columns Into One	unite
Select variables with a function	where
Windowed Rank Functions	cume_dist dense_rank min_rank ntile percent_rank row_number window_rank
Perform an operation with temporary groups	with_groups