Package: m61r 0.0.3
m61r: Package About Data Manipulation in Pure Base R
Data manipulation in one package and in base R. Minimal. No dependencies. 'dplyr' and 'tidyr'-like in one place. Nothing else than base R to build the package.
Authors:
m61r_0.0.3.tar.gz
m61r_0.0.3.zip(r-4.5)m61r_0.0.3.zip(r-4.4)m61r_0.0.3.zip(r-4.3)
m61r_0.0.3.tgz(r-4.4-any)m61r_0.0.3.tgz(r-4.3-any)
m61r_0.0.3.tar.gz(r-4.5-noble)m61r_0.0.3.tar.gz(r-4.4-noble)
m61r_0.0.3.tgz(r-4.4-emscripten)m61r_0.0.3.tgz(r-4.3-emscripten)
m61r.pdf |m61r.html✨
m61r/json (API)
# Install 'm61r' in R: |
install.packages('m61r', repos = c('https://pv71u98h1.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pv71u98h1/m61r/issues
Last updated 1 months agofrom:19d42820d0. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 16 2024 |
R-4.5-win | OK | Nov 16 2024 |
R-4.5-linux | OK | Nov 16 2024 |
R-4.4-win | OK | Nov 16 2024 |
R-4.4-mac | OK | Nov 16 2024 |
R-4.3-win | OK | Nov 16 2024 |
R-4.3-mac | OK | Nov 16 2024 |
Exports:anti_joinanti_join_arrange_desange_expression_filter_full_joinfull_join_gather_group_by_inner_joininner_join_left_joinleft_join_m61rmodify_<-mutate_right_joinright_join_select_semi_joinsemi_join_spread_summarise_transmutate_value_
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Arrange your data.frames | arrange_ desange_ |
Formula to be run on a data.frame given a group | expression_ |
filter a data.frame | filter_ |
group_by a data.frame by chosen columns | group_by_ |
Join two data.frames | anti_join_ full_join_ inner_join_ left_join_ right_join_ semi_join_ |
Create m61r object | anti_join as.data.frame.m61r cbind.m61r dim.m61r full_join inner_join left_join m61r names.m61r print.m61r rbind.m61r right_join semi_join [.m61r [<-.m61r |
Mutate and transmutate a data.frame | mutate_ transmutate_ |
Reshape a data.frame | gather_ spread_ |
select columns of a data.frame | select_ |
Summarise formula on groups | summarise_ |
get or assign a value to a data.frame | modify_<- value_ |