File tree Expand file tree Collapse file tree 1 file changed +84
-0
lines changed
recipes/recipes_emscripten/r-tidyr Expand file tree Collapse file tree 1 file changed +84
-0
lines changed Original file line number Diff line number Diff line change 1+ context :
2+ version : 1.3.1
3+ name : r-tidyr
4+ r_base_version : 4.4.2
5+
6+ source :
7+ url :
8+ - https://cran.r-project.org/src/contrib/${{ name[2:] }}_${{ version }}.tar.gz
9+ - https://cloud.r-project.org/src/contrib/${{ name[2:] }}_${{ version }}.tar.gz
10+ sha256 : e820c261cb5543f572f49276a7bdc7302aa4215da4bf850b1b939a315353835d
11+
12+ build :
13+ number : 0
14+ script : $R CMD INSTALL $R_ARGS --no-byte-compile .
15+
16+ outputs :
17+ - package :
18+ name : ${{ name }}
19+ version : ${{ version }}
20+ build :
21+ files :
22+ - lib/R/library/${{ name[2:] }}/*
23+ requirements :
24+ build :
25+ - cross-r-base >= ${{ r_base_version }}
26+ - ${{ compiler('c') }}
27+ - r-dplyr
28+ - r-magrittr
29+ - r-purrr
30+ - r-rlang
31+ - r-tibble
32+ - r-vctrs
33+ host :
34+ - r-base >= ${{ r_base_version }}
35+ - r-cli
36+ - r-dplyr
37+ - r-glue
38+ - r-lifecycle
39+ - r-magrittr
40+ - r-purrr
41+ - r-rlang
42+ - r-stringr
43+ - r-tibble
44+ - r-tidyselect
45+ - r-vctrs
46+ - r-cpp11
47+ run :
48+ - r-base >= ${{ r_base_version }}
49+ - r-cli
50+ - r-dplyr
51+ - r-glue
52+ - r-lifecycle
53+ - r-magrittr
54+ - r-purrr
55+ - r-rlang
56+ - r-stringr
57+ - r-tibble
58+ - r-tidyselect
59+ - r-vctrs
60+ - r-cpp11
61+
62+ tests :
63+ - package_contents :
64+ lib :
65+ - R/library/${{ name[2:] }}/libs/${{ name[2:] }}.so
66+
67+ about :
68+ homepage : https://tidyr.tidyverse.org
69+ repository : https://github.com/tidyverse/tidyr
70+ license : MIT
71+ license_file : LICENSE
72+ summary : Tidy Messy Data
73+ description : |
74+ Tools to help to create tidy data, where each column is a variable, each
75+ row is an observation, and each cell contains a single value. 'tidyr'
76+ contains tools for changing the shape (pivoting) and hierarchy (nesting and
77+ 'unnesting') of a dataset, turning deeply nested lists into rectangular data
78+ frames ('rectangling'), and extracting values out of string columns. It
79+ also includes tools for working with missing values (both implicit and
80+ explicit).
81+
82+ extra :
83+ recipe-maintainers :
84+ - IsabelParedes
You can’t perform that action at this time.
0 commit comments