Package: dataMojo 1.0.0
dataMojo: Reshape Data Table
A grammar of data manipulation with 'data.table', providing a consistent a series of utility functions that help you solve the most common data manipulation challenges.
Authors:
dataMojo_1.0.0.tar.gz
dataMojo_1.0.0.zip(r-4.5)dataMojo_1.0.0.zip(r-4.4)dataMojo_1.0.0.zip(r-4.3)
dataMojo_1.0.0.tgz(r-4.4-any)dataMojo_1.0.0.tgz(r-4.3-any)
dataMojo_1.0.0.tar.gz(r-4.5-noble)dataMojo_1.0.0.tar.gz(r-4.4-noble)
dataMojo_1.0.0.tgz(r-4.4-emscripten)dataMojo_1.0.0.tgz(r-4.3-emscripten)
dataMojo.pdf |dataMojo.html✨
dataMojo/json (API)
# Install 'dataMojo' in R: |
install.packages('dataMojo', repos = c('https://jienagu.r-universe.dev', 'https://cloud.r-project.org')) |
- dt_dates - Anonymized sample data
- dt_groups - Anonymized sample data
- dt_long - Anonymized sample data
- dt_missing - Anonymized sample data
- dt_values - Anonymized sample data
- starwars_simple - Starwars data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:a615d91ec4. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 12 2024 |
R-4.5-win | OK | Nov 12 2024 |
R-4.5-linux | OK | Nov 12 2024 |
R-4.4-win | OK | Nov 12 2024 |
R-4.4-mac | OK | Nov 12 2024 |
R-4.3-win | OK | Nov 12 2024 |
R-4.3-mac | OK | Nov 12 2024 |
Exports:col_cal_percentdt_group_byfill_NA_withfilter_allfilter_all_atfilter_anyfilter_any_atget_row_group_bypivot_percent_atpivot_percent_at_multireshape_longerreshape_widerrow_expand_datesrow_expand_patternrow_percent_convertselect_colsstr_split_col
Dependencies:data.table