Package: tidyfst 1.8.0
![](https://github.com/hope-data-science/tidyfst/raw/HEAD/man/figures/logo.png)
![](https://r-universe.dev/static/nobody.jpg)
Tian-Yuan Huang
tidyfst: Tidy Verbs for Fast Data Manipulation
A toolkit of tidy data manipulation verbs with 'data.table' as the backend. Combining the merits of syntax elegance from 'dplyr' and computing performance from 'data.table', 'tidyfst' intends to provide users with state-of-the-art data manipulation tools with least pain. This package is an extension of 'data.table'. While enjoying a tidy syntax, it also wraps combinations of efficient functions to facilitate frequently-used data operations.
Authors:
tidyfst_1.8.0.tar.gz
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tidyfst_1.8.0.tgz(r-4.4-any)tidyfst_1.8.0.tgz(r-4.3-any)
tidyfst_1.8.0.tar.gz(r-4.5-noble)tidyfst_1.8.0.tar.gz(r-4.4-noble)
tidyfst_1.8.0.tgz(r-4.4-emscripten)tidyfst_1.8.0.tgz(r-4.3-emscripten)
tidyfst.pdf |tidyfst.html✨
tidyfst/json (API)
# Install 'tidyfst' in R: |
install.packages('tidyfst', repos = c('https://fastverse.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/hope-data-science/tidyfst/issues
Last updated 9 days agofrom:c301c26644. Checks:OK: 1 WARNING: 6. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Aug 30 2024 |
R-4.5-win | WARNING | Aug 30 2024 |
R-4.5-linux | WARNING | Aug 30 2024 |
R-4.4-win | WARNING | Aug 30 2024 |
R-4.4-mac | WARNING | Aug 30 2024 |
R-4.3-win | WARNING | Aug 30 2024 |
R-4.3-mac | WARNING | Aug 30 2024 |
Exports:%>%%chin%%like%%notin%add_count_dtadd_propanti_join_dtarrange_dtas_dtas_fstas.data.tablebetweenchop_dtCJcol_maxcol_mincol_rncomplete_dtcopycount_dtcummeandata.tabledelete_na_colsdelete_na_rowsdf_matdistinct_dtdrop_na_dtdummy_dtexport_fstfcasefcoalescefill_na_dtfilter_dtfilter_fstfintersectfreadfrollapplyfsetdifffsetequalfull_join_dtfunionfwriteget_fst_chunk_sizegroup_by_dtgroup_dtgroup_exe_dtimport_fstimport_fst_chunkedimpute_dtin_dtinner_join_dtintersect_dtkeylag_dtlead_dtleft_join_dtlikelonger_dtmat_dfmaxthminthmutate_dtmutate_varsmutate_whennest_dtnthobject_sizepairwise_count_dtparse_fstpercentpkg_loadpkg_unloadprint_optionspstpull_dtrbindlistrec_charrec_numrelocate_dtrename_dtrename_with_dtreplace_dtreplace_na_dtright_join_dtrleidrleidvrn_colround0rowwise_dtsample_dtsample_frac_dtsample_n_dtselect_dtselect_fstselect_mixsemi_join_dtseparate_dtsetsetDFsetdiff_dtsetDTsetequal_dtsetnamesshift_fillslice_dtslice_fstslice_head_dtslice_max_dtslice_min_dtslice_sample_dtslice_tail_dtsql_join_dtsqueeze_dtsummarise_dtsummarise_varssummarise_whensummarize_dtsummarize_varssummarize_whensummary_fstsys_time_printt_dttablestransmute_dtunchop_dtuncount_dtunion_dtuniqueNunite_dtunnest_dtutf8_encodingwider_dt
Dependencies:clidata.tablefstfstcoregluelifecyclemagrittrRcpprlangstringistringrvctrs
tidyfst包实例分析
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usingknitr::rmarkdown
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Use data.table the tidy way: An ultimate tutorial of tidyfst
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usingknitr::rmarkdown
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Example 1: Basic usage
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usingknitr::rmarkdown
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Example 2: Join tables
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usingknitr::rmarkdown
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Example 3: Reshape
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usingknitr::rmarkdown
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Example 4: Nest
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usingknitr::rmarkdown
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Example 5: Fst
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usingknitr::rmarkdown
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Example 6: Dt
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usingknitr::rmarkdown
on Aug 30 2024.Last update: 2022-04-27
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Performance
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usingknitr::rmarkdown
on Aug 30 2024.Last update: 2024-04-15
Started: 2020-07-11