Package: tidyfst 1.8.4


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_1.8.4.tar.gz
tidyfst_1.8.4.zip(r-4.7)tidyfst_1.8.4.zip(r-4.6)tidyfst_1.8.4.zip(r-4.5)
tidyfst_1.8.4.tgz(r-4.6-any)tidyfst_1.8.4.tgz(r-4.5-any)
tidyfst_1.8.4.tar.gz(r-4.7-any)tidyfst_1.8.4.tar.gz(r-4.6-any)
tidyfst_1.8.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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
Pkgdown/docs site:https://hope-data-science.github.io
Last updated from:2b8474bd4b. Checks:5 WARNING, 2 OK, 2 ERROR. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | WARNING | 144 | ||
| source / vignettes | OK | 208 | ||
| linux-release-x86_64 | WARNING | 138 | ||
| macos-release-arm64 | WARNING | 109 | ||
| macos-oldrel-arm64 | ERROR | 94 | ||
| windows-devel | WARNING | 108 | ||
| windows-release | WARNING | 89 | ||
| windows-oldrel | ERROR | 113 | ||
| wasm-release | OK | 108 |
Exports:%>%%chin%%like%add_count_dtadd_propanti_join_dtarrange_dtas_dtas_fstas.data.tablebetweenbind_rows_dtbind_tf_idf_dtchop_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.tablefstfstcoregluelifecyclemagrittrpakRcpprlangstringistringrvctrs
tidyfst包实例分析
Rendered fromchinese_tutorial.Rmdusingknitr::rmarkdownon May 27 2026.Last update: 2020-05-02
Started: 2020-03-14
Use data.table the tidy way: An ultimate tutorial of tidyfst
Rendered fromenglish_tutorial.Rmdusingknitr::rmarkdownon May 27 2026.Last update: 2025-05-07
Started: 2020-03-24
Example 1: Basic usage
Rendered fromexample1_intro.Rmdusingknitr::rmarkdownon May 27 2026.Last update: 2022-04-27
Started: 2020-02-15
Example 2: Join tables
Rendered fromexample2_join.Rmdusingknitr::rmarkdownon May 27 2026.Last update: 2022-04-27
Started: 2020-02-15
Example 3: Reshape
Rendered fromexample3_reshape.Rmdusingknitr::rmarkdownon May 27 2026.Last update: 2022-04-27
Started: 2020-02-15
Example 4: Nest
Rendered fromexample4_nest.Rmdusingknitr::rmarkdownon May 27 2026.Last update: 2022-04-27
Started: 2020-02-15
Example 5: Fst
Rendered fromexample5_fst.Rmdusingknitr::rmarkdownon May 27 2026.Last update: 2022-04-27
Started: 2020-02-27
Example 6: Dt
Rendered fromexample6_dt.Rmdusingknitr::rmarkdownon May 27 2026.Last update: 2022-04-27
Started: 2020-03-04
Performance
Rendered frombenchmark.Rmdusingknitr::rmarkdownon May 27 2026.Last update: 2024-04-15
Started: 2020-07-11