Package: tidyft 0.4.5
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Tian-Yuan Huang
tidyft: Tidy Verbs for Fast Data Operations by Reference
Tidy syntax for 'data.table', using modification by reference whenever possible. This toolkit is designed for big data analysis in high-performance desktop or laptop computers. The syntax of the package is similar or identical to 'tidyverse'. It is user friendly, memory efficient and time saving. For more information, check its ancestor package 'tidyfst'.
Authors:
tidyft_0.4.5.tar.gz
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tidyft.pdf |tidyft.html✨
tidyft/json (API)
# Install 'tidyft' in R: |
install.packages('tidyft', repos = c('https://fastverse.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/hope-data-science/tidyft/issues
Last updated 2 years agofrom:15b860ae6f
Exports:%>%add_countanti_joinarrangeas_fstas.data.tablechopCJcompletecopycountcummeandata.tabledelete_nadf_matdistinctdrop_nadummyexport_fstfcoalescefillfilterfilter_fstfreadfull_joinfwritegroup_bygroup_exegroupsimport_fstinner_joinlagleadleft_joinlongermat_dfmutatemutate_varsmutate_whennestnthobject_sizeparse_fstpullrbindlistread_csvrelocaterenamereplace_varsright_joinrowwise_mutaterowwise_summariseselectselect_dtselect_fstselect_mixselect_varssemi_joinseparatesetDTsetnamesshift_fillsliceslice_fstslice_headslice_maxslice_minslice_sampleslice_tailsqueezesummarisesummarise_varssummarise_whensummary_fstsys_time_printtablestransmutetransposeunchopuncountungroupuniqueNuniteunnestutf8_encodingwider
Dependencies:clidata.tablefstfstcoregluelifecyclemagrittrRcpprlangstringistringrvctrs