{ "_id": "6a1575b4acfb0bcc41d65fe0", "Package": "tidyft", "Title": "Fast and Memory Efficient Data Operations in Tidy Syntax", "Version": "0.9.20", "Authors@R": "person(given = \"Tian-Yuan\",\nfamily = \"Huang\",\nrole = c(\"aut\", \"cre\"),\nemail = \"huang.tian-yuan@qq.com\",\ncomment = c(ORCID = \"0000-0002-4151-3764\"))", "Description": "Tidy syntax for 'data.table', using modification by\nreference whenever possible. This toolkit is designed for big\ndata analysis in high-performance desktop or laptop computers.\nThe syntax of the package is similar or identical to\n'tidyverse'. It is user friendly, memory efficient and time\nsaving. For more information, check its ancestor package\n'tidyfst'.", "URL": "https://github.com/hope-data-science/tidyft,\nhttps://hope-data-science.github.io/tidyft/", "BugReports": "https://github.com/hope-data-science/tidyft/issues", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://hope-data-science.r-universe.dev", "Date/Publication": "2024-09-23 05:05:11 UTC", "RemoteUrl": "https://github.com/hope-data-science/tidyft", "RemoteRef": "HEAD", "RemoteSha": "6cdfcd20c6cb6fd6f4f4750228d6e480e6a5bf60", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-26 10:24:52 UTC", "User": "root" }, "Author": "Tian-Yuan Huang [aut, cre] (ORCID:\n)", "Maintainer": "Tian-Yuan Huang ", "MD5sum": "ea157e53aa510d3c7079b5bd3714a9bd", "_user": "hope-data-science", "_type": "src", "_file": "tidyft_0.9.20.tar.gz", "_fileid": "5206f177c62b7179cff54189b05a6c3e8729b8423d55783e4960c6b6a388c4a9", "_filesize": 231326, "_sha256": "5206f177c62b7179cff54189b05a6c3e8729b8423d55783e4960c6b6a388c4a9", "_created": "2026-05-26T10:24:52.000Z", "_published": "2026-05-26T10:28:04.525Z", "_distro": "noble", "_jobs": [ { "job": 77854919319, "time": 130, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7214689093" }, { "job": 77854919350, "time": 154, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7214693542" }, { "job": 77854919405, "time": 160, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7214683709" }, { "job": 77854919317, "time": 149, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7214684089" }, { "job": 77854458286, "time": 174, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7214643884" }, { "job": 77854919390, "time": 98, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7214676260" }, { "job": 77854919324, "time": 93, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7214675343" }, { "job": 77854919502, "time": 88, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7214672486" }, { "job": 77854919398, "time": 95, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7214674677" } ], "_buildurl": "https://github.com/r-universe/hope-data-science/actions/runs/26446590481", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/hope-data-science/tidyft", "_commit": { "id": "6cdfcd20c6cb6fd6f4f4750228d6e480e6a5bf60", "author": "Hope <32947502+hope-data-science@users.noreply.github.com>", "committer": "GitHub ", "message": "Add files via upload", "time": 1727067911 }, "_maintainer": { "name": "Tian-Yuan Huang", "email": "huang.tian-yuan@qq.com", "orcid": "0000-0002-4151-3764" }, "_registered": true, "_dependencies": [ { "package": "data.table", "version": ">= 1.12.8", "role": "Imports" }, { "package": "stringr", "version": ">= 1.4.0", "role": "Imports" }, { "package": "fst", "version": ">= 0.9.0", "role": "Imports" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "bench", "role": "Suggests" }, { "package": "dplyr", "role": "Suggests" }, { "package": "dtplyr", "role": "Suggests" } ], "_owner": "hope-data-science", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 35, "_contributors": [ { "user": "hope-data-science", "count": 20, "uuid": 32947502 }, { "user": "hadley", "count": 5, "uuid": 4196 } ], "_userbio": { "uuid": 32947502, "type": "user", "name": "Hope", "description": "Use R to change the world!" }, "_downloads": { "count": 314, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/tidyft" }, "_devurl": "https://github.com/hope-data-science/tidyft", "_pkgdown": "https://hope-data-science.github.io/tidyft/", "_searchresults": 24, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/readme.html", "extra/readme.md", "extra/tidyft.html", "manual.pdf" ], "_homeurl": "https://github.com/hope-data-science/tidyft", "_realowner": "hope-data-science", "_cranurl": true, "_releases": [ { "version": "0.4.5", "date": "2020-04-10" }, { "version": "0.5.7", "date": "2023-01-08" }, { "version": "0.9.20", "date": "2024-09-22" } ], "_exports": [ "%>%", "add_count", "anti_join", "arrange", "as_fst", "as.data.table", "chop", "CJ", "complete", "copy", "count", "cummean", "data.table", "delete_na", "df_mat", "distinct", "drop_na", "dummy", "export_fst", "fcoalesce", "fill", "filter", "filter_fst", "fread", "full_join", "fwrite", "group_by", "group_exe", "groups", "import_fst", "inner_join", "lag", "lead", "left_join", "longer", "mat_df", "mutate", "mutate_vars", "mutate_when", "nest", "nth", "object_size", "parse_fst", "pull", "rbindlist", "read_csv", "relocate", "rename", "replace_vars", "right_join", "rleid", "rleidv", "rowwise_mutate", "rowwise_summarise", "select", "select_dt", "select_fst", "select_mix", "select_vars", "semi_join", "separate", "setDT", "setnames", "shift_fill", "slice", "slice_fst", "slice_head", "slice_max", "slice_min", "slice_sample", "slice_tail", "squeeze", "summarise", "summarise_vars", "summarise_when", "summary_fst", "sys_time_print", "tables", "transmute", "transpose", "unchop", "uncount", "ungroup", "uniqueN", "unite", "unnest", "utf8_encoding", "wider" ], "_help": [ { "page": "arrange", "title": "Arrange entries in data.frame", "topics": [ "arrange" ] }, { "page": "as_fst", "title": "Save a data.frame as a fst table", "topics": [ "as_fst" ] }, { "page": "complete", "title": "Complete a data frame with missing combinations of data", "topics": [ "complete" ] }, { "page": "count", "title": "Count observations by group", "topics": [ "add_count", "count" ] }, { "page": "cummean", "title": "Cumulative mean", "topics": [ "cummean" ] }, { "page": "distinct", "title": "Select distinct/unique rows in data.table", "topics": [ "distinct" ] }, { "page": "drop_delete_na", "title": "Drop or delete data by rows or columns", "topics": [ "delete_na", "drop_na" ] }, { "page": "dummy", "title": "Fast creation of dummy variables", "topics": [ "dummy" ] }, { "page": "fst_io", "title": "Read and write fst files", "topics": [ "export_fst", "import_fst" ] }, { "page": "fill", "title": "Fill in missing values with previous or next value", "topics": [ "fill", "shift_fill" ] }, { "page": "filter", "title": "Filter entries in data.frame", "topics": [ "filter" ] }, { "page": "fst", "title": "Parse,inspect and extract data.table from fst file", "topics": [ "filter_fst", "fst", "parse_fst", "select_fst", "slice_fst", "summary_fst" ] }, { "page": "group", "title": "Group by one or more variables", "topics": [ "groups", "group_by", "group_exe", "ungroup" ] }, { "page": "join", "title": "Join tables", "topics": [ "anti_join", "full_join", "inner_join", "left_join", "right_join", "semi_join" ] }, { "page": "lag_lead", "title": "Fast lead/lag for vectors", "topics": [ "lag", "lead" ] }, { "page": "long_wide", "title": "Pivot data between long and wide", "topics": [ "longer", "wider" ] }, { "page": "tidymat", "title": "Conversion between tidy table and named matrix", "topics": [ "df_mat", "mat_df" ] }, { "page": "mutate", "title": "Create or transform variables", "topics": [ "mutate", "mutate_vars", "mutate_when", "transmute" ] }, { "page": "nest", "title": "Nest and unnest", "topics": [ "chop", "nest", "squeeze", "unchop", "unnest" ] }, { "page": "nth", "title": "Extract the nth value from a vector", "topics": [ "nth" ] }, { "page": "object_size", "title": "Nice printing of report the Space Allocated for an Object", "topics": [ "object_size" ] }, { "page": "pull", "title": "Pull out a single variable", "topics": [ "pull" ] }, { "page": "read_csv", "title": "Convenient file reader", "topics": [ "read_csv" ] }, { "page": "relocate", "title": "Change column order", "topics": [ "relocate" ] }, { "page": "replace_vars", "title": "Fast value replacement in data frame", "topics": [ "replace_vars" ] }, { "page": "rowwise", "title": "Computation by rows", "topics": [ "rowwise_mutate", "rowwise_summarise" ] }, { "page": "select", "title": "Select/rename variables by name", "topics": [ "rename", "select", "select_dt", "select_mix", "select_vars" ] }, { "page": "separate", "title": "Separate a character column into two columns using a regular expression separator", "topics": [ "separate" ] }, { "page": "slice", "title": "Subset rows using their positions", "topics": [ "slice", "slice_head", "slice_max", "slice_min", "slice_sample", "slice_tail" ] }, { "page": "summarise", "title": "Summarise columns to single values", "topics": [ "summarise", "summarise_vars", "summarise_when" ] }, { "page": "sys_time_print", "title": "Convenient print of time taken", "topics": [ "sys_time_print" ] }, { "page": "uncount", "title": "\"Uncount\" a data frame", "topics": [ "uncount" ] }, { "page": "unite", "title": "Unite multiple columns into one by pasting strings together", "topics": [ "unite" ] }, { "page": "utf8_encoding", "title": "Use UTF-8 for character encoding in a data frame", "topics": [ "utf8_encoding" ] } ], "_pkglogo": "https://github.com/hope-data-science/tidyft/raw/HEAD/man/figures/logo.png", "_readme": "https://github.com/hope-data-science/tidyft/raw/HEAD/README.md", "_rundeps": [ "cli", "data.table", "fst", "fstcore", "glue", "lifecycle", "magrittr", "Rcpp", "rlang", "stringi", "stringr", "vctrs" ], "_vignettes": [ { "source": "Introduction.Rmd", "filename": "Introduction.html", "title": "Fastest data operations with least memory in tidy syntax", "engine": "knitr::rmarkdown", "headings": [ "Why tidyft?", "The philosophy of tidyft", "Working with fst", "Performance", "Session Information" ], "created": "2020-04-10 10:53:24", "modified": "2024-09-23 04:56:14", "commits": 4 } ], "_score": 5.623249290397901, "_indexed": true, "_nocasepkg": "tidyft", "_universes": [ "hope-data-science" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.9.20", "date": "2026-05-26T10:27:05.000Z", "distro": "noble", "commit": "6cdfcd20c6cb6fd6f4f4750228d6e480e6a5bf60", "fileid": "0a5b13a33a388f0a9e1ad714c26e6e8f9d5c2d37f21107e2b1f6006309841b79", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/hope-data-science/actions/runs/26446590481" }, { "r": "4.6.0", "os": "linux", "version": "0.9.20", "date": "2026-05-26T10:27:19.000Z", "distro": "noble", "commit": "6cdfcd20c6cb6fd6f4f4750228d6e480e6a5bf60", "fileid": "902c8935c424368e27751ce08ca986fa69c9a9280038ddd7a6eaba659c6cad1e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/hope-data-science/actions/runs/26446590481" }, { "r": "4.5.3", "os": "mac", "version": "0.9.20", "date": "2026-05-26T10:26:50.000Z", "commit": "6cdfcd20c6cb6fd6f4f4750228d6e480e6a5bf60", "fileid": "b33c9b648c673e261ab20230b3236ed197f7ae38c7a7c0694245fde8fc3a7fd9", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/hope-data-science/actions/runs/26446590481" }, { "r": "4.6.0", "os": "mac", "version": "0.9.20", "date": "2026-05-26T10:26:54.000Z", "commit": "6cdfcd20c6cb6fd6f4f4750228d6e480e6a5bf60", "fileid": "4d2d1ceee69cd7f28073c7a93b38f5211fdd0bde21fdad2a3869bbf03c340e56", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/hope-data-science/actions/runs/26446590481" }, { "r": "4.6.0", "os": "wasm", "version": "0.9.20", "date": "2026-05-26T10:26:48.000Z", "commit": "6cdfcd20c6cb6fd6f4f4750228d6e480e6a5bf60", "fileid": "18ded17b065f4d9ad9c3fa17e9dab55b1425c2c4ea3d954a3564a0f9f66babf9", "status": "success", "buildurl": "https://github.com/r-universe/hope-data-science/actions/runs/26446590481" }, { "r": "4.7.0", "os": "win", "version": "0.9.20", "date": "2026-05-26T10:26:22.000Z", "commit": "6cdfcd20c6cb6fd6f4f4750228d6e480e6a5bf60", "fileid": "604ac87f60b1802552b355138d328f5d9d4b391d8c13cad62e844f370462fef9", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/hope-data-science/actions/runs/26446590481" }, { "r": "4.5.3", "os": "win", "version": "0.9.20", "date": "2026-05-26T10:26:06.000Z", "commit": "6cdfcd20c6cb6fd6f4f4750228d6e480e6a5bf60", "fileid": "5ea7aa9a4def9e4ebd0a99e75d31a05b5c7091509a700b35668a90036fea1b4a", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/hope-data-science/actions/runs/26446590481" }, { "r": "4.6.0", "os": "win", "version": "0.9.20", "date": "2026-05-26T10:26:17.000Z", "commit": "6cdfcd20c6cb6fd6f4f4750228d6e480e6a5bf60", "fileid": "a91377fe60391c0fa02b7c98bf7cc07d48cf9ad07ab95429344c34d7af176de0", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/hope-data-science/actions/runs/26446590481" } ] }