{ "_id": "6a1697b0acfb0bcc41d7cb3d", "Package": "normalr", "Title": "Normalisation of Multiple Variables in Large-Scale Datasets", "Version": "1.0.1", "Authors@R": "c(person(\"Kevin\", \"Chang\", email = \"k.chang@auckland.ac.nz\", role = c(\"aut\", \"cre\")), \nperson(\"Matthew\", \"Courtney\", email = \"matthew.courtney@unimelb.edu.au\", role = c(\"aut\")))", "Description": "The robustness of many of the statistical techniques, such\nas factor analysis, applied in the social sciences rests upon\nthe assumption of item-level normality. However, when dealing\nwith real data, these assumptions are often not met. The\nBox-Cox transformation (Box & Cox, 1964)\n provides an optimal\ntransformation for non-normal variables. Yet, for large\ndatasets of continuous variables, its application in current\nsoftware programs is cumbersome with analysts having to take\nseveral steps to normalise each variable. We present an R\npackage 'normalr' that enables researchers to make convenient\noptimal transformations of multiple variables in datasets. This\nR package enables users to quickly and accurately: (1) anchor\nall of their variables at 1.00, (2) select the desired\nprecision with which the optimal lambda is estimated, (3) apply\neach unique exponent to its variable, (4) rescale resultant\nvalues to within their original X1 and X(n) ranges, and (5)\nprovide original and transformed estimates of skewness,\nkurtosis, and other inferential assessments of normality.", "License": "GPL", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.1.1", "URL": "https://github.com/kcha193/normalr", "BugReports": "https://github.com/kcha193/normalr/issues", "Config/testthat/edition": "3", "Repository": "https://kcha193.r-universe.dev", "Date/Publication": "2021-12-05 02:06:26 UTC", "RemoteUrl": "https://github.com/kcha193/normalr", "RemoteRef": "HEAD", "RemoteSha": "0f97851949f572bd69ce04fe9a74eb00299e0276", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-27 07:02:11 UTC", "User": "root" }, "Author": "Kevin Chang [aut, cre],\nMatthew Courtney [aut]", "Maintainer": "Kevin Chang ", "MD5sum": "5581e3e8de998e3407192e3f8d795021", "_user": "kcha193", "_type": "src", "_file": "normalr_1.0.1.tar.gz", "_fileid": "b9fa0ee1508630b749dcbbdb5d2b11b24babca89ae07ad09254277240af11b54", "_filesize": 108833, "_sha256": "b9fa0ee1508630b749dcbbdb5d2b11b24babca89ae07ad09254277240af11b54", "_created": "2026-05-27T07:02:11.000Z", "_published": "2026-05-27T07:05:20.462Z", "_distro": "noble", "_jobs": [ { "job": 78024777514, "time": 129, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7233979475" }, { "job": 78024777534, "time": 127, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7233979041" }, { "job": 78024777604, "time": 149, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7233982133" }, { "job": 78024777632, "time": 131, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7233977093" }, { "job": 78024362937, "time": 170, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7233941984" }, { "job": 78024777570, "time": 98, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7233970885" }, { "job": 78024777594, "time": 95, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7233970067" }, { "job": 78024777611, "time": 87, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7233968039" }, { "job": 78024777599, "time": 87, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7233967087" } ], "_buildurl": "https://github.com/r-universe/kcha193/actions/runs/26496024240", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/kcha193/normalr", "_commit": { "id": "0f97851949f572bd69ce04fe9a74eb00299e0276", "author": "Kevin Chang ", "committer": "Kevin Chang ", "message": "update renv\n", "time": 1638669986 }, "_maintainer": { "name": "Kevin Chang", "email": "k.chang@auckland.ac.nz", "login": "kcha193", "twitter": "@kevin_ct_chang", "description": "Data Scientist and R enthusiast.", "uuid": 3469799 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.3.0", "role": "Depends" }, { "package": "MASS", "role": "Imports" }, { "package": "parallel", "role": "Imports" }, { "package": "purrr", "role": "Imports" }, { "package": "magrittr", "role": "Imports" }, { "package": "rlang", "role": "Imports" }, { "package": "shiny", "role": "Imports" }, { "package": "testthat", "role": "Suggests" }, { "package": "covr", "role": "Suggests" } ], "_owner": "kcha193", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 3, "_contributors": [ { "user": "kcha193", "count": 20, "uuid": 3469799 } ], "_userbio": { "uuid": 3469799, "type": "user", "name": "Kevin Chang", "description": "Data Scientist and R enthusiast." }, "_downloads": { "count": 81, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/normalr" }, "_devurl": "https://github.com/kcha193/normalr", "_searchresults": 21, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/NEWS.html", "extra/NEWS.txt", "extra/normalr.html", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/kcha193/normalr", "_realowner": "kcha193", "_cranurl": true, "_releases": [ { "version": "0.0.1", "date": "2016-12-20" }, { "version": "0.0.2", "date": "2017-01-09" }, { "version": "0.0.3", "date": "2017-01-17" }, { "version": "1.0.0", "date": "2018-03-30" } ], "_exports": [ "getLambda", "normalise", "normaliseData", "normaliseDataInfo", "normalrShiny" ], "_datasets": [ { "name": "testData", "title": "Test dataset for the paper", "object": "testData", "class": [ "data.frame" ], "fields": [ "V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9" ], "rows": 957, "table": true, "tojson": true } ], "_help": [ { "page": "getLambda", "title": "Get Optimal Lambda value", "topics": [ "getLambda" ] }, { "page": "normalise", "title": "Apply normalisation on a numeric vector using a specific Lambda value", "topics": [ "normalise" ] }, { "page": "normaliseData", "title": "Apply normalisation on a data frame using specific Lambda value", "topics": [ "normaliseData" ] }, { "page": "normaliseDataInfo", "title": "Apply normalisation on a data frame using specific Lambda value", "topics": [ "normaliseDataInfo" ] }, { "page": "normalrShiny", "title": "Shiny application of the normalr", "topics": [ "normalrShiny" ] }, { "page": "testData", "title": "Test dataset for the paper", "topics": [ "testData" ] } ], "_readme": "https://github.com/kcha193/normalr/raw/HEAD/README.md", "_rundeps": [ "base64enc", "bslib", "cachem", "cli", "commonmark", "digest", "fastmap", "fontawesome", "fs", "glue", "htmltools", "httpuv", "jquerylib", "jsonlite", "later", "lifecycle", "magrittr", "MASS", "memoise", "mime", "otel", "promises", "purrr", "R6", "rappdirs", "Rcpp", "rlang", "sass", "shiny", "sourcetools", "vctrs", "withr", "xtable" ], "_score": 3.4983105537896004, "_indexed": true, "_nocasepkg": "normalr", "_universes": [ "kcha193" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.0.1", "date": "2026-05-27T07:04:16.000Z", "distro": "noble", "commit": "0f97851949f572bd69ce04fe9a74eb00299e0276", "fileid": "b535ef11509bf3e440e7dfcfe76eb28d57b6677f84397e62e27ea520723f818c", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/kcha193/actions/runs/26496024240" }, { "r": "4.6.0", "os": "linux", "version": "1.0.1", "date": "2026-05-27T07:04:15.000Z", "distro": "noble", "commit": "0f97851949f572bd69ce04fe9a74eb00299e0276", "fileid": "a125dc3c604a92073629f913c355a92a3340634855d827da5432c3bc5eff72ec", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/kcha193/actions/runs/26496024240" }, { "r": "4.5.3", "os": "mac", "version": "1.0.1", "date": "2026-05-27T07:04:34.000Z", "commit": "0f97851949f572bd69ce04fe9a74eb00299e0276", "fileid": "eca203c853ceeda8367d44cec0c9cf5f480473e30109844e955fe7db3a7e6bc2", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/kcha193/actions/runs/26496024240" }, { "r": "4.6.0", "os": "mac", "version": "1.0.1", "date": "2026-05-27T07:04:13.000Z", "commit": "0f97851949f572bd69ce04fe9a74eb00299e0276", "fileid": "cdae95401d8b5ab2a7e2371a9658bec4ddccfb6cb110d3a80bb08ca891f74afc", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/kcha193/actions/runs/26496024240" }, { "r": "4.6.0", "os": "wasm", "version": "1.0.1", "date": "2026-05-27T07:04:07.000Z", "commit": "0f97851949f572bd69ce04fe9a74eb00299e0276", "fileid": "62a3ec314bebee463db53d2336094bcae67f977941badae1491f8962c7041b27", "status": "success", "buildurl": "https://github.com/r-universe/kcha193/actions/runs/26496024240" }, { "r": "4.7.0", "os": "win", "version": "1.0.1", "date": "2026-05-27T07:03:36.000Z", "commit": "0f97851949f572bd69ce04fe9a74eb00299e0276", "fileid": "619172195cf861a1e2d614145f4f7266c9974c3b4b73696cb42c407765bd3f57", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/kcha193/actions/runs/26496024240" }, { "r": "4.5.3", "os": "win", "version": "1.0.1", "date": "2026-05-27T07:03:29.000Z", "commit": "0f97851949f572bd69ce04fe9a74eb00299e0276", "fileid": "e109511aa09baf4dbcec5761e0856aeb7de66a24b2e7ab5383e646cdeb561549", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/kcha193/actions/runs/26496024240" }, { "r": "4.6.0", "os": "win", "version": "1.0.1", "date": "2026-05-27T07:03:28.000Z", "commit": "0f97851949f572bd69ce04fe9a74eb00299e0276", "fileid": "14e14a4c96a125878ae1eb7370de8dc446c23262849e9be896f93dba6eded002", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/kcha193/actions/runs/26496024240" } ] }