{ "_id": "6a129396acfb0bcc41d0bad1", "Package": "DistatisR", "Type": "Package", "Title": "DiSTATIS Three Way Metric Multidimensional Scaling", "Version": "1.1.2", "Authors@R": "c(\nperson(given= \"Derek\", family = \"Beaton\", role = c(\"aut\", \"ctb\")),\nperson(given= \"Ju-Chi\", family = \"Yu\", role = c(\"aut\", \"ctb\")),\nperson(given= \"Vincent\", family = \"Guillemot\", role = c(\"aut\", \"ctb\")),\nperson(given= \"Herve\", family = \"Abdi\", role = c(\"aut\", \"cre\"), email = \"herve@utdallas.edu\")\n)", "Description": "Implement DiSTATIS and CovSTATIS (three-way\nmultidimensional scaling). DiSTATIS and CovSTATIS are used to\nanalyze multiple distance/covariance matrices collected on the\nsame set of observations. These methods are based on Abdi, H.,\nWilliams, L.J., Valentin, D., & Bennani-Dosse, M. (2012)\n.", "License": "GPL-2", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.2", "Config/pak/sysreqs": "cmake make libicu-dev", "Repository": "https://herveabdi.r-universe.dev", "Date/Publication": "2025-08-27 01:27:09 UTC", "RemoteUrl": "https://github.com/herveabdi/distatisr", "RemoteRef": "HEAD", "RemoteSha": "88e9004b1b5e1dc366cad2e1d9e1ff9872df8426", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-24 05:55:31 UTC", "User": "root" }, "Author": "Derek Beaton [aut, ctb],\nJu-Chi Yu [aut, ctb],\nVincent Guillemot [aut, ctb],\nHerve Abdi [aut, cre]", "Maintainer": "Herve Abdi ", "MD5sum": "0c89ee344550518e715953e9bad46a44", "_user": "herveabdi", "_type": "src", "_file": "DistatisR_1.1.2.tar.gz", "_fileid": "758a177230e5fae3edae1e57fa40f5c060b6f7f032a996e2e089d3e369690313", "_filesize": 431820, "_sha256": "758a177230e5fae3edae1e57fa40f5c060b6f7f032a996e2e089d3e369690313", "_created": "2026-05-24T05:55:31.000Z", "_published": "2026-05-24T05:58:46.191Z", "_distro": "noble", "_jobs": [ { "job": 77575574630, "time": 159, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7182685009" }, { "job": 77575574636, "time": 150, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7182684135" }, { "job": 77575574640, "time": 151, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7182681520" }, { "job": 77575574634, "time": 126, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7182679925" }, { "job": 77575407749, "time": 190, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7182668199" }, { "job": 77575574633, "time": 123, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7182681081" }, { "job": 77575574638, "time": 103, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7182679213" }, { "job": 77575574635, "time": 126, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7182681350" }, { "job": 77575574644, "time": 99, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7182678674" } ], "_buildurl": "https://github.com/r-universe/herveabdi/actions/runs/26353359509", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/herveabdi/distatisr", "_commit": { "id": "88e9004b1b5e1dc366cad2e1d9e1ff9872df8426", "author": "Derek ", "committer": "Derek ", "message": "A lot of small changes largely around braces with no preceding command. Some author updates. Various clean up things to make roxygen/devtools/CRAN happy\n", "time": 1756258029 }, "_maintainer": { "name": "Herve Abdi", "email": "herve@utdallas.edu", "login": "herveabdi", "description": "", "uuid": 29100048 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "prettyGraphs", "role": "Imports" }, { "package": "car", "role": "Imports" }, { "package": "readxl", "role": "Imports" }, { "package": "dplyr", "role": "Imports" }, { "package": "tidytext", "role": "Imports" } ], "_owner": "herveabdi", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2025-35", "n": 2 } ], "_tags": [], "_topics": [ "3-way-mds", "distatis", "metric-multidimensional-scaling" ], "_stars": 4, "_contributors": [ { "user": "herveabdi", "count": 46, "uuid": 29100048 }, { "user": "derekbeaton", "count": 15, "uuid": 23744666 }, { "user": "juchiyu", "count": 8, "uuid": 23201134 }, { "user": "vguillemot", "count": 5, "uuid": 3502138 } ], "_userbio": { "uuid": 29100048, "type": "user", "name": "Hachay" }, "_downloads": { "count": 430, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/DistatisR" }, "_mentions": 1, "_devurl": "https://github.com/herveabdi/distatisr", "_searchresults": 48, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/DistatisR.html", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/herveabdi/distatisr", "_realowner": "herveabdi", "_cranurl": true, "_releases": [ { "version": "1.0", "date": "2013-07-11" }, { "version": "1.0.1", "date": "2019-01-31" }, { "version": "1.1.1", "date": "2022-12-05" }, { "version": "1.1.2", "date": "2025-09-27" } ], "_exports": [ "BootFactorScores", "BootFromCompromise", "Chi2Dist", "Chi2DistanceFromSort", "computePartial4Groups", "ComputeSplus", "CP2MFAnormedCP", "CP2NuclearNormedCP", "CP2SUMPCAnormedCP", "createCubeOfCovDis", "DblCenterDist", "Dist2CP", "DistanceFromRank", "DistanceFromSort", "distatis", "GetCmat", "GetRectCmat", "GraphDistatisAll", "GraphDistatisBoot", "GraphDistatisCompromise", "GraphDistatisPartial", "GraphDistatisRv", "ldiag", "list2CubeOfCovDis", "MFAnormCP", "mmds", "NuclearNormedCP", "projectVoc", "projMap2Cube", "rdiag", "read.df.excel", "rv", "scale1", "SUMPCAnormCP", "supplementalProjection4distatis", "vocabulary2CT" ], "_datasets": [ { "name": "amariSorting", "title": "25 assessors twice sort and describe 12 amaris (i.e., bitter)", "object": "amariSorting", "class": [ "dataAmari" ], "fields": [], "table": false, "tojson": false }, { "name": "beersBlindSorting", "title": "Novices and Experts sorted 3 types of beers from 3 different brewers without and without seeing the beers.", "object": "beersBlindSorting", "class": [ "beersBlind" ], "fields": [], "table": true, "tojson": false }, { "name": "BeersProjectiveMapping", "title": "7 (fictitious) assessors sort and verbally describe 7 Beers using _Projective Mapping_.", "object": "BeersProjectiveMapping", "class": [ "str_BeersProjectiveMapping" ], "fields": [], "table": false, "tojson": false }, { "name": "DistAlgo", "title": "Four computer algorithms evaluate the similarity of six faces for distatis analysis", "object": "DistAlgo", "class": [ "array" ], "fields": [], "table": false, "tojson": true }, { "name": "multiculturalSortingSpices", "title": "62 assessors from 5 countries sort 16 spice samples", "object": "multiculturalSortingSpices", "class": [ "dataSortingSpices" ], "fields": [], "table": false, "tojson": false }, { "name": "Sort", "title": "Ten Assessors sorted eight beers for 'distatis' analysis", "object": "SortingBeer", "class": [ "matrix", "array" ], "fields": [ "F1", "M2", "F3", "F4", "M5", "M6", "M7", "M8", "F9", "M10" ], "rows": 8, "table": true, "tojson": true }, { "name": "sortingWines", "title": "Novices and wines experts sort red, rosé, and white wines", "object": "sortingWines", "class": [ "dataSortingWines" ], "fields": [], "table": false, "tojson": false }, { "name": "SortSpice", "title": "21 French assessors sorted 16 blends of Spice for 'distatis' analysis", "object": "SortingSpice", "class": [ "data.frame" ], "fields": [ "Judge.1", "Judge.2", "Judge.3", "Judge.4", "Judge.5", "Judge.6", "Judge.7", "Judge.8", "Judge.9", "Judge.10", "Judge.11", "Judge.12", "Judge.13", "Judge.14", "Judge.15", "Judge.16", "Judge.17", "Judge.18", "Judge.19", "Judge.20", "Judge.21" ], "rows": 16, "table": true, "tojson": true } ], "_help": [ { "page": "DistatisR-package", "title": "implements three way metric multidimensional scaling: DISTATIS and COVSTATIS.", "topics": [ "DistatisR-package", "DiSTATISR", "DistatisR" ] }, { "page": "amariSorting", "title": "25 assessors twice sort and describe 12 amaris (i.e., bitter)", "topics": [ "amariSorting" ] }, { "page": "beersBlindSorting", "title": "Novices and Experts sorted 3 types of beers from 3 different brewers without and without seeing the beers.", "topics": [ "beersBlindSorting" ] }, { "page": "BeersFlashProfile", "title": "An example of an excel file storing the Flash Profile of 6 (fictitious) assessors evaluating 7 (imaginary) beers. This excel file can be read by 'read.df.excel'.", "topics": [ "BeersFlashProfile" ] }, { "page": "BeersProjectiveMapping", "title": "7 (fictitious) assessors sort and verbally describe 7 Beers using _Projective Mapping_.", "topics": [ "BeersProjectiveMapping", "BeersProjectiveNapping" ] }, { "page": "BeersProjectiveMapping_xlsx", "title": "An example of an excel file with Projective Mapping data and vocabulary. This excel file can be read by 'read.df.excel'.", "topics": [ "BeersProjectiveMapping_xlsx", "BeersProjectiveNapping_xlsx" ] }, { "page": "BootFactorScores", "title": "Computes observation factor scores Bootstrap replicates from partial factor scores.", "topics": [ "BootFactorScores" ] }, { "page": "BootFromCompromise", "title": "'BootFromCompromise': Computes Bootstrap replicates of the (observation) factor scores by creating bootstrapped compromises.", "topics": [ "BootFromCompromise" ] }, { "page": "Chi2Dist", "title": "Computes the chi2 distance between the rows of a rectangular matrix (with positive elements).", "topics": [ "Chi2Dist" ] }, { "page": "Chi2DistanceFromSort", "title": "'Chi2DistanceFromSort': Creates a 3-dimensional chi2 distance array from the results of a sorting task.", "topics": [ "Chi2DistanceFromSort" ] }, { "page": "computePartial4Groups", "title": "Computes group alphas and group factor scores for K groups of observations in 'distatis'.", "topics": [ "computePartial4Groups" ] }, { "page": "ComputeSplus", "title": "ComputeSplus", "topics": [ "ComputeSplus" ] }, { "page": "CP2MFAnormedCP", "title": "CP2MFAnormedCP", "topics": [ "CP2MFAnormedCP" ] }, { "page": "CP2NuclearNormedCP", "title": "CP2NuclearNormedCP", "topics": [ "CP2NuclearNormedCP" ] }, { "page": "CP2SUMPCAnormedCP", "title": "CP2SUMPCAnormedCP", "topics": [ "CP2SUMPCAnormedCP" ] }, { "page": "createCubeOfCovDis", "title": "compute a cube of covariance and a cube of distance between the items (rows) of a brick of measurements (when all blocks have the same number of variables).", "topics": [ "createCubeOfCovDis" ] }, { "page": "DblCenterDist", "title": "Double Center a distance matrix", "topics": [ "DblCenterDist" ] }, { "page": "Dist2CP", "title": "Dist2CP", "topics": [ "Dist2CP" ] }, { "page": "DistAlgo", "title": "Four computer algorithms evaluate the similarity of six faces for distatis analysis", "topics": [ "DistAlgo" ] }, { "page": "DistanceFromRank", "title": "'DistanceFromRank': Creates a 3-dimensional distance array from the results of a ranking task.", "topics": [ "DistanceFromRank" ] }, { "page": "DistanceFromSort", "title": "Creates a 3-dimensional distance array from the results of a sorting task.", "topics": [ "DistanceFromSort" ] }, { "page": "distatis", "title": "3-Way MDS based on the \"STATIS\" optimization procedure.", "topics": [ "CovSTATIS", "covstatis", "DiSTATIS", "distatis" ] }, { "page": "GetCmat", "title": "GetCmat", "topics": [ "GetCmat" ] }, { "page": "GetRectCmat", "title": "GetRectCmat", "topics": [ "GetRectCmat" ] }, { "page": "GraphDistatisAll", "title": "This function combines the functionality of 'GraphDistatisCompromise', 'GraphDistatisPartial', 'GraphDistatisBoot', and 'GraphDistatisRv'.", "topics": [ "GraphDistatisAll" ] }, { "page": "GraphDistatisBoot", "title": "'GraphDistatisBoot' Plot maps of the factor scores of the observations and their bootstrapped confidence intervals (as confidence ellipsoids or peeled hulls) for a DISTATIS analysis.", "topics": [ "GraphDistatisBoot" ] }, { "page": "GraphDistatisCompromise", "title": "Plot maps of the factor scores of the observations for a DISTATIS analysis", "topics": [ "GraphDistatisCompromise" ] }, { "page": "GraphDistatisPartial", "title": "Plot maps of the factor scores and partial factor scores of the observations for a DISTATIS analysis.", "topics": [ "GraphDistatisPartial" ] }, { "page": "GraphDistatisRv", "title": "Plot maps of the factor scores (from the Rv matrix) of the distance matrices for a DISTATIS analysis", "topics": [ "GraphDistatisRv" ] }, { "page": "list2CubeOfCovDis", "title": "compute a cube of covariance and a cube of distance between the items (rows) of a matrix of measurements comprising K different blocks of possibly different number of variables.", "topics": [ "list2CubeOfCovDis" ] }, { "page": "MFAnormCP", "title": "MFAnormCP", "topics": [ "MFAnormCP" ] }, { "page": "mmds", "title": "Metric (classical) Multidimensional Scaling (a.k.a Principal Coordinate Analysis) of a (squared Euclidean) Distance Matrix.", "topics": [ "mmds" ] }, { "page": "multiculturalSortingSpices", "title": "62 assessors from 5 countries sort 16 spice samples", "topics": [ "multiculturalSortingSpices" ] }, { "page": "NuclearNormedCP", "title": "NuclearNormedCP", "topics": [ "NuclearNormedCP" ] }, { "page": "OrangeJuiceSortingRawData", "title": "'OrangeJuiceSortingRawData': an example of an excel file with Sorting data and vocabulary. This excel file can be read by 'read.df.excel'.", "topics": [ "OrangeJuiceSortingRawData" ] }, { "page": "projectVoc", "title": "Compute barycentric projections for count-like description of the items of a 'distatis'-type of analysis.", "topics": [ "projectVoc" ] }, { "page": "projMap2Cube", "title": "\\ reshape a data matrix from projective mapping into a brick of data for a 'distatis' analysis.", "topics": [ "projMap2Cube" ] }, { "page": "read.df.excel", "title": "'read.df.excel' reads 'distatis' formated ranking or sorting data from an excel file.", "topics": [ "read.df.excel" ] }, { "page": "rv", "title": "Function to compute the RV coefficient between to conformable matrices", "topics": [ "rv" ] }, { "page": "scale1", "title": "A variation over the base 'R' scale function that avoids the \"divide by 0 = NA\" problem.", "topics": [ "scale1" ] }, { "page": "SortingBeer", "title": "Ten Assessors sorted eight beers for 'distatis' analysis", "topics": [ "Sort", "SortingBeer" ] }, { "page": "SortingSpice", "title": "21 French assessors sorted 16 blends of Spice for 'distatis' analysis", "topics": [ "SortingSpice", "SortSpice" ] }, { "page": "sortingWines", "title": "Novices and wines experts sort red, rosé, and white wines", "topics": [ "sortingWines" ] }, { "page": "SUMPCAnormCP", "title": "SUMPCAnormCP", "topics": [ "SUMPCAnormCP" ] }, { "page": "supplementalProjection4distatis", "title": "Supplementary element(s) projection in DISTATIS", "topics": [ "supplementalProjection4distatis" ] }, { "page": "vocabulary2CT", "title": "Transforms a data.frame of products by vocabulary of assessors into a products by words (from vocabulary) contingency table.", "topics": [ "vocabulary2CT" ] }, { "page": "WinesRankingRawData", "title": "'WinesRankingRawData': an example of an excel file with (simulated) ranking data. Can be read with the function 'read.df.excel()'.", "topics": [ "WinesRankingRawData" ] } ], "_readme": "https://github.com/herveabdi/distatisr/raw/HEAD/README.md", "_rundeps": [ "abind", "backports", "boot", "broom", "car", "carData", "cellranger", "cli", "colorspace", "cowplot", "cpp11", "crayon", "Deriv", "doBy", "dplyr", "farver", "forecast", "Formula", "fracdiff", "generics", "ggplot2", "glue", "gtable", "hms", "isoband", "janeaustenr", "labeling", "lattice", "lifecycle", "lme4", "lmtest", "magrittr", "MASS", "Matrix", "MatrixModels", "mgcv", "microbenchmark", "minqa", "modelr", "nlme", "nloptr", "nnet", "numDeriv", "pbkrtest", "pillar", "pkgconfig", "prettyGraphs", "prettyunits", "progress", "purrr", "quantreg", "R6", "rbibutils", "RColorBrewer", "Rcpp", "RcppArmadillo", "RcppEigen", "Rdpack", "readxl", "reformulas", "rematch", "rlang", "S7", "scales", "SnowballC", "SparseM", "stringi", "stringr", "survival", "tibble", "tidyr", "tidyselect", "tidytext", "timeDate", "tokenizers", "urca", "utf8", "vctrs", "viridisLite", "withr", "zoo" ], "_score": 4.4593924877592315, "_indexed": true, "_nocasepkg": "distatisr", "_universes": [ "herveabdi" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.1.2", "date": "2026-05-24T05:57:51.000Z", "distro": "noble", "commit": "88e9004b1b5e1dc366cad2e1d9e1ff9872df8426", "fileid": "131b35dcd28614c08f4a6145f1de5073738e40753ab83cdc2e02e3870f537206", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/herveabdi/actions/runs/26353359509" }, { "r": "4.6.0", "os": "linux", "version": "1.1.2", "date": "2026-05-24T05:57:46.000Z", "distro": "noble", "commit": "88e9004b1b5e1dc366cad2e1d9e1ff9872df8426", "fileid": "604619aaefbb93c980ab9da03b8862918e48f71a2d967f07acd20dede2b41496", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/herveabdi/actions/runs/26353359509" }, { "r": "4.5.3", "os": "mac", "version": "1.1.2", "date": "2026-05-24T05:57:35.000Z", "commit": "88e9004b1b5e1dc366cad2e1d9e1ff9872df8426", "fileid": "f3c29cfaf725a8c73552b8524656ed324dd98922a7a1b71c63b28436ebfe3942", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/herveabdi/actions/runs/26353359509" }, { "r": "4.6.0", "os": "mac", "version": "1.1.2", "date": "2026-05-24T05:57:20.000Z", "commit": "88e9004b1b5e1dc366cad2e1d9e1ff9872df8426", "fileid": "523037019485d71e32a74d3c72cd49de054782beb8e16a4bc3de903a64801442", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/herveabdi/actions/runs/26353359509" }, { "r": "4.6.0", "os": "wasm", "version": "1.1.2", "date": "2026-05-24T05:57:52.000Z", "commit": "88e9004b1b5e1dc366cad2e1d9e1ff9872df8426", "fileid": "0c3a36b21a137fc602d0bc3f4db37d0e1ecc5d289a3c9a5ba2de092185eb87e3", "status": "success", "buildurl": "https://github.com/r-universe/herveabdi/actions/runs/26353359509" }, { "r": "4.7.0", "os": "win", "version": "1.1.2", "date": "2026-05-24T05:56:48.000Z", "commit": "88e9004b1b5e1dc366cad2e1d9e1ff9872df8426", "fileid": "6a1a7afed0015a058b12905593c785c54868e4358a08f88f0c736fad9b3bf0b4", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/herveabdi/actions/runs/26353359509" }, { "r": "4.5.3", "os": "win", "version": "1.1.2", "date": "2026-05-24T05:57:00.000Z", "commit": "88e9004b1b5e1dc366cad2e1d9e1ff9872df8426", "fileid": "02aac92c98d50c77bcc148d8fa1163e5f89e141ecbbc9d4c2a2c865f37f95ef1", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/herveabdi/actions/runs/26353359509" }, { "r": "4.6.0", "os": "win", "version": "1.1.2", "date": "2026-05-24T05:56:44.000Z", "commit": "88e9004b1b5e1dc366cad2e1d9e1ff9872df8426", "fileid": "4ef6653d7fdeb03621951a2f0f19a3d2109c4b07e0679a984d741d242fef4e7a", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/herveabdi/actions/runs/26353359509" } ] }