{"id":"https://openalex.org/W3092597169","doi":"https://doi.org/10.32614/rj-2020-027","title":"spinifex: An R Package for Creating a Manual Tour of Low-dimensional Projections of Multivariate Data","display_name":"spinifex: An R Package for Creating a Manual Tour of Low-dimensional Projections of Multivariate Data","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3092597169","doi":"https://doi.org/10.32614/rj-2020-027","mag":"3092597169"},"language":"en","primary_location":{"id":"doi:10.32614/rj-2020-027","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2020-027","pdf_url":"https://journal.r-project.org/archive/2020/RJ-2020-027/RJ-2020-027.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://journal.r-project.org/archive/2020/RJ-2020-027/RJ-2020-027.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041130026","display_name":"Nicholas Spyrison","orcid":"https://orcid.org/0000-0002-8417-0212"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Nicholas Spyrison","raw_affiliation_strings":["Monash University Department of Econometrics and Business Statistics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Monash University Department of Econometrics and Business Statistics","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060227214","display_name":"Dianne Cook","orcid":"https://orcid.org/0000-0002-3813-7155"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Dianne Cook","raw_affiliation_strings":["Monash University Department of Econometrics and Business Statistics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Monash University Department of Econometrics and Business Statistics","institution_ids":["https://openalex.org/I56590836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5060227214"],"corresponding_institution_ids":["https://openalex.org/I56590836"],"apc_list":null,"apc_paid":null,"fwci":0.408,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70376166,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"12","issue":"1","first_page":"243","last_page":"243"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9458000063896179,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9458000063896179,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10048","display_name":"Particle physics theoretical and experimental studies","score":0.9361000061035156,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9122999906539917,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.7543336153030396},{"id":"https://openalex.org/keywords/r-package","display_name":"R package","score":0.6201022863388062},{"id":"https://openalex.org/keywords/multivariate-analysis","display_name":"Multivariate analysis","score":0.42605292797088623},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40451204776763916},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3929922878742218},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.33531174063682556},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2965591549873352},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19667458534240723}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7543336153030396},{"id":"https://openalex.org/C2984074130","wikidata":"https://www.wikidata.org/wiki/Q73539779","display_name":"R package","level":2,"score":0.6201022863388062},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.42605292797088623},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40451204776763916},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3929922878742218},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.33531174063682556},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2965591549873352},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19667458534240723}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.32614/rj-2020-027","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2020-027","pdf_url":"https://journal.r-project.org/archive/2020/RJ-2020-027/RJ-2020-027.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"},{"id":"pmh:oai:digitalcommons.unl.edu:r-journal-1169","is_oa":false,"landing_page_url":"https://digitalcommons.unl.edu/r-journal/171","pdf_url":null,"source":{"id":"https://openalex.org/S4306400577","display_name":"Lincoln (University of Nebraska)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114395901","host_organization_name":"University of Nebraska\u2013Lincoln","host_organization_lineage":["https://openalex.org/I114395901"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"The R Journal","raw_type":"text"},{"id":"pmh:oai:monash.edu:openaire/6013b5e7-b265-4421-9104-cc399ab64841","is_oa":true,"landing_page_url":"https://research.monash.edu/en/publications/6013b5e7-b265-4421-9104-cc399ab64841","pdf_url":null,"source":{"id":"https://openalex.org/S4306402625","display_name":"Monash University Research Portal (Monash University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I56590836","host_organization_name":"Monash University","host_organization_lineage":["https://openalex.org/I56590836"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Spyrison, N & Cook, D 2020, 'spinifex : an R package for creating a manual tour of low-dimensional projections of multivariate data', The R Journal, vol. 12, no. 1, pp. 243-257. https://doi.org/10.32614/rj-2020-027","raw_type":"article"},{"id":"pmh:oai:monash.edu:publications/6013b5e7-b265-4421-9104-cc399ab64841","is_oa":true,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85106838702&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306402625","display_name":"Monash University Research Portal (Monash University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I56590836","host_organization_name":"Monash University","host_organization_lineage":["https://openalex.org/I56590836"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Spyrison , N &amp; Cook , D 2020 , ' spinifex : an R package for creating a manual tour of low-dimensional projections of multivariate data ' , The R Journal , vol. 12 , no. 1 , pp. 243-257 . https://doi.org/10.32614/rj-2020-027","raw_type":"article"}],"best_oa_location":{"id":"doi:10.32614/rj-2020-027","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2020-027","pdf_url":"https://journal.r-project.org/archive/2020/RJ-2020-027/RJ-2020-027.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3092597169.pdf","grobid_xml":"https://content.openalex.org/works/W3092597169.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1581040059","https://openalex.org/W1810028515","https://openalex.org/W1925612170","https://openalex.org/W1978841917","https://openalex.org/W2024060531","https://openalex.org/W2126470108","https://openalex.org/W2322063788","https://openalex.org/W2900786544","https://openalex.org/W2991157178","https://openalex.org/W4249972711","https://openalex.org/W4250603051","https://openalex.org/W4399637284","https://openalex.org/W4399638148","https://openalex.org/W4399638975","https://openalex.org/W4399649744"],"related_works":["https://openalex.org/W2406638334","https://openalex.org/W40745829","https://openalex.org/W1978357124","https://openalex.org/W4316464002","https://openalex.org/W1578824628","https://openalex.org/W2032728545","https://openalex.org/W1570805059","https://openalex.org/W4250754046","https://openalex.org/W4318262572","https://openalex.org/W2036849593"],"abstract_inverted_index":{"Dynamic":[0],"low-dimensional":[1],"linear":[2],"projections":[3,96],"of":[4,30,39,65,72,89,95,116,127,155,168],"multivariate":[5,17,66],"data":[6,18,49,67,163],"collectively":[7],"known":[8],"as":[9,100],"tours":[10],"provide":[11],"an":[12,101],"important":[13],"tool":[14],"for":[15,27,51],"exploring":[16],"and":[19,36,149],"models.":[20],"The":[21,78,92,153],"R":[22],"package":[23],"tourr":[24],"provides":[25,61],"functions":[26,104],"several":[28],"types":[29],"tours:":[31],"grand,":[32],"guided,":[33],"little,":[34],"local":[35],"frozen.":[37],"Each":[38],"these":[40],"can":[41,97],"be":[42,98],"viewed":[43],"dynamically,":[44],"or":[45,86,109],"saved":[46],"into":[47,83],"a":[48,56,62,73,117,142,171],"object":[50],"animation.":[52],"This":[53,135],"paper":[54],"describes":[55],"new":[57],"package,":[58],"spinifex,":[59],"which":[60],"manual":[63,157],"tour":[64,146,158],"where":[68],"the":[69,84,90,107,114,125,130,151,156,166],"projection":[70,131,143,172],"coefficient":[71,115],"single":[74,118],"variable":[75,79,175],"is":[76,80,121,136,159],"controlled.":[77],"rotated":[81],"fully":[82],"projection,":[85],"completely":[87],"out":[88],"projection.":[91],"resulting":[93],"sequence":[94],"displayed":[99],"animation,":[102],"with":[103,141],"from":[105],"either":[106],"plotly":[108],"gganimate":[110],"packages.":[111],"By":[112],"varying":[113],"variable,":[119],"it":[120],"possible":[122],"to":[123,132,147,164,173],"explore":[124],"sensitivity":[126,167],"structure":[128,169],"in":[129,170],"that":[133],"variable.":[134],"particularly":[137],"useful":[138],"when":[139],"used":[140],"pursuit":[144],"guided":[145],"simplify":[148],"understand":[150],"solution.":[152],"use":[154],"applied":[160],"particle":[161],"physics":[162],"illustrate":[165],"specific":[174],"contributions":[176]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
