{"id":"https://openalex.org/W3136320168","doi":"https://doi.org/10.1080/03610918.2021.1904142","title":"Constructing UpSet plot for survey data with weights using SAS and R software","display_name":"Constructing UpSet plot for survey data with weights using SAS and R software","publication_year":2021,"publication_date":"2021-03-23","ids":{"openalex":"https://openalex.org/W3136320168","doi":"https://doi.org/10.1080/03610918.2021.1904142","mag":"3136320168"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2021.1904142","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2021.1904142","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112234642","display_name":"Camilo G\u00f3mez","orcid":null},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Camilo Gomez","raw_affiliation_strings":["Department of Population Health Sciences, College of Medicine, University of Central Florida, Orlando, Florida, USA"],"affiliations":[{"raw_affiliation_string":"Department of Population Health Sciences, College of Medicine, University of Central Florida, Orlando, Florida, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038823071","display_name":"Alexander V. Goponenko","orcid":"https://orcid.org/0000-0001-6490-6838"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander V. Goponenko","raw_affiliation_strings":["Department of Computer Science, College of Engineering and Computer Science, University of Central Florida, Orlando, Florida, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, College of Engineering and Computer Science, University of Central Florida, Orlando, Florida, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052969422","display_name":"Julia N. Soulakova","orcid":null},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Julia N. Soulakova","raw_affiliation_strings":["Department of Population Health Sciences, College of Medicine, University of Central Florida, Orlando, Florida, USA"],"affiliations":[{"raw_affiliation_string":"Department of Population Health Sciences, College of Medicine, University of Central Florida, Orlando, Florida, USA","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052969422"],"corresponding_institution_ids":["https://openalex.org/I106165777"],"apc_list":null,"apc_paid":null,"fwci":0.8321,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.70623742,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"52","issue":"6","first_page":"2320","last_page":"2326"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10060","display_name":"Smoking Behavior and Cessation","score":0.9445000290870667,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10060","display_name":"Smoking Behavior and Cessation","score":0.9445000290870667,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/upset","display_name":"Upset","score":0.8782461881637573},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.7232846617698669},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5872858762741089},{"id":"https://openalex.org/keywords/plot","display_name":"Plot (graphics)","score":0.5571359395980835},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5038272738456726},{"id":"https://openalex.org/keywords/scatter-plot","display_name":"Scatter plot","score":0.5028290152549744},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.49901247024536133},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.45940011739730835},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42836976051330566},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3363395929336548},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3200736939907074},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09779265522956848},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09260150790214539},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.0923217236995697}],"concepts":[{"id":"https://openalex.org/C2778002589","wikidata":"https://www.wikidata.org/wiki/Q2406791","display_name":"Upset","level":2,"score":0.8782461881637573},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.7232846617698669},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5872858762741089},{"id":"https://openalex.org/C167651023","wikidata":"https://www.wikidata.org/wiki/Q1474611","display_name":"Plot (graphics)","level":2,"score":0.5571359395980835},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5038272738456726},{"id":"https://openalex.org/C31462909","wikidata":"https://www.wikidata.org/wiki/Q1045782","display_name":"Scatter plot","level":2,"score":0.5028290152549744},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.49901247024536133},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.45940011739730835},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42836976051330566},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3363395929336548},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3200736939907074},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09779265522956848},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09260150790214539},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0923217236995697}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2021.1904142","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2021.1904142","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8500000238418579,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1973012451","https://openalex.org/W2322212278","https://openalex.org/W2567289819","https://openalex.org/W2582743722","https://openalex.org/W2924057907","https://openalex.org/W2950199265","https://openalex.org/W2952615074","https://openalex.org/W3013116884","https://openalex.org/W3205693007","https://openalex.org/W4239152817"],"related_works":["https://openalex.org/W4320303648","https://openalex.org/W3214510223","https://openalex.org/W3112288064","https://openalex.org/W2263439615","https://openalex.org/W2489311714","https://openalex.org/W3019306865","https://openalex.org/W2615990358","https://openalex.org/W3112335861","https://openalex.org/W4390570946","https://openalex.org/W4206659841"],"abstract_inverted_index":{"There":[0],"is":[1],"a":[2,35,179],"lack":[3],"of":[4,47,101,108,124,154,170,186],"data":[5,15,27,171,192],"visualization":[6],"tools,":[7],"such":[8],"as":[9],"UpSet":[10,45,93,143,184],"plot,":[11],"suitable":[12],"for":[13,111,156,168,182],"survey":[14,191],"collected":[16],"via":[17],"complex":[18,174],"sampling.":[19],"Ignoring":[20],"the":[21,26,44,56,70,76,81,92,99,102,106,119,132,138,149,162],"design":[22],"specifications":[23],"when":[24],"plotting":[25],"could":[28],"result":[29],"in":[30,85,95,105],"ambiguous":[31],"findings.":[32],"We":[33,97,159],"discuss":[34],"two-step":[36,103],"approach":[37],"that":[38,161],"can":[39,165],"be":[40,166],"used":[41],"to":[42,64,90,131,137,147],"construct":[43,91],"plots":[46,94,144,185],"weighted":[48,52,61],"frequencies":[49,53,62],"and":[50,87,176],"relative":[51],"(percentages).":[54],"In":[55,75,118],"first":[57],"step":[58],"we":[59,79,121],"compute":[60],"corresponding":[63],"all":[65],"possible":[66],"intersection":[67,187],"sets":[68,153,188],"using":[69],"SAS\u00ae":[71],"Survey":[72],"Package":[73],"software.":[74],"second":[77],"step,":[78],"import":[80],"SAS":[82],"output":[83],"table":[84],"R":[86],"use":[88,113],"it":[89],"R.":[96],"illustrate":[98],"application":[100],"method":[104,164],"study":[107,120],"perceived":[109],"reasons":[110,155],"e-cigarette":[112,116,157],"among":[114],"current":[115],"users.":[117],"analyzed":[122],"reports":[123],"adults":[125],"(n":[126],"=":[127],"3,614)":[128],"who":[129],"responded":[130],"2014\u201315":[133],"Tobacco":[134],"Use":[135],"Supplement":[136],"Current":[139],"Population":[140],"Survey.":[141],"The":[142],"were":[145],"constructed":[146],"identify":[148],"most":[150],"commonly":[151],"reported":[152],"use.":[158],"expect":[160],"discussed":[163],"adopted":[167],"analysis":[169],"from":[172],"other":[173],"surveys":[175],"thus,":[177],"offer":[178],"valuable":[180],"tool":[181],"constructing":[183],"based":[189],"on":[190],"with":[193],"weights.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
