Dot plots.
Arguing that recent computer programs that try to reproduce dot plots have unfortunately resorted to simple histogram binning instead of using methods that follow the rules for the hand-drawn examples, the writer introduces an algorithm that more accurately represents the dot plots cited in the lite...
| Publicado en: | American Statistician Vol. 53; no. 3; pp. 276 - 282 |
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| Autor principal: | |
| Formato: | Artículo |
| Publicado: |
American Statistical Association
August 1999
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=507647003&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 507647003 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00031305 STT jtl: American Statistician issn: 00031305 maglogo: N pubinfo: dt: August 1999 vid: 53 iid: 3 pid: 543 pub: American Statistical Association artinfo: ui: 507647003 10.2307/2686111 ppf: 276 ppct: 6 formats: tig: atl: Dot plots. aug: au: Wilkinson, Leland su: Graphic methods in statistics Kernel functions sug: subj: Graphic methods in statistics Kernel functions ab: Arguing that recent computer programs that try to reproduce dot plots have unfortunately resorted to simple histogram binning instead of using methods that follow the rules for the hand-drawn examples, the writer introduces an algorithm that more accurately represents the dot plots cited in the literature. He explains that the dot plot reviewed depicts individual observations on a continuous scale using a dot or other symbol. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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