{"data":{"id":"10.6084/m9.figshare.1626652","type":"dois","attributes":{"doi":"10.6084/m9.figshare.1626652","prefix":"10.6084","suffix":"m9.figshare.1626652","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Gloor, Gregory B.","nameType":"Personal","givenName":"Gregory B.","familyName":"Gloor","affiliation":[],"nameIdentifiers":[]},{"name":"Macklaim, Jean M.","nameType":"Personal","givenName":"Jean M.","familyName":"Macklaim","affiliation":[],"nameIdentifiers":[]},{"name":"Fernandes, Andrew D.","nameType":"Personal","givenName":"Andrew D.","familyName":"Fernandes","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Displaying Variation in Large Datasets: Plotting a Visual Summary of Effect Sizes"}],"publisher":"Taylor \u0026 Francis","container":{},"publicationYear":2015,"subjects":[{"subject":"Physiology"},{"subject":"FOS: Biological sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Biological sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Biotechnology"},{"subject":"Ecology"},{"subject":"69999 Biological Sciences not elsewhere classified","subjectScheme":"FOR"},{"subject":"19999 Mathematical Sciences not elsewhere classified","subjectScheme":"FOR"},{"subject":"FOS: Mathematics","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Mathematics","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Science Policy"}],"contributors":[],"dates":[{"date":"2015-12-19","dateType":"Created"},{"date":"2016-08-05","dateType":"Updated"},{"date":"2015","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.1080/10618600.2015.1131161","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["6042811 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Displaying the component-wise between-group differences high-dimensional datasets is problematic because widely used plots such as Bland–Altman and Volcano plots do not show what they are colloquially \u003ci\u003ebelieved\u003c/i\u003e to show. Thus, it is difficult for the experimentalist to grasp why the between-group difference of one component is “significant” while that of another component is not. Here, we propose a type of “Effect Plot” that displays between-group differences in relation to respective underlying variability for every component of a high-dimensional dataset. We use synthetic data to show that such a plot captures the essence of what determines “significance” for between-group differences in each component, and provide guidance in the interpretation of the plot. Supplementary online materials contain the code and data for this article and include simple R functions to produce an effect plot from suitable datasets.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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","url":"https://tandf.figshare.com/articles/dataset/Displaying_Variation_in_Large_Datasets_Plotting_a_Visual_Summary_of_Effect_Sizes/1626652","contentUrl":null,"metadataVersion":3,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"viewsOverTime":[],"downloadCount":0,"downloadsOverTime":[],"referenceCount":0,"citationCount":0,"citationsOverTime":[],"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2015-12-19T00:35:01.000Z","registered":"2015-12-19T00:35:02.000Z","published":"2015","updated":"2020-09-04T13:55:47.000Z"},"relationships":{"client":{"data":{"id":"figshare.ars","type":"clients"}},"provider":{"data":{"id":"otjm","type":"providers"}},"media":{"data":{"id":"10.6084/m9.figshare.1626652","type":"media"}},"references":{"data":[]},"citations":{"data":[]},"parts":{"data":[]},"partOf":{"data":[]},"versions":{"data":[]},"versionOf":{"data":[]}}}}