Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/29641
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dc.contributor.authorAlberti, Gianmarco-
dc.date.accessioned2018-04-30T07:54:36Z-
dc.date.available2018-04-30T07:54:36Z-
dc.date.issued2015-08-03-
dc.identifier.citationAlberti, G. (2015). CAinterprTools : an R package to help interpreting correspondence analysis’ results. SoftwareX, 1-2, 26-31.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/29641-
dc.description.abstractCorrespondence Analysis (CA) is a statistical exploratory technique frequently used in many research fields to graphically visualize the structure of contingency tables. Many programs, both commercial and free, perform CA but none of them as yet provides a visual aid to the interpretation of the results. The ‘CAinterprTools’ package, designed to be used in the free R statistical environment, aims at filling that gap. A novel-to-medium R user has been considered as target. 15 commands enable to easily obtain charts that help (and are relevant to) the interpretation of the CA’s results, freeing the user from the need to inspect and scrutinize tabular CA outputs, and to look up values and statistics on which further calculations are necessary. The package also implements tests to assess the significance of the input table’s total inertia and individual dimensions.en_GB
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rightsinfo:eu-repo/semantics/openAccessen_GB
dc.subjectCorrespondence analysis (Statistics)en_GB
dc.subjectContingency tablesen_GB
dc.titleCAinterprTools : an R package to help interpreting correspondence analysis’ resultsen_GB
dc.typearticleen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1016/j.softx.2015.07.001-
dc.publication.titleSoftwareXen_GB
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