{"title":"Tscore: A T-score profile pattern analysis program","authors":"Anthony Ayiomamitis , Norman C. Sullivan","doi":"10.1016/0010-468X(85)90012-1","DOIUrl":null,"url":null,"abstract":"<div><p>A program has been written to determine T-score profile patterns, thus allowing the immediate assessment of morphological similarities and differences between taxa. For a given data set, the program will produce T-scores, T-score correlation coefficients and associated significance statistics, weighted means and standard deviations for all input variables, and a graphic display of the T-score profile pattern(s). This program should prove to be of great interest to physical anthropologists, zoologists and other researchers in the life sciences with an interest in taxonomy, systematics and phylogeny.</p></div>","PeriodicalId":75731,"journal":{"name":"Computer programs in biomedicine","volume":"19 2","pages":"Pages 209-216"},"PeriodicalIF":0.0000,"publicationDate":"1985-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0010-468X(85)90012-1","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer programs in biomedicine","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0010468X85900121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A program has been written to determine T-score profile patterns, thus allowing the immediate assessment of morphological similarities and differences between taxa. For a given data set, the program will produce T-scores, T-score correlation coefficients and associated significance statistics, weighted means and standard deviations for all input variables, and a graphic display of the T-score profile pattern(s). This program should prove to be of great interest to physical anthropologists, zoologists and other researchers in the life sciences with an interest in taxonomy, systematics and phylogeny.