1984
DOI: 10.1093/sysbio/33.4.408
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Morphometric Variation in Introduced Populations of the Common Myna (Acridotheres tristis): An Application of the Jackknife to Principal Component Analysis

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Cited by 42 publications
(27 citation statements)
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“…These results suggest that little multicolinearity exists among variables; therefore, none of the variables were combined or removed for other analyses. Furthermore, no other interpretations from these analyses were made due to dangers in interpreting factor analyses in which so little of the variance can be explained (Gibson et al 1984).…”
Section: Resultsmentioning
confidence: 99%
“…These results suggest that little multicolinearity exists among variables; therefore, none of the variables were combined or removed for other analyses. Furthermore, no other interpretations from these analyses were made due to dangers in interpreting factor analyses in which so little of the variance can be explained (Gibson et al 1984).…”
Section: Resultsmentioning
confidence: 99%
“…The loadings on this axis were fairly similar and we wanted to determine whether the differences on the first axis were due to size alone. To determine if this axis was only a size axis, we generated 99% confidence limits for the eigenvector values for the different variables by jackknifing the data (Efron 1982;Gibson et al 1984;Mosteller and Tukey 1977) wherein the units removed from each analysis were individual plants. This allowed us to compare the first eigenvector from the leaf data with a vector of isometry, i.e., one which represents size alone (Pimentel 1979).…”
Section: Resultsmentioning
confidence: 99%
“…This constancy suggests that a limited number of evolutionary accessible trajectories is a widespread and persistent feature among natural populations. If so, then this may provide an explanation for the patterns of multivariate morphological variation found in several taxa (Sokal 1978;Sokal et al 1980;Sokal and Riska 1981;Gibson et al 1984;Voss et al 1990;Armbruster 1991;Bjorklund 1991;Bjorklund and Merila 1993) where almost all variation relates to variation in one dimension, such as size. Clearly, more genetic data are needed to draw more compelling conclusions, but in the meantime, the patterns of phenotypic variation in growth trajectories in addition to the pattern of variation among taxa suggest that the number of evolutionary degrees of freedom is limited.…”
Section: Discussionmentioning
confidence: 99%