TY - JOUR
T1 - PCCA: A program for phylogenetic canonical correlation analysis
AU - Revell, L.J.
AU - Harrison, A.S.
N1 - Cited By :39
Export Date: 17 April 2018
CODEN: BOINF
Correspondence Address: Revell, L.J.; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, United States; email: [email protected]
Tradenames: PCCA; Phylogenetic Canonical Correlation Analysis
References: Felsenstein, J., Phylogenies and the comparative method (1985) Am. Nat, 125, pp. 1-15; Freckleton, R.P., Phylogenetic analysis and comparative data: A test and review of evidence (2002) Am. Nat, 160, pp. 712-726; Garland Jr., T., Ives, A.R., Using the past to predict the present: Confidence intervals for regression equations in phylogenetic comparative methods (2000) Am. Nat, 155, pp. 346-364; Grafen, A., The phylogenetic regression (1989) Philos. T., Roy. Soc. B, 326, pp. 119-157; Harvey, P.H., Pagel, M.D., (1991) The Comparative Method in Evolutionary Biology, , Oxford University Press, Oxford; James, F.C., McCulloch, C.E., Multivariate analysis in ecology and systematics: Panacea or Pandora's box (1990) Annu. Rev. Ecol. Syst, 21, pp. 129-166; Losos, J.B., Ecomorphology, performance capability, and scaling of West Indian Anolis lizards: An evolutionary analysis (1990) Ecol. Monogr, 60, pp. 369-388; Miles, D.B., Ricklefs, R.E., The correlation between ecology and morphology in deciduous forest passerine birds (1984) Ecology, 65, pp. 1629-1640; Pagel, M., Inferring-the historical patterns of biological evolution (1999) Nature, 401, pp. 877-884; Rencher, A.C., (2002) Methods of Multivariate Analysis, , 2nd edn. John Wiley & Sons, New York; Revell, L.J., Harmon, L.J., Testing quantitative genetic hypotheses about the evolutionary rate matrix for continuous characters (2008) Evol. Ecol. Res, 10, pp. 311-331; Rohlf, F.J., Comparative methods for the analysis of continuous variables: Geometric interpretations (2001) Evolution, 55, pp. 2143-2160
PY - 2008/4
Y1 - 2008/4
N2 - Summary: PCCA (phylogenetic canonical correlation analysis) is a new program for canonical correlation analysis of multivariate, continuously valued data from biological species. Canonical correlation analysis is a technique in which derived variables are obtained from two sets of original variables whereby the correlations between corresponding derived variables are maximized. It is a very useful multivariate statistical method for the calculation and analysis of correlations between character sets. The program controls for species non-independence due to phylogenetic history and computes canonical coefficients, correlations and scores; and conducts hypothesis tests on the canonical correlations. It can also compute a multivariate version of Pagel's Λ, which can then be used in the phylogenetic transformation. © The Author 2008. Published by Oxford University Press. All rights reserved.
AB - Summary: PCCA (phylogenetic canonical correlation analysis) is a new program for canonical correlation analysis of multivariate, continuously valued data from biological species. Canonical correlation analysis is a technique in which derived variables are obtained from two sets of original variables whereby the correlations between corresponding derived variables are maximized. It is a very useful multivariate statistical method for the calculation and analysis of correlations between character sets. The program controls for species non-independence due to phylogenetic history and computes canonical coefficients, correlations and scores; and conducts hypothesis tests on the canonical correlations. It can also compute a multivariate version of Pagel's Λ, which can then be used in the phylogenetic transformation. © The Author 2008. Published by Oxford University Press. All rights reserved.
U2 - 10.1093/bioinformatics/btn065
DO - 10.1093/bioinformatics/btn065
M3 - Research Article
SN - 1367-4803
VL - 24
SP - 1018
EP - 1020
JO - Bioinformatics
JF - Bioinformatics
IS - 7
ER -
SDG 1 No Poverty