Rcontrast(tree, X, path=NULL, ...)
X
contains one observation per species (say, the species mean), then Rcontrast
returns a list with the following components: Contrasts
, a matrix with all phylogenetically independent contrats; Covariance_matrix
, a matrix containing the evolutionary variances (on diagonals) and covariances; Regressions
, a matrix containing the pair-wise bivariate regression coefficients (columns on rows); Correlations
, a correlation matrix of contrasts.
If X
contains more than one sample per species, then Rcontrast
returns a list with the following elements: VarA
, the estimated among-species variance-covariance matrix; VarE
, the estimated within-species (i.e., 'environmental') variance-covariance matrix; VarA.Regression
, a matrix containing the pair-wise bivariate among-species regression coefficients (columns on rows); VarA.Correlations
, a matrix with the among-species evolutionary correlations; VarE.Regressions
, the pair-wise bivariate within-species regression coefficients; VarE.Correlations
, the within-species correlations; nonVa.VarE
, nonVa.VarE.Regressions
, and nonVa.VarA.Correlations
, estimates obtained when VarA
is not included in the model; logLik
and nonVa.logLik
, log-likelihood when VarA
is included (or not) in the model; k
and nonVa.k
the number of parameters estimated in each model; and P
the p-value of a likelihood-ratio test of VarA
, in which df = k - nonVa.k
.quiet
suppress some output to R console (defaults to quiet = FALSE
); and cleanup
remove PHYLIP input/output files after the analysis is completed (defaults to cleanup = TRUE
).pic
, Rcontml
, Rthreshml
data(cotton)
contrasts<-Rcontrast(tree = cotton$tree, X = cotton$data)
Run the code above in your browser using DataLab