Description Usage Arguments Value Author(s) References Examples
This function calculates the phylogenetic variance (Brownian variance, or rate) of the data given the tree and model of evolution
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rateData |
an object of class |
rate |
a vector of relative rate parameters. The length of the vector is equal to the number of rates being estimated. If |
common.mean |
a logical specififying whether each rate category should have its own mean ( |
lambda.est |
Logical. Fit Pagel's lambda. |
lambda |
Numeric value for lambda from 0-1. |
meserr |
Logical. Include measurement error. |
phylo.var phylogenetic variance (Brownian variance)
Gavin Thomas, Rob Freckleton
Thomas GH, Freckleton RP, & Szekely T. 2006. Comparative analyses of the influence of developmental mode on phenotypic diversification rates in shorebirds. Proceedings of the Royal Society B 273, 1619-1624. @references Thomas GH, Meiri S, & Phillimore AB. 2009. Body size diversification in Anolis: novel environments and island effects. Evolution 63, 2017-2030.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | ## Read in phylogeny and data from Thomas et al. (2009)
data(anolis.tree)
data(anolis.data)
## Convert data to class rateData with a rateMatrix object as input
anolis.rateMatrix <- as.rateMatrix(phy=anolis.tree, x="geo_ecomorph", data=anolis.data)
anolis.rateData <- as.rateData(y="Female_SVL", x="geo_ecomorph",
rateMatrix = anolis.rateMatrix, phy=NULL, data=anolis.data, log.y=TRUE)
# A model with a different rate in each of the four groups. The 'fixed' command is used to determine
# whether a particular rate is to be constrained or not. Use '1' to fix a group and 'FALSE' to show
# that the parameter is not fixed and should be estimated. The values should be entered in the same
# order as the ranking of the groups. That is, group 0 (small islands) takes position one in the
# fixed vector, group 1 (large island trunk crown and trunk ground) takes position 2 and so on.
# The default is to allow each group to take a different mean.
phyloVar(anolis.rateData, rate=c(1,2,1,1), common.mean=FALSE)
# common mean for all groups
phyloVar(anolis.rateData, rate=c(1,2,1,1), common.mean=TRUE)
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