tab.summary: tab.summary
In iteRates: Parametric rate comparison

Description Usage Arguments Details Value Author(s) References See Also Examples

This function provides an abridged output of results obtained from the comp.fit.subs function by restricting the output to a user provided delta AIC threshold.

1	tab.summary(res, daic = 2, show.rate = FALSE)

`res`	A dataframe obtained from `comp.fit.subs` function.
`daic`	A value indicating a threshold of delta AIC relative to the best fit model for each k to be included in the output.
`show.rate`	A boolean indicting whether the rate parameters are included in the output.

This function will provide a reduced output of the results provided by the comp.fit.subs function by allowing the user to choose a critical delta AIC for each value of k that determines which comparisons are included in the output. The best fit model for each k is included in the output regardless of delta AIC. The show.rate argument indicates whether the rate estimate for each of the subtrees is included in the output.

A dataframe that consists of the following:

`k`	The number of groups
`Groups`	the groupings for each subtree numbered as 1 to the number of subtrees indicated. The numbering corresponds to the order in which subtrees are identified by focal. Groups are separated with 'vs.'.
`gi_rate`	The rate for the ith group in the analysis.
`LL`	The log likelihood for the entire model for a grouping scheme.
`AIC`	Akaike information criterion score for the entire model for a grouping scheme.
`AICc`	Akaike information criterion corrected for sample size.
`dAICc`	The delta AIC across all grouping schemes and k values relative to the best fit model.

Premal Shah, Benjamin Fitzpatrick and James Fordyce.

Shah, P., B. M. Fitzpatrick, and J. A. Fordyce. 2013. A parametric method for assessing diversification rate variation in phylogenetic trees. Evolution 67:368-377.

tab.summary id.subtrees

	## Not run: 
data(hivtree.newick)
cat(hivtree.newick, file = "hivtree.phy", sep = "\n") 
tree.hiv <- read.tree("hivtree.phy") # load tree 
unlink("hivtree.phy") # delete the file "hivtree.phy" 

idHIV<-id.subtrees(tree.hiv)
plot(idHIV$tree,show.node.label=TRUE)
cfsHIV<-comp.fit.subs(idHIV$subtree,focal=c(153,119,96,5),k=4)
tab.summary(cfsHIV)
tab.summary(cfsHIV,daic=1)
tab.summary(cfsHIV,daic=0.01)

## End(Not run)