Graphical sensitivity analysis for comparative methods

Generic function for plotting results from any sensitivity analysis performed with 'sensiPhy'

sensi_plot(x, ...)

Arguments

x	any output from the sensiPhy package.
...	further arguments to methods

Details

sensi_plot recognize and print different sets of graphs depending on the function that generated 'x'. See the links below for details about the graphs generated for each sensiPhy function:

• clade_phylm: sensi_plot.sensiClade

• influ_phylm: sensi_plot.sensiInflu

• samp_phylm: sensi_plot.sensiSamp

• intra_phylm: sensi_plot.sensiIntra

• tree_phylm: sensi_plot.sensiTree

  PGLS regressions (interacting uncertainties):

• tree_intra_phylm: sensi_plot.sensiTree_Intra

• intra_clade_phylm: sensi_plot.sensiIntra_Clade

• intra_influ_phylm: sensi_plot.sensiIntra_Influ

• intra_samp_phylm: sensi_plot.sensiIntra_Samp

• tree_clade_phylm: sensi_plot.sensiTree_Clade

• tree_influ_phylm: sensi_plot.sensiTree_Influ

• tree_samp_phylm: sensi_plot.sensiTree_Samp

  Phylogenetic signal:

• clade_physig: sensi_plot.clade.physig

• influ_physig: sensi_plot.influ.physig

• samp_physig: sensi_plot.samp.physig

• tree_physig: sensi_plot.tree.physig

• intra_physig: sensi_plot.intra.physig

  trait evolution (continuous & discrete characters):

• clade_continuous & _discrete sensi_plot.sensiClade.TraitEvol

• influ_continuous & _discrete sensi_plot.sensiInflu.TraitEvol

• tree_continuous & _discrete sensi_plot.sensiTree.TraitEvol

• samp_continuous & _discrete sensi_plot.sensiSamp.TraitEvol

References

The function `multiplot`, developed by Winston Chang, is used inside sensi_plot to print multiple graphs in one frame. The source code is available here: http://www.cookbook-r.com/Graphs/Multiple_graphs_on_one_page_(ggplot2)/