Description Usage Arguments Details Value Author(s) See Also Examples
Display the highest ranking windows measured by slideAnalyses.
| 1 | rankSlidWin(slidWin, criteria = "mean_distance", num = 10)
 | 
| slidWin | An object of class ‘slidWin’, made using
 | 
| criteria | Name of criteria to sort by. Can be any of the following:
 | 
| num | Number of windows to return. Default of 10. | 
The criteria for rankSlidWin correspond to the variables outputted by
slideAnalyses and are sorted in the following manner:
| rankSlidWincriterion: | slideAnalysesoutput: | Sorting method: | 
| "mean_distance" | "dist_mean_out" | Ascending | 
| "monophyly" | "win_mono_out" | Ascending | 
| "clade_comparison" | "comp_out" | Ascending | 
| "clade_comp_shallow" | "comp_depth_out" | Ascending | 
| "zero_noncon" | "noncon_out" | Descending | 
| "zero_distances" | "zero_out" | Descending | 
| "diag_nuc" | "nd_out" | Ascending | 
Given a sequence of 1:10, the ascending method of sorting considers 10 as high. The descending method considers 1 as high.
The "all" criterion returns the windows that have the highest
cumulative total score over all criteria.
A data frame giving the values of the measures calculated by
slideAnalyses, ranked to show the top 10 positions based on
the criterion given.
Samuel Brown <s_d_j_brown@hotmail.com>
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | data(dolomedes)
doloDist <- ape::dist.dna(dolomedes)
doloSpp <- substr(dimnames(dolomedes)[[1]], 1, 5)
doloSlide <- slideAnalyses(dolomedes, doloSpp, 200, interval = 10, treeMeasures = TRUE)
rankSlidWin(doloSlide)
rankSlidWin(doloSlide, criteria = "zero_distances")
doloSlide2 <- slideAnalyses(dolomedes, doloSpp, 200, interval = 10, treeMeasures = FALSE)
rankSlidWin(doloSlide2)
doloSlide3 <- slideAnalyses(dolomedes, doloSpp, 200, interval = 10, distMeasures = FALSE, 
    treeMeasures = TRUE)
rankSlidWin(doloSlide3)
 | 
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.