Adds a new node column data in a tree, summarising a square matrix representing all the pairs between that tree's leaves by applying a function to all the matrix values that relate pairs through the same node.
Arguments
- your_tibble
A
ConvenientTblTreeobject.- your_matrix
Matrix containing values to summarise in the tibble.
- fun
function to apply to the values
- colname
New column name for value being added to tibble.
Value
The your_tibble object in which a new colname column was added
where the your_matrix values summarised on the tree with the fun
function, or the original your_tibble object if the your_matrix argument
was NULL
Examples
makeValueTibble(Halo_Tree, Halo_PercentDiff, colname = "Strand_Randomisation_Index")
#> # A tbl_tree abstraction: 11 × 9
#> # which can be converted to treedata or phylo
#> # via as.treedata or as.phylo
#> parent node branch.length label isTip y Percent_difference
#> <int> <int> <dbl> <chr> <lgl> <dbl> <dbl>
#> 1 11 1 10.6 Halobacterium_lito… TRUE 5 NA
#> 2 11 2 10.6 Halobacterium_nori… TRUE 6 NA
#> 3 10 3 12.3 Halobacterium_sali… TRUE 4 NA
#> 4 8 4 9.85 Haloferax_mediterr… TRUE 1 NA
#> 5 8 5 9.85 Haloferax_volcanii TRUE 2 NA
#> 6 9 6 13.9 Salarchaeum_japoni… TRUE 3 NA
#> 7 7 7 NA NA FALSE 2.69 31.4
#> 8 7 8 5.79 NA FALSE 1.5 19.8
#> 9 7 9 1.75 NA FALSE 3.88 27.8
#> 10 9 10 1.57 NA FALSE 4.75 24.6
#> 11 10 11 1.70 NA FALSE 5.5 21.2
#> # ℹ 2 more variables: Scrambling_index <dbl>, Strand_Randomisation_Index <dbl>