This function creates a matrix where columns 1 and 2 correspond to tip labels and column 3 gives the depth of the MRCA of that pair of tips.
It is strongly based on treeVec and is used by relatedTreeDist and treeConcordance where tip labels belong to "categories".
tipsMRCAdepths(tree)tree <- rtree(10)
plot(tree)
 tipsMRCAdepths(tree)
#>       tip1  tip2  rootdist
#>  [1,] "t1"  "t10" "1"     
#>  [2,] "t1"  "t2"  "0"     
#>  [3,] "t1"  "t3"  "0"     
#>  [4,] "t1"  "t4"  "1"     
#>  [5,] "t1"  "t5"  "1"     
#>  [6,] "t1"  "t6"  "1"     
#>  [7,] "t1"  "t7"  "1"     
#>  [8,] "t1"  "t8"  "0"     
#>  [9,] "t1"  "t9"  "0"     
#> [10,] "t10" "t2"  "0"     
#> [11,] "t10" "t3"  "0"     
#> [12,] "t10" "t4"  "2"     
#> [13,] "t10" "t5"  "2"     
#> [14,] "t10" "t6"  "2"     
#> [15,] "t10" "t7"  "2"     
#> [16,] "t10" "t8"  "0"     
#> [17,] "t10" "t9"  "0"     
#> [18,] "t2"  "t3"  "2"     
#> [19,] "t2"  "t4"  "0"     
#> [20,] "t2"  "t5"  "0"     
#> [21,] "t2"  "t6"  "0"     
#> [22,] "t2"  "t7"  "0"     
#> [23,] "t2"  "t8"  "2"     
#> [24,] "t2"  "t9"  "1"     
#> [25,] "t3"  "t4"  "0"     
#> [26,] "t3"  "t5"  "0"     
#> [27,] "t3"  "t6"  "0"     
#> [28,] "t3"  "t7"  "0"     
#> [29,] "t3"  "t8"  "3"     
#> [30,] "t3"  "t9"  "1"     
#> [31,] "t4"  "t5"  "3"     
#> [32,] "t4"  "t6"  "3"     
#> [33,] "t4"  "t7"  "3"     
#> [34,] "t4"  "t8"  "0"     
#> [35,] "t4"  "t9"  "0"     
#> [36,] "t5"  "t6"  "5"     
#> [37,] "t5"  "t7"  "4"     
#> [38,] "t5"  "t8"  "0"     
#> [39,] "t5"  "t9"  "0"     
#> [40,] "t6"  "t7"  "4"     
#> [41,] "t6"  "t8"  "0"     
#> [42,] "t6"  "t9"  "0"     
#> [43,] "t7"  "t8"  "0"     
#> [44,] "t7"  "t9"  "0"     
#> [45,] "t8"  "t9"  "1"
tipsMRCAdepths(tree)
#>       tip1  tip2  rootdist
#>  [1,] "t1"  "t10" "1"     
#>  [2,] "t1"  "t2"  "0"     
#>  [3,] "t1"  "t3"  "0"     
#>  [4,] "t1"  "t4"  "1"     
#>  [5,] "t1"  "t5"  "1"     
#>  [6,] "t1"  "t6"  "1"     
#>  [7,] "t1"  "t7"  "1"     
#>  [8,] "t1"  "t8"  "0"     
#>  [9,] "t1"  "t9"  "0"     
#> [10,] "t10" "t2"  "0"     
#> [11,] "t10" "t3"  "0"     
#> [12,] "t10" "t4"  "2"     
#> [13,] "t10" "t5"  "2"     
#> [14,] "t10" "t6"  "2"     
#> [15,] "t10" "t7"  "2"     
#> [16,] "t10" "t8"  "0"     
#> [17,] "t10" "t9"  "0"     
#> [18,] "t2"  "t3"  "2"     
#> [19,] "t2"  "t4"  "0"     
#> [20,] "t2"  "t5"  "0"     
#> [21,] "t2"  "t6"  "0"     
#> [22,] "t2"  "t7"  "0"     
#> [23,] "t2"  "t8"  "2"     
#> [24,] "t2"  "t9"  "1"     
#> [25,] "t3"  "t4"  "0"     
#> [26,] "t3"  "t5"  "0"     
#> [27,] "t3"  "t6"  "0"     
#> [28,] "t3"  "t7"  "0"     
#> [29,] "t3"  "t8"  "3"     
#> [30,] "t3"  "t9"  "1"     
#> [31,] "t4"  "t5"  "3"     
#> [32,] "t4"  "t6"  "3"     
#> [33,] "t4"  "t7"  "3"     
#> [34,] "t4"  "t8"  "0"     
#> [35,] "t4"  "t9"  "0"     
#> [36,] "t5"  "t6"  "5"     
#> [37,] "t5"  "t7"  "4"     
#> [38,] "t5"  "t8"  "0"     
#> [39,] "t5"  "t9"  "0"     
#> [40,] "t6"  "t7"  "4"     
#> [41,] "t6"  "t8"  "0"     
#> [42,] "t6"  "t9"  "0"     
#> [43,] "t7"  "t8"  "0"     
#> [44,] "t7"  "t9"  "0"     
#> [45,] "t8"  "t9"  "1"