Most of the times we have two sets of alignment statistics for a pair of genomes, where the target and query roles are exchanged. Sometimes we want to plot only one point per pair. This function produces the averages.
Arguments
- df
A results data frame produced by
formatStats()(therefore) having a properlabcolumn.
Examples
averageResults(Halo_DF)
#> # A tibble: 15 × 235
#> lab aligned_length_Min aligned_length_Q1 aligned_length_Median
#> <chr> <dbl> <dbl> <dbl>
#> 1 "Halobacterium_no… 64 718. 1416.
#> 2 "Halobacterium_sa… 87 778. 1457.
#> 3 "Halobacterium_sa… 76 724. 1345.
#> 4 "Haloferax_medite… 84 562. 972.
#> 5 "Haloferax_medite… 76.5 617 1042
#> 6 "Haloferax_medite… 77 591. 964.
#> 7 "Haloferax_volcan… 72.5 586. 996
#> 8 "Haloferax_volcan… 79 586 1001.
#> 9 "Haloferax_volcan… 77 626 1001.
#> 10 "Haloferax_volcan… 74 733. 1580.
#> 11 "Salarchaeum_japo… 72.5 673. 1256.
#> 12 "Salarchaeum_japo… 77 680. 1236.
#> 13 "Salarchaeum_japo… 79 631 1104
#> 14 "Salarchaeum_japo… 73 566. 942.
#> 15 "Salarchaeum_japo… 76 622. 1004.
#> # ℹ 231 more variables: aligned_length_Mean <dbl>, aligned_length_Q3 <dbl>,
#> # aligned_length_Max <dbl>, aligned_length_L50 <dbl>,
#> # aligned_length_Total <dbl>, aligned_length_N <dbl>,
#> # aligned_score_Min <dbl>, aligned_score_Q1 <dbl>,
#> # aligned_score_Median <dbl>, aligned_score_Mean <dbl>,
#> # aligned_score_Q3 <dbl>, aligned_score_Max <dbl>, aligned_score_L50 <dbl>,
#> # aligned_score_Total <dbl>, aligned_score_N <dbl>, …