This function gets the variance explained by each axis in the distance matrix
Value
Returns a dataframe containing 1 observation and n variables, depending of the number of input sequences
Examples
get_variance(distance_matrix)
#> # A tibble: 1 × 616
#> `1` `2` `3` `4` `5` `6` `7` `8` `9` `10` `11` `12`
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 75.3 14.3 7.05 2.06 0.504 0.281 0.156 0.133 0.0468 0.0298 0.0227 0.0174
#> # ℹ 604 more variables: `13` <dbl>, `14` <dbl>, `15` <dbl>, `16` <dbl>,
#> # `17` <dbl>, `18` <dbl>, `19` <dbl>, `20` <dbl>, `21` <dbl>, `22` <dbl>,
#> # `23` <dbl>, `24` <dbl>, `25` <dbl>, `26` <dbl>, `27` <dbl>, `28` <dbl>,
#> # `29` <dbl>, `30` <dbl>, `31` <dbl>, `32` <dbl>, `33` <dbl>, `34` <dbl>,
#> # `35` <dbl>, `36` <dbl>, `37` <dbl>, `38` <dbl>, `39` <dbl>, `40` <dbl>,
#> # `41` <dbl>, `42` <dbl>, `43` <dbl>, `44` <dbl>, `45` <dbl>, `46` <dbl>,
#> # `47` <dbl>, `48` <dbl>, `49` <dbl>, `50` <dbl>, `51` <dbl>, `52` <dbl>, …