rorqual.morpho is an implementation of the allometric equations in Kahane-Rapport and Goldbogen (2018), allowing users to predict morphological parameters of rorquals from body length measurements.
You can install rorqual.morpho from GitHub with:
Note: uncomment and run the first line if you don’t have devtools installed.
You can use the rorq_*() family of functions to predict morphological parameters. Note: rorq_*() functions will return Balaenoptera acutorostrata (species code ba) parameters for B. bonaerensis (species code bb).
library(rorqual.morpho)
# Predict the body mass and engulfment capacities of three blue whales of different sizes.
rorq_mass(c("bw", "bw", "bw"), c(18, 20, 22))
#> [1] 31530.56 44803.78 61566.25
rorq_engulf(c("bw", "bw", "bw"), c(18, 20, 22))
#> [1] 37.90082 55.77590 79.11127
# Use dplyr to predict fluke and flipper lengths for a tibble of humpback and minke whales
library(dplyr)
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following object is masked from 'package:testthat':
#>
#> matches
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
tribble(
~ species, ~ length,
"mn", 8,
"mn", 11.5,
"mn", 15,
"ba", 4.5,
"ba", 6.75,
"bb", 9
) %>%
mutate(fluke = rorq_fluke(species, length),
flipper = rorq_flipper(species, length))
#> # A tibble: 6 x 4
#> species length fluke flipper
#> <chr> <dbl> <dbl> <dbl>
#> 1 mn 8 2.48 2.51
#> 2 mn 11.5 3.73 3.54
#> 3 mn 15 5.02 4.56
#> 4 ba 4.5 1.20 0.537
#> 5 ba 6.75 1.88 0.889
#> 6 bb 9 2.59 1.27