Plot von Bertalanffy or length-weight fits

Plot von Bertalanffy or length-weight fits

plot_growth(object_female, object_male, object_all, type = c("vb",
  "length-weight"), downsample = 2000L, pt_alpha = 0.2,
  xlab = "Age (years)", ylab = "Length (cm)", seed = 42,
  lab_x = 0.45, lab_y = 0.3, lab_x_gap = 0.3, lab_y_gap = 0.06,
  col = c(Female = "black", Male = "grey40"))

plot_vb(..., type = "vb")

plot_length_weight(..., type = "length-weight", xlab = "Length (cm)",
  ylab = "Weight (kg)", lab_x = 0.1, lab_y = 0.9, lab_x_gap = 0.35)

Arguments

object_female	Output from fit_length_weight() or fit_vb().
object_male	Output from fit_length_weight() or fit_vb().
object_all	Output from fit_length_weight() or fit_vb().
type	von Bertalanffy or length-weight fits?
downsample	Downsample the individual fish to plot down to this number.
pt_alpha	Transparency for the points.
xlab	Label for the x axis.
ylab	Label for the y axis.
seed	A random seed value that only comes into play for downsampling.
lab_x	Fraction from left to place text labels.
lab_y	Fraction from bottom to place text labels.
lab_x_gap	Horizontal gap between text labels.
lab_y_gap	The vertical gap between text labels.
col	A named character vector declaring the colors for female and male fish.
...	Arguments to pass to plot_growth().

Details

You can include object_female and/or object_male or object_all depending on whether the model was fit to female, male, or both sexes combined.

Examples

# d <- get_survey_samples("pacific ocean perch")
d <- pop_samples
model_f <- fit_length_weight(d, sex = "female")
#> Note: Using Makevars in /Users/seananderson/.R/Makevars 
model_m <- fit_length_weight(d, sex = "male")
plot_length_weight(object_female = model_f, object_male = model_m)

model_f <- fit_vb(d, sex = "female")
#> Warning: NA/NaN function evaluation
model_m <- fit_vb(d, sex = "male")
#> Warning: NA/NaN function evaluation
plot_vb(object_female = model_f, object_male = model_m)