agelenprob: agelenprob

In nikolaifish/bamExtras: Functions and Data in Support of Stock Assessments with the Beaufort Assessment Model (BAM)

agelenprob

Description

Build age-length probability matrix associated with a set of length comps

Usage

agelenprob(
  age,
  len,
  binmid_lenc,
  cv_lenc,
  plot = FALSE,
  label = TRUE,
  label_min = 0.01
)

Arguments

age	vector of ages
len	vector of lengths corresponding to age
binmid_lenc	vector of lengths corresponding to midpoints of length composition bins. These do not need to match len.
cv_lenc	cv associated with variation in length at age associated with lenc
plot	logical. If TRUE, plot an image of the resulting probability matrix
label	logical. If TRUE, add probabilities as text to image plot
label_min	numeric. Set minimum probability to label in plot

Author(s)

Kyle Shertzer and Nikolai Klibansky

Examples

## Not run: 
rdat <- rdat_RedSnapper
agelenprob(
  age=rdat$a.series$age,
  len=rdat$a.series$length,
  binmid_lenc=as.numeric(colnames(rdat$comp.mats$lcomp.cHL.ob)),
  cv_lenc=rdat$parm.cons$len.cv.val.L[8],
  plot=TRUE)

## End(Not run)

nikolaifish/bamExtras documentation built on July 21, 2023, 8:26 a.m.