Visualizing Age-Length Keys — More

I recently posted on the addition of ageKeyPlot() to the FSA package for visualizing age-length keys. Since that post, I have added one more type of plot as illustrated below. This post should be considered as an extension of the previous post.

The FSA package is loaded and the same example age-length key is constructed with the following.

library(FSA)

data(WR79)
# get the age sample from the data frame
WR.age <- Subset(WR79, !is.na(age))
# add length categories
WR.age.mod <- lencat(~len,data=WR.age,startcat=35,w=5)
# create age-length key
raw <- table(WR.age.mod$LCat, WR.age.mod$age)
WR.key <- prop.table(raw, margin=1)
round(WR.key,3) # round() for display only

##      
##           4     5     6     7     8     9    10    11
##   35  1.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
##   40  1.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
##   45  1.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
##   50  1.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
##   55  1.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
##   60  0.600 0.400 0.000 0.000 0.000 0.000 0.000 0.000
##   65  0.000 1.000 0.000 0.000 0.000 0.000 0.000 0.000
##   70  0.000 1.000 0.000 0.000 0.000 0.000 0.000 0.000
##   75  0.000 0.889 0.111 0.000 0.000 0.000 0.000 0.000
##   80  0.000 0.250 0.750 0.000 0.000 0.000 0.000 0.000
##   85  0.000 0.000 0.909 0.091 0.000 0.000 0.000 0.000
##   90  0.000 0.000 0.263 0.632 0.105 0.000 0.000 0.000
##   95  0.000 0.000 0.059 0.706 0.176 0.000 0.059 0.000
##   100 0.000 0.000 0.000 0.556 0.167 0.278 0.000 0.000
##   105 0.000 0.000 0.000 0.286 0.429 0.143 0.143 0.000
##   110 0.000 0.000 0.000 0.200 0.200 0.200 0.200 0.200
##   115 0.000 0.000 0.000 0.000 0.000 0.000 1.000 0.000

Bubble Plot

A “bubble plot” of the proportion of fish in each age for a given length is constructed by including type="bubble" in ageKeyPlot(). The resulting plot shows a circle for each age and length combination in the age-length key and the area of the circle is scaled to be proportional to the percentage of fish of that length that are that age. An example plot is created as follows.

ageKeyPlot(WR.key,type="bubble")

For example, 100% of the 40-mm length category were age-4, but the ages are much more spread out in the 110-mm length category.

Installing the Latest FSA

Note that the code below requires the latest version of FSA (version 0.4.6). I am now distributing FSA through GitHub; see these new install instructions.