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This method plots three dimensional data such as matrices by age and year or age-class, very common in fisheries. The area of each bubble is proportional to the corresponding value in the matrix. Note that bubbles accepts an argument bub.scale to control the relative size of the bubbles. Positive and negative values have separate colours.

Usage

# S4 method for class 'formula,FLQuant'
bubbles(x, data, bub.scale = 2.5, col = c("blue", "red"), ...)

# S4 method for class 'formula,data.frame'
bubbles(x, data, bub.scale = 2.5, col = c("blue", "red"), ...)

# S4 method for class 'formula,FLCohort'
bubbles(x, data, bub.scale = 2.5, ...)

# S4 method for class 'formula,FLQuants'
bubbles(x, data, bub.scale = 2.5, bub.col = gray(c(0.1, 0.1)), ...)

Generic function

bubbles(x, data)

Author

The FLR Team

Examples


data(ple4)
bubbles(age~year, data=catch.n(ple4))

bubbles(age~year, data=catch.n(ple4), bub.scale=5)

bubbles(age~cohort, data=FLCohort(catch.n(ple4)), bub.scale=5)


qt01 <- log(catch.n(ple4)+1)
qt02 <- qt01+rnorm(length(qt01))
flqs <- FLQuants(qt01=qt01, qt02=qt02)
bubbles(age~year|qname, data=flqs, bub.scale=1)


qt03 <- FLQuant(rnorm(100),dimnames=list(age=as.character(1:10),
  year=as.character(1:10)))
bubbles(age~year, data=qt03, bub.scale=7, col=c("black","red"), pch=16)