addPdfGrowthPic: Adds probability density functions of density function of...
In IPMpack: Builds and analyses Integral Projection Models (IPMs).

Description Usage Arguments Value Author(s) See Also Examples

Function generates pdfs (probability density functions) corresponding to chosen sizes and adds them to a figure using growth methods.

addPdfGrowthPic(respType = "sizeNext", sizesPlotAt = c(20, 50, 60),
                            sizeRange = c(20, 400), incrRange = c(-10, 50), 
                            scalar = 100, growthObjList,
                            cols = 1:5,
                            cov = data.frame(covariate=1),
                            minShow = 1e-2,
                            jitt = 2,  
                            ...)

`respType`	character string identifying the response variable for the growthModelComp. wither `"sizeNext"`, `"logincr"` or `"incr"`. Defaults to `sizeNext`.
`sizesPlotAt`	vector, list of sizes at which pdfs should be plotted.
`sizeRange`	sizeRange for which pdf should be estimated
`incrRange`	increment range for which pdf should be estimated
`scalar`	value by which pdf may be multiplied to improve visibility
`growthObjList`	list of growth objects for which pdfs are desired to be plotted
`cols`	colours corresponding to the list of growth objects for plotting
`cov`	a data-frame with one row containing all covariates other than size related covariates; defaults to 1; will be ignored if no covariates are fitted
`minShow`	minimum value below which pdf lines will not be shown (to avoid ugly vertical lines)
`jitt`	amount by which sequential pdfs should be separated on the x axis, for visibility
`...`	extra arguments to pass to the plot function.

none

C. Jessica E. Metcalf, Sean M. McMahon, Roberto Salguero-Gomez, Eelke Jongejans & Cory Merow.

makeGrowthObj,makeSurvObj,plotGrowthModelComp, plotSurvModelComp

# Data with size and sizeNext
dff <- generateData()

a1 <- growthModelComp(dff, makePlot = TRUE)
addPdfGrowthPic(respType = "sizeNext", 
	sizesPlotAt = c(2, 6, 10), scalar = 1, jitt = 0.1, 
		sizeRange = c(-5, 25), 
			growthObjList = a1$growthObjects, cols = 2:5)