| addPdfGrowthPic | R Documentation | 
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  | 
| 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)
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