growthCum: Models growth allowing for cumulative bin estimation.

In IPMpack: Builds and analyses Integral Projection Models (IPMs).

Description

Generic function to predict the cdf (cummulative density function) of continuous (e.g. size) stage at t+1 given stage at t and a growth object.

Usage

growthCum(size, sizeNext, cov, growthObj)

Arguments

size	vector of current sizes.
sizeNext	vector of sizes in the next time step.
cov	covariate level in this time step (numeric of length 1).
growthObj	a growth object.

Value

a vector of length sizeNext giving the cdf (cummulative density function) of each value of sizeNext.

Author(s)

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

See Also

growth

Examples

dff <- generateData()
gr1 <- makeGrowthObj(dff)
sizeRange <- c(1:20)
sizeInit <- 1
growthCum(sizeInit, sizeRange, data.frame(cov=1), gr1)
plot(growthCum(sizeInit, sizeRange, data.frame(cov=1), gr1), type="l", 
	col = "dark gray", xlab = "Continuous (e.g. size) stage at time t+1", 
		ylab = paste("Cummulative growth to a specific size in t+1 from size ", 
			sizeInit, " at time t"))

IPMpack documentation built on May 2, 2019, 2:36 a.m.