Models growth allowing for cumulative bin estimation.

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

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"))

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(IPMpack)
Loading required package: Matrix
Loading required package: MASS
Loading required package: nlme
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/IPMpack/growthCum.Rd_%03d_medium.png", width=480, height=480)
> ### Name: growthCum
> ### Title: Models growth allowing for cumulative bin estimation.
> ### Aliases: growthCum
> 
> ### ** Examples
> 
> dff <- generateData()
> gr1 <- makeGrowthObj(dff)
> sizeRange <- c(1:20)
> sizeInit <- 1
> growthCum(sizeInit, sizeRange, data.frame(cov=1), gr1)
 [1] 0.5393145 0.8654465 0.9826368 0.9990894 0.9999814 0.9999999 1.0000000
 [8] 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000
[15] 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000
> 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"))
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>