# exp3: Parallel or double first order exponential In nlraa: Non-linear regression for agricultural applications

## Description

Parallel or double first order exponential. This is equation 1.3 in Table S.1 referenced in the paper below.

## Usage

 `1` ```exp3(time, Yo, rate1, rate2, fraction) ```

## Arguments

 `time` a numeric vector of values at which to evaluate the model. `Yo` a numeric parameter representing the asymptote. `rate1` first rate `rate2` second rate `fraction` Fraction (0-1) which determines the size of each pool

## Value

a numeric vector of length equal to the inputs

## Author(s)

Fernando E. Miguez Sotiris Archontoulis

## References

Nonlinear Regression Models and Applications in Agricultural Research. Sotirios V. Archontoulis and Fernando E. Miguez. Agronomy Journal. doi: 10.2134/agronj2012.0506

## Examples

 ```1 2 3 4 5 6 7``` ```require(lattice) ## Set parameter values and plot the relationship time <- seq(0, 100,5) ans1 <- exp3(time, Yo=1, rate1=0.01, rate2=0.05, fraction=0.3) ans2 <- exp3(time, Yo=1, rate1=0.01, rate2=0.05, fraction=0.1) ans3 <- exp3(time, Yo=1, rate1=0.01, rate2=0.05, fraction=0.9) xyplot(ans1 + ans2 + ans3 ~ time, type="l", auto.key=TRUE, ylab = "text", xlab = "time") ```

nlraa documentation built on May 31, 2017, 2:50 a.m.