# exp1: Simple exponential functions In nlraa: Non-linear regression for agricultural applications

## Description

First order exponential decrease (exp1) or increase (exp2). These are equations 1.1 and 1.2 in Table 1 in the paper referenced below.

## Usage

 `1` ```exp1(time, Yo, rate) ```

## Arguments

 `time` a numeric vector of values at which to evaluate the model. `Yo` a numeric parameter representing the asymptote. `rate` rate of decrease

## Value

a numeric vector of length equal to the inputs

## Author(s)

Fernando E. Miguez

## 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 8 9``` ```require(lattice) ## Set parameter values and plot the relationship time <- seq(0, 100,5) ans1 <- exp1(time, Yo=1, rate=0.01) ans2 <- exp1(time, Yo=1, rate=0.05) ans3 <- exp1(time, Yo=1, rate=-0.01) xyplot(ans1 + ans2 + ans3 ~ time, type="l", auto.key=TRUE, ylab = "OM decomposition", xlab = "time") ```

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