Plot multiple fits on one graph with model selection results displayed

Plot multiple fits of decomposition trajectories on one graph with model selection results displayed

Usage

plot_multiple_fits(time,mass.remaining,model,color,iters,bty,...)

Arguments

time

vector of time points

mass.remaining

vector of mass remaining

model

vector of models to fit and plot (see fit_litter)

color

a vector of colors the same length as the number of models

iters

parameter passed to fit_litter

bty

bty

...

additional parameters passed to plot

Value

plot of multiple fits, returns invisibly

Details

this function is designed to compare a variety of curve shapes visually and with AIC and BIC simultaneously

See also

fit_litter plot.litfit

Author

Liu Guofang

Examples

data(pineneedles,package='litterfitter')

plot_multiple_fits(time = pineneedles$Year,
mass.remaining = pineneedles$Mass.remaining,
bty = 'n', model = c('neg.exp', 'weibull'),
xlab = 'Time', ylab = 'Proportion mass remaining',iters=200)
#> Number of successful fits:  199  out of 200 
#> Number of successful fits:  200  out of 200 
#> Warning: May not have found global best fit; increase iterations