wormplot: Biomass wormplot
In DLMtool/DLMtool: Data-Limited Methods Toolkit
Description
Usage
Arguments
Details
Author(s)
Description
A worm plot for plotting the likelihood of meeting biomass targets in future
years.
Usage
1
wormplot(MSEobj, Bref = 0.5, LB = 0.25, UB = 0.75)
Arguments
MSEobj
Object of class MSE, output of the runMSE function
Bref
The reference fraction of BMSY (to evaluate the probability of
exceeding this level)
LB
The lower bound probability that seperates red (bad) and yellow
(O.K.) colored segments
UB
The upper bound probability that seperates yellow (O.K.) and green
(good) colored segments
Details
Returns a matrix of nMPs rows and proyears columns which is the fraction of
simulations for which biomass was above Bref.
Author(s)
T. Carruthers
DLMtool/DLMtool documentation built on June 20, 2021, 5:20 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Details Author(s)
Description
A worm plot for plotting the likelihood of meeting biomass targets in future years.
Usage
1 | wormplot(MSEobj, Bref = 0.5, LB = 0.25, UB = 0.75)
|
Arguments
MSEobj |
Object of class MSE, output of the runMSE function |
Bref |
The reference fraction of BMSY (to evaluate the probability of exceeding this level) |
LB |
The lower bound probability that seperates red (bad) and yellow (O.K.) colored segments |
UB |
The upper bound probability that seperates yellow (O.K.) and green (good) colored segments |
Details
Returns a matrix of nMPs rows and proyears columns which is the fraction of simulations for which biomass was above Bref.
Author(s)
T. Carruthers
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.