e2e_compare_obs {StrathE2E2} | R Documentation |
Generate a multi-panel set of box and whisker diagrams comparing annual or monthly averaged or integrated observational data on the state of the ecosystem with corresponding model outputs. Each panel displays a different category of observational and model data.
e2e_compare_obs( selection = "ANNUAL", model, ci.data = FALSE, use.saved = FALSE, use.example = FALSE, results = NULL )
selection |
Text string from a list to select comparison with annual or monthly observations. Select from: "ANNUAL", "MONTHLY". Remember to include the phrase within "" quotes. |
model |
R-list object defining the baseline model configuration used to generate the data and compiled by the e2e_read() function. |
ci.data |
Logical. If TRUE plot credible intervals around model results based on Monte Carlo simulation with the e2e_run_mc() function (default=FALSE). |
use.saved |
Logical. If TRUE use data from a prior user-defined run held as csv files data in the current results folder (default=FALSE). |
use.example |
Logical. If TRUE use pre-computed example data from the internal North Sea model rather than user-generated data (default=FALSE). |
results |
R-list object of model output generated by the e2e_run() function (default=NULL). |
The observational data are read from the file 'annual_observed_*.csv' or 'monthly_observed_*.csv'in the /Target folder of the model setup defined by a e2e_read() function call. Column 3 of annual_observed_* (header "Use_1.yes_0.no") is a flag to set whether any given row is used in calculating the likelihood of the observed data given the model setup by functions such as e2e_optimize_eco(). Un-used rows of data are omitted from the box and whisker plotting panels.
Arguments determine the source of model data for comparison with the observations. These can be outputs from a single model run with data held in memory as a list object or in a saved csv file, or from a Monte Carlo simulation (using the function e2e_run_mc()) to estimate credible intervals of model outputs. Generation of credible interval data is a long computing task, so example data for the North Sea model provided with the package for illustration.
In each plot panel, the distribution of observation data is shown by a black box plot (box spans 50 derived from model outputs are always shown in red - either a red tick mark for data from a single model run, or a red boxplot for data from a Monte Carlo analysis.
graphical display in a new graphics window
# Load the 1970-1999 version of the North Sea model supplied with the package, run, # and generate a plot: model <- e2e_read("North_Sea", "1970-1999") results <- e2e_run(model, nyears=3) e2e_compare_obs(selection="ANNUAL", model, results=results) # Note that these are the observational data that were used as the target for optimizing # the model parameters dev.new() e2e_compare_obs(model, selection="MONTHLY",results=results) # Note that these are the observational data that were NOT used for optimizing the model parameters # To create the same plots from the csv files saved by the e2e_run() function, use: e2e_compare_obs(selection="ANNUAL", model, use.saved=TRUE) dev.new() e2e_compare_obs(selection="MONTHLY", model, use.saved=TRUE) # Load the 1970-1999 version of the North Sea model supplied with the package and plot # example data with credible intervals # generated by a baseline mode Monte Carlo analysis: model <- e2e_read("North_Sea", "1970-1999") e2e_compare_obs(model, selection="ANNUAL",ci.data=TRUE,use.example=TRUE) dev.new() e2e_compare_obs(selection="MONTHLY", model, ci.data=TRUE,use.example=TRUE) #Direct the graphics output to a file ... # or jpeg("plot.jpg"), png("plot.png") pdf("plot.pdf",width=8,height=6) e2e_compare_obs(selection="ANNUAL", model, ci.data=TRUE,use.example=TRUE) dev.off()