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Make multi-figure plots of prior, posterior, and estimated asymptotic parameter distributions. MCMC not required to make function work.

Usage

SSplotPars(
  replist,
  plotdir = NULL,
  xlab = "Parameter value",
  ylab = "Density",
  showmle = TRUE,
  showpost = TRUE,
  showprior = TRUE,
  showinit = TRUE,
  showdev = FALSE,
  showlegend = TRUE,
  fitrange = FALSE,
  xaxs = "i",
  xlim = NULL,
  ylim = NULL,
  verbose = TRUE,
  debug = FALSE,
  nrows = 4,
  ncols = 2,
  ltyvec = c(1, 1, 3, 4),
  colvec = c("blue", "red", "black", "gray60", rgb(0, 0, 0, 0.5)),
  add = FALSE,
  plot = TRUE,
  print = FALSE,
  pwidth = 6.5,
  pheight = 6.5,
  punits = "in",
  ptsize = 10,
  res = 300,
  strings = NULL,
  exact = FALSE,
  newheaders = NULL
)

Arguments

replist

A list object created by SS_output().

plotdir

Directory where PNG files will be written.

xlab

Label on horizontal axis.

ylab

Label on vertical axis.

showmle

Show MLE estimate and asymptotic variance estimate with blue lines?

showpost

Show posterior distribution as bar graph if MCMC results are available in replist?

showprior

Show prior distribution as black line?

showinit

Show initial value as red triangle?

showdev

Include devs in the plot?

showlegend

Show the legend?

fitrange

Fit range tightly around MLE & posterior distributions, instead of full parameter range?

xaxs

Parameter input for x-axis. See ?par for more info.

xlim

Optional x-axis limits to be applied to all plots. Otherwise, limits are based on the model results.

ylim

Optional y-axis limits to be applied to all plots. Otherwise, limits are based on the model results.

verbose

A logical value specifying if output should be printed to the screen.

debug

Provide additional messages to help with debugging when the function fails.

nrows

How many rows in multi-figure plot.

ncols

How many columns in multi-figure plot.

ltyvec

Vector of line types used for lines showing MLE and prior distributions and the median of the posterior distribution.

colvec

Vector of colors used for lines and polygons showing MLE, initial value, prior, posterior, and median of the posterior.

add

Add to existing plot?

plot

Plot to active plot device?

print

Print to PNG files?

pwidth

Default width of plots printed to files in units of punits.

pheight

Height of plots printed to png files in units of punits. Default is designed to allow two plots per page, with pheight_tall used for plots that work best with a taller format and a single plot per page.

punits

Units for pwidth and pheight. Can be "px" (pixels), "in" (inches), "cm" (centimeters), or "mm" (millimeters). The default is punits="in".

ptsize

Point size for plotted text in plots printed to files (see help("png") in R for details).

res

Resolution of plots printed to files. The default is res = 300.

strings

Subset parameters included in the plot using substring from parameter names (i.e. "SR" will get "SR_LN(R0)" and "SR_steep" if they are both estimated quantities in this model).

exact

Should strings input match parameter names exactly? Otherwise substrings are allowed.

newheaders

Optional vector of headers for each panel to replace the parameter names.

Author

Ian G. Taylor, Cole C. Monnahan

Examples

if (FALSE) { # \dontrun{
# read model results
model <- SS_output(dir = "c:/SS/Simple/")
# make default plots where parameter distribution plots will appear
# in the "pars" tab
SS_plots(model)

# create just the "pars" tab with control of the inputs that are
# passed to SSplotPars
SS_plots(model,
  plot = 25, showmle = TRUE, showpost = TRUE,
  showprior = TRUE, showinit = TRUE, showdev = FALSE, fitrange = FALSE
)

# call SSplotPars directly
SSplotPars(replist = model)

# Create plot in custom location. Note that strings can be partial match.
# File name will be "parameter_distributions.png"
# or "parameter_distributions_pageX.png" when they don't all fit on one page
SSplotPars(
  replist = model, strings = c("steep", "R0"),
  nrows = 2, ncols = 1, plot = FALSE, print = TRUE,
  plotdir = file.path(model[["inputs"]][["dir"]], "distribution_plots")
)
} # }