plotB {scape} | R Documentation |
Plot Biomass, Recruitment, and Landings
Description
Plot scape
model predicted biomass, stock recruitment, and
landings.
Usage
plotB(model, what="d", series=NULL, years=NULL, axes=TRUE, div=1,
legend="bottom", main="", xlab="", ylab="", cex.main=1.2,
cex.legend=1, cex.lab=1, cex.axis=0.8, las=1,
tck=c(1,what=="d")/2, tick.number=5, lty.grid=3, col.grid="white",
pch=16, cex.points=0.8, col.points="black", lty.lines=1:3,
lwd.lines=2, col.lines="black", ratio.bars=3, col.bars="gray",
plot=TRUE, ...)
Arguments
model |
fitted |
what |
what to plot: |
series |
vector of strings indicating which column names in
|
years |
vector of numbers indicating which years to include (all by default). |
axes |
whether to plot axis values. |
div |
denominator to shorten values on the y axis, or a vector with two elements referring to x and y axis. |
legend |
legend location: |
main |
main title. |
xlab |
x-axis label. |
ylab |
y-axis label. |
cex.main |
size of main title. |
cex.legend |
size of legend text. |
cex.lab |
size of axis labels. |
cex.axis |
size of tick labels. |
las |
orientation of tick labels: 0=parallel, 1=horizontal, 2=perpendicular, 3=vertical. |
tck |
tick mark length. |
tick.number |
number of tick marks. |
lty.grid |
line type of gridlines. |
col.grid |
color of gridlines. |
pch |
symbol for points. |
cex.points |
size of points. |
col.points |
color of points. |
lty.lines |
line type of main lines. |
lwd.lines |
line width of main lines. |
col.lines |
color of main lines. |
ratio.bars |
width of bars. |
col.bars |
color of bars. |
plot |
whether to draw plot. |
... |
passed to |
Details
The "d"
[efault] plot shows spawning biomass and vulnerable
biomass as lines, and landings as bars, on the same scale.
Value
When plot=TRUE
, a trellis plot is drawn and a data frame is
returned, containing the data used for plotting. When
plot=FALSE
, a trellis object is returned.
Note
The Args
function from the gdata package is recommended
for reviewing the arguments, instead of args
.
See Also
xyplot
, panel.barchart
,
and panel.superpose
are the underlying drawing
functions.
plotCA
, plotCL
, plotIndex
,
and plotLA
plot model fit and data.
plotB
, plotN
, and plotSel
plot
derived quantities.
scape-package
gives an overview of the package.
Examples
plotB(x.ling, series=c("VB.1","VB.2","Y"), div=1000, xlab="Year\n",
ylab="Biomass and landings (kt)")
plotB(x.ling, "s", div=1000, xlab="Biomass age 4+ (kt)",
ylab="Recruitment (million one-year-olds)")