Draw a scatter plot with marginal densities on the x- and y-axis. Groups can be defined by grp.
PlotMarDens(x, y, grp = 1, xlim = NULL, ylim = NULL,
col = rainbow(nlevels(factor(grp))),
mardens = c("all","x","y"), pch = 1, pch.cex = 1,
main = "", na.rm = FALSE, args.legend = NULL,
args.dens = NULL, ...)
numeric vector of x values.
numeric vector of y values (of same length as x).
grouping variable(s), typically factor(s), all of the same length as x.
the x limits of the plot.
the y limits of the plot.
the colors for lines and points. Uses rainbow()
colors by default.
which marginal densities to plot. Can be set to either just x or y, or both ("all"
, latter being the default).
a vector of plotting characters or symbols.
magnification to be used for plotting characters relative to the current setting of cex.
a main title for the plot, see also title.
logical, should NAs be omitted? Defaults to FALSE
.
list of additional arguments for the legend. args.legend
set to NA
prevents a legend from being drawn.
list of additional arguments to be passed to density
.
Use args.dens = NA
if no density curve should be drawn. The defaults are taken from density
.
further arguments are passed to the function plot()
.
# NOT RUN {
# best seen with: x11(7.5, 4.7)
# just one variable with marginal densities
PlotMarDens( y=d.pizza$temperature, x=d.pizza$delivery_min, grp=1
, xlab="delivery_min", ylab="temperature", col=SetAlpha("brown", 0.4)
, pch=15, lwd=3
, panel.first= grid(), args.legend=NA
, main="Temp ~ delivery"
)
# use a group variable
PlotMarDens( y=d.pizza$temperature, x=d.pizza$delivery_min, grp=d.pizza$area
, xlab="delivery_min", ylab="temperature", col=c("brown","orange","lightsteelblue")
, panel.first=list( grid() )
, main = "temperature ~ delivery_min | area"
)
# reset layout
par(mfrow=c(1,1))
# }
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