Scatterplot With Marginal Densities
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, ...)x |
numeric vector of x values. |
y |
numeric vector of y values (of same length as x). |
grp |
grouping variable(s), typically factor(s), all of the same length as x. |
xlim |
the x limits of the plot. |
ylim |
the y limits of the plot. |
col |
the colors for lines and points. Uses |
mardens |
which marginal densities to plot. Can be set to either just x or y, or both ( |
pch |
a vector of plotting characters or symbols. |
pch.cex |
magnification to be used for plotting characters relative to the current setting of cex. |
main |
a main title for the plot, see also title. |
na.rm |
logical, should NAs be omitted? Defaults to |
args.legend |
list of additional arguments for the legend. |
args.dens |
list of additional arguments to be passed to |
... |
further arguments are passed to the function |
Andri Signorell <andri@signorell.net>
# 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))Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.