x
vs. y
. It also allows the user to highlight and annotate subsets of points on the plot, and display fitted curves from robust local regression or other smoothing procedures.
maPlot.func(x, y, z,
lines.func = maLowessLines(subset = TRUE, f = 0.3, col = 1:length(unique(z)), lty = 1, lwd = 2.5), text.func = maText(),
legend.func = maLegendLines(legend = as.character(unique(z)), col = 1:length(unique(z)), lty = 1, lwd = 2.5, ncol = 1),
...)
z
y
as a function of x
, separately within values of z
, e.g. maLoessLines
.maText
.maLegendLines
.par
.maPlot
, maLoessLines
, maLegendLines
, maText
, plot
, lowess
, loess
, legend
.