sp is an abbreviation for
scatterplot.
scatterplotBCA(x, ...)
"scatterplotBCA"(x, data, subset, xlab, ylab, legend.title, legend.coords,
labels, ...)
"scatterplotBCA"(x, y, smooth = TRUE, spread = !by.groups, span = 0.5, loess.threshold = 2, reg.line = lm, boxplots = if (by.groups) "" else "xy", xlab = deparse(substitute(x)), ylab = deparse(substitute(y)), las = par("las"), lwd = 2, lwd.smooth = lwd, lwd.spread = lwd, lty = 1, lty.smooth = lty, lty.spread = 2, labels, id.method = "mahal", id.n = if(id.method[1] == "identify") length(x) else 0, id.cex = 1, id.col = palette()[1], log = "", jitter = list(), xlim = NULL, ylim = NULL, cex = par("cex"), cex.axis = par("cex.axis"), cex.lab = par("cex.lab"), cex.main = par("cex.main"), cex.sub = par("cex.sub"), groups, by.groups = !missing(groups), legend.title = deparse(substitute(groups)), legend.coords, ellipse = FALSE, levels = c(0.5, 0.95), robust = TRUE, col = if (n.groups == 1) palette()[c(2, 1, 3)] else rep(palette(), length = n.groups), pch = 1:n.groups, legend.plot = !missing(groups), reset.par = TRUE, grid = TRUE, ...)
spBCA(...)y ~ x or
(to plot by groups) y ~ x | z, where z evaluates to a factor
or other variable dividing the data into groups. If x is a factor, then parallel boxplots
are produced using the Boxplot function.TRUE (the default) a loess nonparametric regression line is
drawn on the plot.TRUE (the default when there are no groups), a smoother is applied to
the root-mean-square positive and negative residuals from the loess line to display conditional spread and
asymmetry.loess.threshold unique
values (default, 5) of y.FALSE not to plot a regression line."x" a boxplot for x is drawn below the plot;
if "y" a boxplot for y is drawn to the left of the plot;
if "xy" both boxplots are drawn; set to "" or FALSE to
suppress both boxplots.0, ticks labels are drawn parallel to the
axis; set to 1 for horizontal labels (see par).1).lwd).lwd).1, solid line).lty).2, broken line).id.n=0 for labeling no points. See
showLabels for details of these arguments. If the plot uses
different colors for groups, then the id.col argument is ignored and
label colors are determined by the col argument.
log argument to plot, to produce log axes.x or y or both, specifying jitter factors
for the horizontal and vertical coordinates of the points in the scatterplot. The
jitter function is used to randomly perturb the points; specifying a
factor of 1 produces the default jitter. Fitted lines are unaffected by the jitter.NULL, determined from the data.NULL, determined from the data.TRUE, regression lines are fit by groups."topleft",
recognized by legend.TRUE data-concentration ellipses are plotted.c(.5, .95).TRUE (the default) use the cov.trob function in the MASS package
to calculate the center and covariance matrix for the data ellipses.palette()[2] for nonparametric regression lines and palette()[1]
for linear regression line and points if there are
no groups, and successive colors for the groups if there are groups.par).par).TRUE then a legend for the groups is plotted in the upper margin.TRUE then plotting parameters are reset to their previous values
when scatterplot exits; if FALSE then the mar and mfcol parameters are
altered for the current plotting device. Set to FALSE if you want to add graphical elements
(such as lines) to the plot.plot.NULL is returned invisibly.
scatterplot