ellipse(center, shape, radius, log="", center.pch=19, center.cex=1.5,
segments=51, draw=TRUE, add=draw, xlab="", ylab="",
col=palette()[2], lwd=2, fill=FALSE, fill.alpha=0.3, grid=TRUE, ...)
dataEllipse(x, y, log="", levels=c(0.5, 0.95), center.pch=19, center.cex=1.5,
draw=TRUE, plot.points=draw, add=!plot.points, segments=51, robust=FALSE,
xlab=deparse(substitute(x)),
ylab=deparse(substitute(y)),
col=palette()[1:2], lwd=2, fill=FALSE, fill.alpha=0.3, grid=TRUE, ...)
confidenceEllipse(model, ...)
## S3 method for class 'lm':
confidenceEllipse(model, which.coef, levels=0.95, Scheffe=FALSE,
center.pch=19, center.cex=1.5, segments=51, xlab, ylab,
col=palette()[2], lwd=2, fill=FALSE, fill.alpha=0.3, draw=TRUE, add=!draw, ...)
## S3 method for class 'glm':
confidenceEllipse(model, which.coef, levels=0.95, Scheffe=FALSE,
center.pch=19, center.cex=1.5, segments=51, xlab, ylab,
col=palette()[2], lwd=2, fill=FALSE, fill.alpha=0.3, draw=TRUE, add=!draw, ...)
"x"
if the x-axis is logged, "y"
if the y-axis is
logged, and "xy"
TRUE
produce graphical output; if FALSE
, only invisibly return coordinates of ellipse(s).TRUE
add ellipse(s) to current plot.y
is missing) a 2-column numeric matrix.x
.FALSE
data ellipses are drawn,
but points are not plotted.TRUE
use the cov.trob
function in the lm
or glm
.TRUE
scale the ellipse so that its projections onto the
axes give Scheffe confidence intervals for the coefficients.2
(see par
).col
(default, FALSE
)?0.3
).plot
and
line
.ellipse
returns invisibly the (x, y) coordinates of the calculated ellipse.
dataEllipse
and confidenceEllipse
return invisibly the coordinates of one or more ellipses, in the latter instance a list named by
levels
.dataEllipse
superimposes the normal-probability contours over a scatterplot
of the data.cov.trob
.dataEllipse(Prestige$income, Prestige$education, levels=0.1*1:9, lty=2,
fill=TRUE, fill.alpha=0.1)
confidenceEllipse(lm(prestige~income+education, data=Prestige), Scheffe=TRUE)
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