Description Usage Arguments Details Author(s) See Also Examples
Draws an approximate contours of depth for bivariate data.
1 2 3 | depthContour(x, xlim = extendrange(x[, 1], f = 0.1), ylim = extendrange(x[,
2], f = 0.1), n = 50, pmean = TRUE, mcol = "blue", pdmedian = TRUE,
mecol = "brown", legend = TRUE, points = FALSE, ...)
|
x |
Bivariate data |
xlim |
Determines the width of x-axis. |
ylim |
Determines the width of y-axis. |
n |
Number of points in each coordinate direction to be used in contour plot. |
pmean |
Logical. If TRUE mean will be marked. |
mcol |
Determines the color of lines describing the mean. |
pdmedian |
Logical. If TRUE depth median will be marked. |
mecol |
Determines the color of lines describing the depth median. |
legend |
Logical. If TRUE legend for mean and depth median will be drawn. |
points |
Logical. If TRUE points from matrix x will be drawn. |
... |
Any additional parameters for function depth (such as method) or graphical parameters (e.g. lwd, lty, main). |
The set of all points that have depth at least α is called α - trimmed region. The α - trimmed region w.r.t. F is denoted by {D}_{α }(F) , i.e.,
{D}_{α }(F)=≤ft\{ z\in {{{R}}^{d}}:D(z,F)≥ α \right\}
.
Daniel Kosiorowski, Mateusz Bocian, Anna Wegrzynkiewicz and Zygmunt Zawadzki from Cracow University of Economics.
1 2 3 4 5 6 7 8 9 10 11 | # EXAMPLE 1
require(MASS)
x = mvrnorm(1000,c(0,0),diag(2))
depthContour(x)
#with points
depthContour(x, points = TRUE)
#EXAMPLE 2
data(inf.mort,maesles.imm)
data1990=na.omit(cbind(inf.mort[,1],maesles.imm[,1]))
depthContour(data1990, n = 50, pmean = TRUE, mcol = "blue", pdmedian = TRUE, mecol = "brown", legend = TRUE, points = TRUE,xlab="infant mortality rate per 1000 live birth", ylab="against masles immunized percentage", main='L2 depth, UN Fourth Goal 2011 year',method = "LP")
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