Plot for kernel local significant difference regions
Plot for kernel local significant difference regions for 1- to 3-dimensional data.
## S3 method for class 'kde.loctest' plot(x, ...)
x |
object of class |
... |
other graphics parameters:
and those used in |
For kde.loctest
objects, the function headers are
## univariate plot(x, lcol, col, add=FALSE, xlab="x", ylab, rugsize, add.legend=TRUE, pos.legend="topright", ...) ## bivariate plot(x, col, add=FALSE, xlab="x", ylab="y", add.contour=FALSE, add.legend=TRUE, pos.legend="topright", ...) ## trivariate plot(x, col, add=FALSE, xlab="x", ylab="y", zlab="z", box=TRUE, axes=TRUE, alphavec=c(0.5, 0.5), ...)
Plots for 1-d and 2-d are sent to graphics window. Plot for 3-d is sent to graphics/RGL window.
data(air) air.var <- c("co2","pm10","no") air <- air[, c("date","time",air.var)] air2 <- reshape(air, idvar="date", timevar="time", direction="wide") a1 <- as.matrix(na.omit(air2[, paste0(air.var, ".08:00")])) a2 <- as.matrix(na.omit(air2[, paste0(air.var, ".20:00")])) colnames(a1) <- air.var colnames(a2) <- air.var loct <- kde.local.test(x1=a1[,c("co2","pm10")], x2=a2[,c("co2","pm10")]) plot(loct) loct <- kde.local.test(x1=a1, x2=a2) plot(loct, xlim=c(0,800), ylim=c(0,300), zlim=c(0,300))
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.