plot.enspls.od | R Documentation |
Plot enspls.od object
## S3 method for class 'enspls.od'
plot(
x,
criterion = c("quantile", "sd"),
prob = 0.05,
sdtimes = 3L,
alpha = 1,
main = NULL,
...
)
x |
An object of class |
criterion |
Criterion of being classified as an outlier,
can be |
prob |
Quantile probability as the cut-off value. |
sdtimes |
Times of standard deviation as the cut-off value. |
alpha |
An alpha transparency value for points, a real number in (0, 1]. |
main |
Plot title. |
... |
Additional graphical parameters for |
Nan Xiao <https://nanx.me>
See enspls.od
for outlier detection with
ensemble sparse partial least squares regressions.
data("logd1k")
x <- logd1k$x
y <- logd1k$y
set.seed(42)
od <- enspls.od(x, y, reptimes = 4, maxcomp = 2)
plot(od, criterion = "quantile", prob = 0.1)
plot(od, criterion = "sd", sdtimes = 1)
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