Description Usage Arguments Details References Examples
View source: R/locationScaleDepth.R
Calculates the maximum Student depth estimator of location and scale for one dimensional data (an alternative for MED and MAD or for the mean and standard deviation).
1 | lsdSampleMaxDepth(x, iter = 100, eps = 1e-04, p_length = 10)
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x |
one dimensional vector with sample |
iter |
maximum number of iterations in algorith for calculation Location-Scale Depth |
eps |
tolerance level |
p_length |
is the maximum length of the precision step at the end |
Calculations are based on lsdepth algorithm written by Ch. Muller.
Mizera, I., Muller, C. H., 2004. Location-scale depth (with discussion). Journal of the American Statistical Association 99, 949–966.
1 2 3 4 | x <- rnorm(100)
lsdSampleMaxDepth(x)
y <- rf(100, 4, 10)
lsdSampleMaxDepth(y)
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