Description Usage Arguments Value Author(s) See Also Examples
Compute outlying measures based on a proximity matrix.
1 2 3 4 |
x |
a proximity matrix (a square matrix with 1 on the diagonal
and values between 0 and 1 in the off-diagonal positions); or an object of
class |
cls |
the classes the rows in the proximity matrix belong to. If not given, all data are assumed to come from the same class. |
... |
arguments for other methods. |
A numeric vector containing the outlying measures. The outlying measure of a case is computed as n / sum(squared proximity), normalized by subtracting the median and divided by the MAD, within each class.
Unknown (copied from randomForest package by Greg Jenkins)
1 2 3 4 5 6 7 | set.seed(1)
data(snpRFexample)
eg.rf <- snpRF(x.autosome=autosome.snps,x.xchrom=xchrom.snps,
xchrom.names=xchrom.snps.names,x.covar=covariates,
y=phenotype, proximity=TRUE)
plot(outlier(eg.rf), type="h",
col=c("red", "green", "blue")[as.numeric(phenotype)])
|
snpRF 0.4
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