robcor  R Documentation 
Compute a robust estimate of the correlation coefficient or correlation matrix via pairwise correlations.
robcor(x, y = NULL, method = c("ssd", "quadrant", "mcd"), partial = FALSE, post = "psdcor", scaler = "s_FastQn", regress = "lmrob")
x 
a numeric vector, matrix or data frame. 
y 

method 
a character string indicating which correlation coefficient is to be computed. 
partial 
logical. Should a partial correlation algorithm be used? 
post 
function to apply after the matrix is built or 
scaler 
function to use as a locationscale estimator in 
regress 
function to use as a regression estimator in partial correlations algorithm.
By default, 
This function is a robust replacement for cor()
.
Note, that implementation and documentation is not finished/polished yet.
Either a single correlation coefficient or a correlation matrix estimate.
WORKINPROGRESS status.
Paul Smirnov <s.paul@mail.ru>
Shevlyakov, G. L., Smirnov, P. O. (2011). Robust Estimation of the Correlation Coefficient: An Attempt of Survey. Austrian Journal of Statistics, 40(1&2), 147156.
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