Description Usage Arguments Details Value Note Author(s) See Also Examples
Calculate standardised matrix for Bertin analysis. Marginal means and marginal permutation, sorting by score, are cached.
1  bertinzscore(z, var.orientation = c("byrow", "bycolumn", "global"), trim = 0, na.rm = FALSE, ...)

z 
A data matrix 
var.orientation 
"byrow", "bycolumn", "global"). By default, following Bertin's conventions variables are in rows. Use

trim 
the fraction (0 to 0.5) of observations to be
trimmed from each end of 
na.rm 
a logical value indicating whether NA values should be stripped before the computation proceeds. 
... 
other parameters, (see 
Calculates (xmean)/sd
. If sd
is zero, zero is returned as value.
scores 
An augmented matrix of rank scores. The matrix has the class "bertin" and carries the attributes:
This list is subject to change. 
If trim !=0
, a trimmed version of sd()
or a robust version should be used.
G. Sawitzki
1 2 3  data(Hotel)
hotelzscores < bertinzscore(Hotel)
plot.bertin(hotelzscores)

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