Description Usage Arguments Value Examples
View source: R/MultivariateNormalScores.R
Get conditional or unconditional multivariate normal score (NS) of observations (X
)
relative to previous observations (Y
).
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X 
matrix or data.frame. New observations to obtain the normal scores. 
Y 
matrix or data.frame. If 
theta 
vector. Value corresponding with the 
Ftheta 
vector. Quantile of the data distribution. The values that take are between (0,1). 
scoring 
character string. If "Z" (normal scores) (default). If "ZSQ" (normal scores squared). 
alignment 
character string. Aligment of the data

constant 
scalar. Only used when the 
absolute 
logical. If 
Multiple output. Select by output$
R
: matrix. Multivariate Ranks for the X
observations. If ties occurs, average ranks are used.
P
: matrix. Multivariate Probability of the ranks for the X
observations. Instead of Van Der Waerden normal scores where P = R/(n+1), P = (R0.5)/n,
where R stands for rank and P for the input evaluated in the inverse of a Standard Normal Distribution.
Z
: matrix. Multivariate Normal scores for the X
observations. Z if scoring
is "Z" and Z^2 if scoring
is "ZSQ".
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