Description Usage Arguments Value Examples
View source: R/UnivariateNormalScores.R
Get conditional or unconditional normal score (NS) of observations (X
)
relative to previous observations (Y
).
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X 
vector. New observations to obtain the N¡normal scores. 
Y 
vector. If 
theta 
scalar. Value corresponig with the 
Ftheta 
scalar. 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). 
Chi2corrector 
character string. Only when scoring is ZSQ. Select from
If "approx" () (default). If "exact" (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
: vector. Ranks for the X
observations. If ties occurs, average ranks are used.
P
: vector. 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
: vector. Normal scores for the X
observations. Z if scoring
is "Z" and Z^2 if scoring
is "ZSQ".
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