Description Usage Arguments Value Comments See Also Examples
View source: R/MultivariateSequentialNormalScores.R
Transform a matrix X
into SNS using initial observations Y
if available
SNS follow the order of X
.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 
X 
matrix or data.frame. New observations to obtain the normal scores. 
X.id 
vector. The id of each column (variable) of the matrix 
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 
chart 
character string. Selected type of chart. One option available:

chart.par 
vector. Control limit and other parameters of the selected chart. 
null.dist 
character string. It is the null distribution choose from 
isFixed 
logical. If 
omit.id 
vector. Elements of the vector are the id which are omitted in the analysis. 
auto.omit.alarm 
logical. Determine if OC signals are added (or not) to reference sample. By default is set to TRUE. 
Multiple output. Select by output$
coefficients
: list. Two elements: n
the number of observation per group in X
and chart
the selected chart to perform the analysis.
X
: vector. New observations (Monitoring sample) to obtain the SNS.
Z
: vector. SNS of the X
monitoring sample.
T2
: vector. T2 statistic for each of the groups in X
.
X.id
: vector. The id of each column (variable) of the matrix X
.
UCL
: vector. Upper control limit for each group in X
.
If ties, average ranks are used.
MNS
for multivariate normal scores
1 2 3 
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.