Plsver and Tsqlim: Difference between pages

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imported>Scott
(New page: ===Purpose=== Displays version information. ===Synopsis=== :plsver :vinfo = plsver ===Description=== With no output designated plsver opens a window displaying version and path inform...)
 
imported>Jeremy
(New page: ===Purpose=== Calculates PCA confidence limits for Hotelling's T<sup>2</sup>. ===Synopsis=== :tsqcl = tsqlim(m,pc,cl) :tsqcl = tsqlim(model,cl) ===Description=== Inputs can be in one ...)
 
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===Purpose===
===Purpose===


Displays version information.
Calculates PCA confidence limits for Hotelling's T<sup>2</sup>.


===Synopsis===
===Synopsis===


:plsver
:tsqcl = tsqlim(m,pc,cl)
:vinfo = plsver
:tsqcl = tsqlim(model,cl)


===Description===
===Description===


With no output designated plsver opens a window displaying version and path information. With an output this information is assigned as a character array.
Inputs can be in one of two forms:
 
(a) the number of samples <tt>m</tt>, the number of principal components used <tt>pc</tt>, and the fractional confidence limit, <tt>cl</tt> (0 < cl < 1) which can be a scalar or a vector (to calculate multiple confidence limits simultaneously).
 
or (b) a standard model structure, <tt>model</tt>, and the fractional confidence limit, <tt>cl</tt> (0 < cl < 1).
 
The output <tt>tsqcl</tt> is the confidence limit. See Jackson (1991).
 
===Examples===
 
tsqcl = tsqlim(15,2,0.95)
 
model = pca(data,pc); tsqcl = tsqlim(model,0.95)
 
===See Also===
 
[[analysis]], [[pca]], [[pcr]], [[pls]]

Revision as of 13:57, 9 October 2008

Purpose

Calculates PCA confidence limits for Hotelling's T2.

Synopsis

tsqcl = tsqlim(m,pc,cl)
tsqcl = tsqlim(model,cl)

Description

Inputs can be in one of two forms:

(a) the number of samples m, the number of principal components used pc, and the fractional confidence limit, cl (0 < cl < 1) which can be a scalar or a vector (to calculate multiple confidence limits simultaneously).

or (b) a standard model structure, model, and the fractional confidence limit, cl (0 < cl < 1).

The output tsqcl is the confidence limit. See Jackson (1991).

Examples

tsqcl = tsqlim(15,2,0.95)
model = pca(data,pc); tsqcl = tsqlim(model,0.95)

See Also

analysis, pca, pcr, pls