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=== | ||
Calculates PCA confidence limits for Hotelling's T<sup>2</sup>. | |||
===Synopsis=== | ===Synopsis=== | ||
: | :tsqcl = tsqlim(m,pc,cl) | ||
: | :tsqcl = tsqlim(model,cl) | ||
===Description=== | ===Description=== | ||
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)