Plot a statistics for CRMN normalization model

Description

Simple plot function for a CRMN normalization model.

Usage

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## S3 method for class 'nFit'
plot(x, y = NULL, ...)

Arguments

x

an nFit object

y

not used

...

passed on to the scatter plot calls

Details

Shows Tz and the optimization (if computed) of the PCA model. The number of components used for normalization should not exceed the maximum indicated by Q2. The structure shown in the Tz plot indicate the analytical variance which is exactly independent of the experimental design. The corresponding loading plot shows how this structure is capture by the used ISs.

Value

nothing

Author(s)

Henning Redestig

See Also

slplot

Examples

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data(mix)
nfit <- normFit(mix, "crmn", factors="type", ncomp=2)
plot(nfit)