Description Usage Arguments Details Value Note Author(s) References Examples
The function performs PCA on matrix based on weighted relative likelihood function and provides a plot of first two PCs as well as summary of PCA.
1 | pois.rel.pca(x, lambda.min, lambda.max, len = 10, plot = TRUE, seed = 132)
|
x |
Data can be entered as matrix or list. |
lambda.min |
Minimum value of lambda. |
lambda.max |
Maximum value of lambda. |
len |
Length of values to be evaluated at in between mu.min and mu.max. |
plot |
If set TRUE, provides plot of weighted relative likelihood functions colored by their cluster assignment. |
seed |
Seed to be set for reproducibility |
For mathematical details, please contact the authors.
PCA.output |
Summary of Principal Component Analysis |
None.
Milan Bimali.
None.
1 2 | x <- sim.pois(c(4,10),15,10)
pois.rel.pca(x,1,20,len=20,plot=TRUE,seed=132)
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