Description Usage Arguments Value
This function extracts a MetICA model with user-decided component numbers.
1 | MetICA_extract_model(M1, ics, tops = ics)
|
M1 |
The entire list object generated from the function MetICA(X, pcs = 15...) |
ics |
Number of clusters (MetICA components) decided by users according to validationPlot |
tops |
Integer or NULL object. If integer, the tops "best" components based on each evaluation criterion will be plotted. |
MetICA model (a list object) whose number of components is decided by users.
"S"Scores of MetICA components. Data matrix contains n rows (samples) and ics columns (components)
"A"Loadings of MetICA components. Data matrix contains p rows (metabolic features) and ics columns (components)
"A1"Normalized loadings of MetICA components. Data matrix contains p rows (metabolic features) and ics columns (components)
"eval$kurtosis"Vector of length ics containing Kurtosis measure of each MetICA component.
"eval$cluster_size"Number of IPCA estimates in each corresponding cluster.
"eval$divergence_index"Divergence indexes of clusters.
"eval$boot_prop"Proportion of bootstrap estimates in each cluster.
"eval$boot_stability"Stability of each cluster against bootstrapping.
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