clustering_dissimilarity_from_data: Dissimilarity matrix
In vittoriofortino84/COPS: Clustering algorithms for Omics-driven Patient Stratification
clustering_dissimilarity_from_data R Documentation
Dissimilarity matrix
Description
Dissimilarity matrix
Usage
clustering_dissimilarity_from_data(
x,
distance_metric = "euclidean",
correlation_method = "spearman",
preprocess = FALSE,
...
)
Arguments
x
input data matrix
distance_metric
Either "euclidean" or "correlation"
correlation_method
method for cor
preprocess
set to TRUEif x is a data.frame that
is processed within the COPS pipeline with data columns named "dim1", "dim2" and so on
...
ignored
Value
dist-object
vittoriofortino84/COPS documentation built on Jan. 28, 2025, 3:16 p.m.
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| clustering_dissimilarity_from_data | R Documentation |
Dissimilarity matrix
Description
Dissimilarity matrix
Usage
clustering_dissimilarity_from_data(
x,
distance_metric = "euclidean",
correlation_method = "spearman",
preprocess = FALSE,
...
)
Arguments
x |
input data |
distance_metric |
Either "euclidean" or "correlation" |
correlation_method |
method for |
preprocess |
set to |
... |
ignored |
Value
dist-object
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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