plotPCA {netresponse} | R Documentation

## plotPCA

### Description

Visualize data, centroids and response confidence intervals for a given subnetwork with PCA. Optionally, color the samples according to annotations labels.

### Usage

    plotPCA(x, subnet.id, labels = NULL, confidence = 0.95, ...)

### Arguments

`x` | NetResponseModel object. Output from the detect.responses function.
`subnet.id` | Subnetwork id. Either character as 'Subnetwork-2' or numeric as 2, which is then converted to character.
`labels` | Optional: sample class labels to be indicated in colors.
`confidence` | Confidence interval for the responses based on the covariances of each response. If NULL, no plotting.
`...` | Further arguments for plot function.

### Value

Used for its side-effects.

### Author(s)

Leo Lahti leo.lahti@iki.fi

### References

See citation('netresponse') for citation details.

### Examples

    #plotPCA(x, subnet.id)

[Package netresponse version 1.52.0 Index]