R: Biplot for 'rpca' using 'ggplot'.

ggbiplot {rsvd} | R Documentation

## Biplot for `rpca` using `ggplot`.

### Description

Creates a pretty biplot which is showing the individual factor map overlayed by the variables factor map, i.e, plotting both the principal component scores and directions.

### Usage

    ggbiplot(rpcaObj, pcs = c(1, 2), loadings = TRUE, groups = NULL,
      alpha = 0.6, ellipse = TRUE, alpha.ellipse = 0.2, var_labels = TRUE,
      var_labels.names = NULL, ind_labels = TRUE, ind_labels.names = NULL)

### Arguments

`rpcaObj` | Object returned by the `rpca` function.
`pcs` | Array_like. An array with two values indicating the two PCs which should be used for plotting. By default the first two PCs are used, e.g., c(1,2).
`loadings` | Bool (TRUE, FALSE), optional. If TRUE, the eigenvectors are unit scaled by the square root of the eigenvalues W = W * diag(sqrt(eigvals)).
`groups` | Factor, optional. Factor indicating groups.
`alpha` | Scalar, optional. Alpha transparency for scatter plot.
`ellipse` | Bool (TRUE, FALSE), optional. Draw a 1sd data ellipse for each group, if TRUE.
`alpha.ellipse` | Scalar, optional. Alpha transparency for ellipse.
`var_labels` | Bool (TRUE, FALSE), optional. Plot variable names, if TRUE.
`var_labels.names` | Array_like, optional. User specific labels for the individuals.
`ind_labels` | Bool (TRUE, FALSE), optional. Plot data point names, if TRUE.
`ind_labels.names` | Array_like, optional. User specific labels for data points.

### Author(s)

N. Benjamin Erichson, erichson@uw.edu

### See Also

`rpca`, `ggplot`

### Examples

    #See ?rpca

[Package rsvd version 0.9 Index]