R: Individual factor map for 'rpca' using 'ggplot'.

ggindplot {rsvd} | R Documentation

## Individual factor map for `rpca` using `ggplot`.

### Description

Creates a pretty plot which is showing the individual factor map, i.e, plotting the principal component scores.

### Usage

    ggindplot(rpcaObj, pcs = c(1, 2), groups = NULL, alpha = 0.6,
      ellipse = TRUE, alpha.ellipse = 0.2, 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).
`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.
`ind_labels` | Bool (TRUE, FALSE), optional. Plot names for each individual point, if TRUE.
`ind_labels.names` | Array_like, optional. User specific labels for the individual points.

### Author(s)

N. Benjamin Erichson, erichson@uw.edu

### See Also

`rpca`, `ggplot`

### Examples

    #See ?rpca

[Package rsvd version 0.9 Index]