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

Description Usage Arguments Author(s) See Also Examples

View source: R/ggindplot.R

Description

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

Usage

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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, [email protected]

See Also

rpca, ggplot

Examples

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#See ?rpca

Benli11/rPCA documentation built on May 5, 2019, 2:41 p.m.