vectorplot: Plot vectors inside a unit circle (PCA loadings or...

In SciViews: SciViews - Main package

Description

Plots vectors with 0 < norms < 1 inside a circle. These plots are mainly designed to represent variables in principal components space for PCAs.

Usage

vectorplot(x, ...)

## Default S3 method:
vectorplot(x, y, col = par("col"), circle.col = "gray",
  ar.length = 0.1, pos = NULL, cex = par("cex"), labels = NULL, ...)

## S3 method for class 'loadings'
vectorplot(x, choices = 1L:2L, col = par("col"),
  circle.col = "gray", ar.length = 0.1, pos = NULL, cex = par("cex"),
  labels = rownames(x), main = deparse(substitute(x)), ...)

## S3 method for class 'Correlation'
vectorplot(x, choices = 1L:2L, col = par("col"),
  circle.col = "gray", ar.length = 0.1, pos = NULL, cex = par("cex"),
  labels = rownames(x), main = deparse(substitute(x)), ...)

Arguments

x	An object that has a vectorplot() method, like 'loadings' or 'correlation', or a numeric vector with 0 < values < 1.
...	Further arguments passed to plot functions.
y	A numeric vector with 0 < values < 1 of same length as 'x.
col	Color of the arrows and labels.
circle.col	The color for the circle around the vector plot.
ar.length	The length of the arrows.
pos	The position of text relative to arrows. If NULL, a suitable position is calculated according to the direction where the arrows are pointing.
cex	The factor of expansion for labels in the graph.
labels	The labels to draw near the arrows.
choices	A vector of two integers indicating the axes to plot.
main	The title of the plot.

Value

The object 'x' is returned invisibly. These functions are called for their side-effect of drawing a vector plot.

See Also

pcomp(), loadings(), Correlation()

Examples

# Create a PCA and plot loadings and correlations
iris.pca <- pcomp(iris[, -5])
vectorplot(loadings(iris.pca))
vectorplot(Correlation(iris.pca))
# Note: on screen devices, change aspect ratio of the graph by resizing
# the window to reveal cropped labels...

Example output

SciViews documentation built on Nov. 17, 2019, 1:06 a.m.