plot.gpca: Plot generalized PCA

In andland/generalizedPCA: Generalized PCA

Description

Plots the results of a generalized PCA

Usage

## S3 method for class 'gpca'
plot(x, type = c("trace", "loadings", "scores"), ...)

Arguments

x	generalized PCA object
type	the type of plot type = "trace" plots the algorithms progress by iteration, type = "loadings" plots the first 2 principal component loadings, type = "scores" plots the loadings first 2 principal component scores
...	Additional arguments

Examples

# construct a low rank matrix in the natural parameter space
rows = 100
cols = 10
set.seed(1)
mat_np = outer(rnorm(rows), rnorm(cols))

# generate a count matrix
mat = matrix(rpois(rows * cols, c(exp(mat_np))), rows, cols)

# run logistic PCA on it
gpca = generalizedPCA(mat, k = 2, M = 4, family = "poisson")

## Not run: 
plot(gpca)

## End(Not run)

andland/generalizedPCA documentation built on May 12, 2019, 2:42 a.m.