plot.gmf: Plot generalized MF

In andland/generalizedPCA: Generalized PCA

Description

Plots the results of a generalized MF

Usage

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

Arguments

x	generalized MF 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 logit scale
rows = 100
cols = 10
set.seed(1)
mat_logit = outer(rnorm(rows), rnorm(cols))

# generate a binary matrix
mat = (matrix(runif(rows * cols), rows, cols) <= inv.logit.mat(mat_logit)) * 1.0

# run logistic SVD on it
gmf = generalizedMF(mat, k = 2, family = "binomial")

## Not run: 
plot(gmf)

## End(Not run)

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