plot.cv.lpca: Plot CV for logistic PCA

In logisticPCA: Binary Dimensionality Reduction

Description

Plot cross validation results logistic PCA

Usage

## S3 method for class 'cv.lpca'
plot(x, ...)

Arguments

x	a cv.lpca object
...	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

## Not run: 
negloglikes = cv.lpca(dat, ks = 1:9, ms = 3:6)
plot(negloglikes)

## End(Not run)

logisticPCA documentation built on May 1, 2019, 10:12 p.m.