gettingtothebottom (version 3.2)

plot_solpaths_error: MM Algorithm - Function for plotting the imputed values against the truth for minimum error solution

Description

plot_solpaths_error Function for plotting the imputed values against the truth for minimium error solution found using solutionpaths function

Usage

plot_solpaths_error(A, omega, ans)

Arguments

A

Initial test matrix of fully observed entries

omega

Vector of unobserved entries

ans

Results from solpaths function

Examples

# Generate a test matrix
seed <- 12345
m <- 100
n <- 100
r <- 3
T <- testmatrix(m,n,r,seed=seed)

# Add some noise to the test matrix
E <- 0.1*matrix(rnorm(m*n),m,n)
A <- T + E

# Obtain a vector of unobserved entries
temp <- makeOmega(m,n,percent=0.5)
omega <- temp$omega

# Remove unobserved entries from test matrix
X <- A
X[omega] <- NA

# Make initial model matrix Z and find initial lambda
Z <- matrix(0,m,n)
lambda.start <- init.lambda(X,omega)
lambdaseq_length=20
tol <- 1e-2

ans <- solutionpaths(A,X,Z,omega,lambda.start,tol=tol,
   liveupdates=FALSE,lambdaseq_length=lambdaseq_length)

plot_solpaths_error(A,omega,ans)