avg.plot: Averaged simulated values plot function

In mvnimpute: Simultaneously Impute the Missing and Censored Values

Averaged simulated values plot function

Description

Calculates the average simulated values of all parameters and generates plots.

Usage

avg.plot(
  data.mat,
  start,
  end,
  x.lab = "Iteration number",
  y.lab = "Average of simulated values",
  title = NULL,
  details = FALSE
)

Arguments

data.mat	data matrix including the simulated values for plot.
start	the number of cycle to start.
end	the number of cycle to end.
x.lab	label of the x axis in the generated plot, default is set to "Iteration number".
y.lab	label of the y axis in the generated plot, default is set to "Average of simulated values".
title	title of each generated plot.
details	logical variable to specify whether the average simulated values are returned, default is set to FALSE.

Details

This function calculates the average simulated values across simulations. iter can be any number of iterations you want to draw, the corresponding number of rows of the data should be iter + 1.

Value

The plot of averaged values across iterations. If details = TRUE, a matrix containing the averaged values of all the variables across iterations will be returned.

Examples

### generate some normal data
dat <- MASS::mvrnorm(n = 1000, mu = c(1, 2, 3, 4), Sigma = diag(4))

### set column names
colnames(dat) <- paste0("Var ", 1:ncol(dat))

### average values plot: take sample from 500 to 1000 rows
avg.plot(data.mat = dat[500:1000, ], start = 500, end = 1000, title = "Random Variables")

mvnimpute documentation built on July 6, 2022, 5:08 p.m.