plot.cLHS_result {clhs} R Documentation

## Plot cLHS results

### Description

Produces a plot illustrating the result of a cLHS sampling procedure.

### Usage

## S3 method for class 'cLHS_result'
plot(x, modes = "obj", ...)


### Arguments

 x Object of class “cLHS_result”. modes A character vector describing the plot to produce (see Details) ... Other ggplot2 plotting parameters.

### Details

The subplots to be included in the final illustration are controlled by the mode option: - "obj" adds the evolution of the objective function over the iterations - "cost" adds the evolution of the cost function over the iterations (if available in x) - "hist" adds the comparison of the distributions of each variables in both the original object and the sampled result using histogram plots (for continuous variables). - "dens" adds the comparison of the distributions of each variables in both the original object and the sampled result using density plots (for continuous variables). - "box" adds the comparison of the distributions of each variables in both the original object and the sampled result using boxplots (for continuous variables).

### Author(s)

Pierre Roudier

clhs

### Examples


df <- data.frame(
a = runif(1000),
b = rnorm(1000),
c = sample(LETTERS[1:5], size = 1000, replace = TRUE)
)

res <- clhs(df, size = 50, iter = 1000, use.cpp = FALSE, progress = FALSE, simple = FALSE)

# You can plot only the objective function
plot(res, mode = "obj")

# Or you can compare the distribution in the original object
# and in the sampled result
plot(res, mode = c("obj", "box"))



[Package clhs version 0.9.0 Index]