clhs (version 0.4-3)

plot.cLHS_result: 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 mdoe option: - "obj" adds the evolution of the objective function over the iterations - "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).

See Also

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 = 2000, 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", "hist"))