aclhs (version 1.0.1)

aclhs.plot_univariate_pdf: Plot the univariate PDF for a column of acLHS-derived samples.

Description

Plots the univariate PDF of acLHS-sampled points over the original univariate PDF data. The PDF can be plotted for either the dependent or independent variable of the original data.

Usage

aclhs.plot_univariate_pdf(df, aclhs_samples, col, plot_params)

Value

No return value, called for side effects

Arguments

df

The original data in dataframe format

aclhs_samples

The acLHS-derived sample indices

col

The column of data to plot

plot_params

The plotting parameters to use

Examples

## Get the data of interest and get the acLHS sample indices
data(ex_data_2D)
input2D <- ex_data_2D
aclhs_sam <- aclhs(df=input2D, num_samples=50, weights=c(1,1,1), iter=100)

## Set plotting parameters
p_params <- aclhs.plot_params(file_name=tempfile(fileext=".png"),
                              xlab=expression(bold("Temperature [Celsius]")),
                              ylab=expression(bold("Fn(Temperature)")))

## Create plot
aclhs.plot_univariate_pdf(df=input2D, aclhs_samples=aclhs_sam, col=3,
                          plot_params=p_params)