plot_fds {skpr}

Fraction of Design Space Plot

Description

Creates a fraction of design space plot

Usage

plot_fds(
  genoutput,
  model = NULL,
  continuouslength = 1001,
  plot = TRUE,
  sample_size = 10000,
  yaxis_max = NULL,
  description = "Fraction of Design Space"
)

Arguments

genoutput

The design, or the output of the power evaluation functions. This can also be a list of several designs, which will result in all of them being plotted in a row (for easy comparison).

model

Default 'NULL'. The model, if 'NULL' it defaults to the model used in 'eval_design' or 'gen_design'.

continuouslength

Default '11'. The precision of the continuous variables. Decrease for faster (but less precise) plotting.

plot

Default 'TRUE'. Whether to plot the FDS, or just calculate the cumulative distribution function.

sample_size

Default '10000'. Number of samples to take of the design space.

yaxis_max

Default 'NULL'. Manually set the maximum value of the prediction variance.

description

Default 'Fraction of Design Space'. The description to add to the plot. If a vector and multiple designs passed to genoutput, it will be the description for each plot.

Value

Plots design diagnostics, and invisibly returns the vector of values representing the fraction of design space plot. If multiple designs are passed, this will return a list of all FDS vectors.

Examples

#We can pass either the output of gen_design or eval_design to plot_correlations
#in order to obtain the correlation map. Passing the output of eval_design is useful
#if you want to plot the correlation map from an externally generated design.

#First generate the design:

candidatelist = expand.grid(X1 = c(1, -1), X2 = c(1, -1))

design = gen_design(candidatelist, ~(X1 + X2), 15)

plot_fds(design)