skpr (version 0.57.0)

plot_fds: Plots design diagnostics

Description

Plots design diagnostics

Usage

plot_fds(genoutput, model = NULL, continuouslength = 11)

Arguments

genoutput

The run matrix

model

The model, by default uses the model used in eval_design or gen_design.

continuouslength

Default 9. The precision of the continuous variables.

Value

Plots design diagnostics

Examples

Run this code
# NOT RUN {
#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)
# }

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