plot.RdThese `plot` methods for different results, including:
Hull plot for Hull results.
Comparison Data plot for CD results.
Parallel Analysis plot for PA results.
Empirical Kaiser Criterion for EKC results.
Kaiser-Guttman Criterion for KGC results.
K-means plot for EFAkmeans results.
Hierarchical Clustering plot for EFAhclust results.
pre-trained Neural Networks plot for NN results.
Factor Forest for FF results.
Comparison Data Forest plot for CDF results.
Voting Method plot for EFAvote results.
Scree Plot for EFAscreet results.
Minimum Average Partial Test plot for MAP results.
Scree Test Optimal Coordinate plot for STOC results.
# S3 method for class 'Hull'
plot(x, ...)
# S3 method for class 'CD'
plot(x, ...)
# S3 method for class 'PA'
plot(x, ...)
# S3 method for class 'EKC'
plot(x, ...)
# S3 method for class 'KGC'
plot(x, ...)
# S3 method for class 'EFAkmeans'
plot(x, ...)
# S3 method for class 'EFAhclust'
plot(x, ...)
# S3 method for class 'NN'
plot(x, ...)
# S3 method for class 'FF'
plot(x, ...)
# S3 method for class 'CDF'
plot(x, ...)
# S3 method for class 'EFAvote'
plot(x, ...)
# S3 method for class 'EFAscreet'
plot(x, ...)
# S3 method for class 'MAP'
plot(x, ...)
# S3 method for class 'STOC'
plot(x, ...)None. Plots are produced as side effects.
plot(Hull): Plot method for Hull objects
plot(CD): Plot method for CD objects
plot(PA): Plot method for PA objects
plot(EKC): Plot method for EKC objects
plot(KGC): Plot method for KGC objects
plot(EFAkmeans): Plot method for EFAkmeans objects
plot(EFAhclust): Plot method for EFAhclust objects
plot(NN): Plot method for NN objects
plot(FF): Plot method for FF objects
plot(CDF): Plot method for CDF objects
plot(EFAvote): Plot method for EFAvote objects
plot(EFAscreet): Plot method for EFAscreet objects
plot(MAP): Plot method for MAP objects
plot(STOC): Plot method for STOC objects