permutationPA: Permutation Parallel Analysis

Description Usage Arguments Details Value References

View source: R/permutationPA.R

Description

Estimate a number of significant principal components from a permutation test.

Usage

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permutationPA(dat, B = 100, threshold = 0.05, verbose = TRUE,
  seed = NULL)

Arguments

dat

a data matrix with m rows as variables and n columns as observations.

B

a number (a positive integer) of resampling iterations.

threshold

a numeric value between 0 and 1 to threshold p-values.

verbose

a logical indicator as to whether to print the progress.

seed

a seed for the random number generator.

Details

Adopted from sva::num.sv, and based on Buja and Eyuboglu (1992)

Value

permutationPA returns

p

a list of p-values for significance of principal components

r

an estimated number of significant principal components based on thresholding p-values at threshold

References

Buja A and Eyuboglu N. (1992) Remarks on parrallel analysis. Multivariate Behavioral Research, 27(4), 509-540


ncchung/jackstraw documentation built on April 4, 2018, 7:58 a.m.