factor_analysis_results: Easy Access to Factor Analysis Results

In AFIT-R/anomalyDetection: Implementation of Augmented Network Log Anomaly Detection Procedures

Description

factor_analysis_result Provides easy access to factor analysis results

Usage

factor_analysis_results(data, results = 1)

Arguments

data	list output from factor_analysis
results	factor analysis results to extract. Can use either results name or number (i.e. fa_scores or 2):: fa_loadings (default) fa_scores fa_loadings_rotated fa_scores_rotated num_factors

Value

Returns the one of the selected results:

1. fa_loadings: numerical matrix with the original factor loadings

2. fa_scores: numerical matrix with the row scores for each factor

3. fa_loadings_rotated: numerical matrix with the varimax rotated factor loadings

4. fa_scores_rotated: numerical matrix with the row scores for each varimax rotated factor

5. num_factors: numeric vector identifying the number of factors

See Also

factor_analysis for computing the factor analysis results

Examples

# An efficient means for getting factor analysis results
x <- matrix(rnorm(200*3), ncol = 10)
N <- nrow(x)
p <- ncol(x)

x %>%
  horns_curve() %>%
  factor_analysis(x, hc_points = .) %>%
  factor_analysis_results(fa_scores_rotated)

AFIT-R/anomalyDetection documentation built on Oct. 14, 2019, 5:24 p.m.