mariposa (version 0.7.3)

summary.efa: Summarize an exploratory factor analysis

Description

Creates a detailed summary of an EFA result. All sections are shown by default; set individual toggles to FALSE to suppress specific sections.

Usage

# S3 method for efa
summary(
  object,
  kmo_bartlett = TRUE,
  communalities = TRUE,
  variance_explained = TRUE,
  unrotated_matrix = TRUE,
  rotated_matrix = TRUE,
  pattern_matrix = TRUE,
  structure_matrix = TRUE,
  factor_correlations = TRUE,
  digits = 3,
  ...
)

Value

A summary.efa object (list with $show toggles)

Arguments

object

An efa result object

kmo_bartlett

Show KMO and Bartlett's test? (Default: TRUE)

communalities

Show communalities table? (Default: TRUE)

variance_explained

Show total variance explained? (Default: TRUE)

unrotated_matrix

Show unrotated component/factor matrix? (Default: TRUE)

rotated_matrix

Show rotated matrix (varimax)? (Default: TRUE)

pattern_matrix

Show pattern matrix (oblimin/promax)? (Default: TRUE)

structure_matrix

Show structure matrix (oblimin/promax)? (Default: TRUE)

factor_correlations

Show factor correlation matrix (oblimin/promax)? (Default: TRUE)

digits

Number of decimal places (Default: 3)

...

Additional arguments (ignored)

See Also

efa for the main analysis function.

Examples

result <- efa(survey_data, political_orientation, environmental_concern,
             life_satisfaction, trust_government, trust_media, trust_science)
summary(result)
summary(result, communalities = FALSE)