Summary method for the full_factor function

Summary method for the full_factor function

# S3 method for full_factor
summary(object, cutoff = 0, fsort = FALSE,
  dec = 2, ...)

Arguments

object	Return value from full_factor
cutoff	Show only loadings with (absolute) values above cutoff (default = 0)
fsort	Sort factor loadings
dec	Number of decimals to show
...	further arguments passed to or from other methods

Details

See https://radiant-rstats.github.io/docs/multivariate/full_factor.html for an example in Radiant

See also

full_factor to calculate results

plot.full_factor to plot results

Examples

result <- full_factor(shopping , "v1:v6", nr_fact = 2)
summary(result)
#> Factor analysis
#> Data        : shopping 
#> Variables   : v1, v2, v3, v4, v5, v6 
#> Factors     : 2 
#> Method      : PCA 
#> Rotation    : varimax 
#> Observations: 20 
#> Correlation : Pearson
#> 
#> Factor loadings:
#>      RC1   RC2
#> v1  0.96 -0.02
#> v2  0.04  0.82
#> v3  0.92 -0.14
#> v4 -0.17  0.85
#> v5 -0.92 -0.13
#> v6  0.11  0.85
#> 
#> Fit measures:
#>               RC1  RC2
#> Eigenvalues  2.66 2.15
#> Variance %   0.44 0.36
#> Cumulative % 0.44 0.80
#> 
#> Attribute communalities:         
#> v1 92.38%
#> v2 67.89%
#> v3 85.82%
#> v4 74.56%
#> v5 87.30%
#> v6 73.48%
#> 
#> Factor scores (max 10 shown):
#>    RC1   RC2
#>   1.21 -0.70
#>  -1.18 -0.39
#>   1.36 -0.92
#>   0.17  1.20
#>  -1.32 -0.97
#>   0.88 -0.45
#>   0.67 -0.72
#>   1.58 -0.42
#>  -1.02 -0.74
#>  -0.44  1.18
summary(result, cutoff = .5, fsort = TRUE)
#> Factor analysis
#> Data        : shopping 
#> Variables   : v1, v2, v3, v4, v5, v6 
#> Factors     : 2 
#> Method      : PCA 
#> Rotation    : varimax 
#> Observations: 20 
#> Correlation : Pearson
#> 
#> Factor loadings:
#>      RC1  RC2
#> v1  0.96     
#> v5 -0.92     
#> v3  0.92     
#> v6       0.85
#> v4       0.85
#> v2       0.82
#> 
#> Fit measures:
#>               RC1  RC2
#> Eigenvalues  2.66 2.15
#> Variance %   0.44 0.36
#> Cumulative % 0.44 0.80
#> 
#> Attribute communalities:         
#> v1 92.38%
#> v2 67.89%
#> v3 85.82%
#> v4 74.56%
#> v5 87.30%
#> v6 73.48%
#> 
#> Factor scores (max 10 shown):
#>    RC1   RC2
#>   1.21 -0.70
#>  -1.18 -0.39
#>   1.36 -0.92
#>   0.17  1.20
#>  -1.32 -0.97
#>   0.88 -0.45
#>   0.67 -0.72
#>   1.58 -0.42
#>  -1.02 -0.74
#>  -0.44  1.18