Plot method for principal component analysis — plot.see_parameters

The plot() method for the parameters::principal_components() function.

Usage

# S3 method for class 'see_parameters_pca'
plot(
  x,
  type = c("bar", "line"),
  size_text = 3.5,
  color_text = "black",
  size = 1,
  show_labels = TRUE,
  ...
)

Arguments

x: An object.
type: Character vector, indicating the type of plot. Options are three different shapes to represent component loadings; "bar" (default) for a horizontal bar chart, or "line" for a horizontal point and line chart.
size_text: Numeric value specifying size of text labels.
color_text: Character specifying color of text labels.
size: Depending on type, a numeric value specifying size of bars, lines, or segments.
show_labels: Logical. If TRUE, text labels are displayed.
...: Arguments passed to or from other methods.

Value

A ggplot2-object.

Examples

library(parameters)
data(mtcars)
result <- principal_components(mtcars[, 1:7], n = "all", threshold = 0.2)
result
#> # Loadings from Principal Component Analysis (no rotation)
#> 
#> Variable |   PC1 |   PC2 |  PC3 |   PC4 |  PC5 |   PC6 | Complexity
#> -------------------------------------------------------------------
#> mpg      | -0.93 |       |      | -0.30 |      |       |       1.30
#> cyl      |  0.96 |       |      |       |      | -0.21 |       1.18
#> disp     |  0.95 |       |      | -0.23 |      |       |       1.16
#> hp       |  0.87 |  0.36 |      |       | 0.30 |       |       1.64
#> drat     | -0.75 |  0.48 | 0.44 |       |      |       |       2.47
#> wt       |  0.88 | -0.35 | 0.26 |       |      |       |       1.54
#> qsec     | -0.54 | -0.81 |      |       |      |       |       1.96
#> 
#> The 6 principal components accounted for 99.30% of the total variance of the original data (PC1 = 72.66%, PC2 = 16.52%, PC3 = 4.93%, PC4 = 2.26%, PC5 = 1.85%, PC6 = 1.08%).
#> 
plot(result)