parallel_analysis function

Parallel analysis

Conducts a parallel analysis to determine how many factors to retain in a factor analysis.

parallel_analysis(
  data = NULL,
  names_of_vars = NULL,
  iterations = NULL,
  percentile_for_eigenvalue = 95,
  line_types = c("dashed", "solid"),
  colors = c("red", "blue"),
  eigenvalue_random_label_x_pos = NULL,
  eigenvalue_random_label_y_pos = NULL,
  unadj_eigenvalue_label_x_pos = NULL,
  unadj_eigenvalue_label_y_pos = NULL,
  label_offset_percent = 2,
  label_size = 6,
  dot_size = 5,
  line_thickness = 1.5,
  y_axis_title_vjust = 0.8,
  title_text_size = 26,
  axis_text_size = 22
)

Arguments

• data: a data object (a data frame or a data.table)
• names_of_vars: names of the variables
• iterations: number of random data sets. If no input is entered, this value will be set as 30 * number of variables.
• percentile_for_eigenvalue: percentile used in estimating bias (default = 95).
• line_types: types of the lines connecting eigenvalues. By default, line_types = c("dashed", "solid")
• colors: size of the dots denoting eigenvalues (default = 5).
• eigenvalue_random_label_x_pos: (optional) x coordinate of the label for eigenvalues from randomly generated data.
• eigenvalue_random_label_y_pos: (optional) y coordinate of the label for eigenvalues from randomly generated data.
• unadj_eigenvalue_label_x_pos: (optional) x coordinate of the label for unadjusted eigenvalues
• unadj_eigenvalue_label_y_pos: (optional) y coordinate of the label for unadjusted eigenvalues
• label_offset_percent: How much should labels for the eigenvalue curves be offset, as a percentage of the plot's x and y range? (default = 2)
• label_size: size of the labels for the eigenvalue curves (default = 6).
• dot_size: size of the dots denoting eigenvalues (default = 5).
• line_thickness: thickness of the eigenvalue curves (default = 1.5).
• y_axis_title_vjust: position of the y axis title as a proportion of the range (default = 0.8).
• title_text_size: size of the plot title (default = 26).
• axis_text_size: size of the text on the axes (default = 22).

Details

The following package(s) must be installed prior to running the function: Package 'paran' v1.5.2 (or possibly a higher version) by Alexis Dinno (2018), https://cran.r-project.org/package=paran

Examples

parallel_analysis(
  data = mtcars, names_of_vars = c("disp", "hp", "drat"))
# parallel_analysis(
# data = mtcars, names_of_vars = c("carb", "vs", "gear", "am"))