The original object is created by applying the blackbox_transpose function to a dataset of rankings.
This function is used to perform multidimensional scaling on a set of rankings, handling missing values
and using specified dimensions and scaling parameters.
Usage
data(original)Details
The original object was created using the following call:
original <- blackbox_transpose(rankings,
missing = c(77, 88, 89),
dims = 3,
minscale = 5,
verbose = FALSE)rankings: A dataset containing the rankings to be analyzed.
missing: A vector of values that are treated as missing data.
dims: The number of dimensions to be used in the multidimensional scaling.
minscale: The minimum scale to be applied in the scaling process.
verbose: A logical flag indicating whether to print detailed output during the process.
The blackbox_transpose function is typically used to analyze and visualize multidimensional data, allowing researchers
to understand the underlying structure of ranked data by transforming it into a lower-dimensional space.
Examples
if (FALSE) { # \dontrun{
data(original)
} # }