The mlsmu6_out dataset contains the multidimensional scaling (MDS) solution generated by applying the mlsmu6 function to a subset of the interest1981 dataset. The MDS solution is computed using two dimensions and a cutoff value of 5, with data grouped by political party labels.
Format
A matrix or data frame, depending on the structure of the output from mlsmu6, typically containing coordinates in the reduced dimensional space.
Details
The mlsmu6_out object is generated by running the following command:
mlsmu6_out <- mlsmu6(input = interest1981[, 9:38], ndim = 2, cutoff = 5,
id = factor(interest1981$party, labels = c("D", "R")))The mlsmu6 function applies multidimensional scaling to reduce the dimensionality of the input data, with the number of dimensions set to 2 and a cutoff value of 5. The input data is a subset of the interest1981 dataset, specifically columns 9 to 38, grouped by the political party (party) variable.
Examples
if (FALSE) { # \dontrun{
data(mlsmu6_out)
} # }