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Switch LCA Class Labels

Source: R/mx_switch_labels.R
mx_switch_labels.Rd

The order of class labels in LCA is arbitrary. This can result in a phenomenon called 'label switching', where classes change places between replications of an analysis. This function attempts to re-order classes in a substantively meaningful way.

Usage

mx_switch_labels(x, param = "weights", decreasing = TRUE, order = NULL)

Arguments

x

An MxModel estimated by mx_mixture or one of its wrappers.

param

The parameter by which to order the classes, defaults to 'weights', which orders classes based on their sample size.

decreasing

logical. Should the classes be sorted in increasing or decreasing order? Default: TRUE

order

Integer, indicating the ordering of classes. Ignored when NULL (default).

Value

An MxModel with "tidySEM" attribute: "mixture"

Details

The argument param can accept either:

  1. The default string "weights", in which classes are sorted by size.

  2. The OpenMx matrix indicator for a specific model parameter; e.g., the first mean is indicated by "M[1,1]". These indicators can be viewed by running table_results(x, columns = NULL).

  3. The letter indicating an OpenMx model matrix, e.g., "M" refers to the matrix of means. To account for all elements of the matrix, Euclidean distance to the origin is used.

Examples

if (FALSE) { # \dontrun{
df <- iris[1:4]
names(df) <- letters[1:4]
res1 <- mx_profiles(data = df, classes = 2)
mx_switch_labels(res1, decreasing = FALSE)
} # }