factor_sim | R Documentation |
Calculate the similarity matrix for a set of factors in a data frame using various similarity methods.
factor_sim(des, method = c("Jaccard", "Rogers", "simple matching", "Dice"))
des |
A data frame containing factors for which the similarity matrix will be computed. |
method |
A character vector specifying the method used for computing the similarity. The available methods are:
|
The factor_sim
function computes the similarity matrix for a set of factors in a data frame using the chosen method.
The function first converts the data frame into a model matrix, then calculates the similarity matrix using the proxy::simil
function from the proxy
package.
The function supports four similarity methods: Jaccard, Rogers, simple matching, and Dice. The choice of method depends on the specific use case and the desired properties of the similarity measure.
A similarity matrix computed using the specified method for the factors in the data frame.
# Sample data
des <- data.frame(
var1 = factor(c("a", "b", "a", "b", "a")),
var2 = factor(c("c", "c", "d", "d", "d"))
)
# Compute similarity matrix using Jaccard method
sim_jaccard <- factor_sim(des, method = "Jaccard")
# Compute similarity matrix using Dice method
sim_dice <- factor_sim(des, method = "Dice")
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