predictClustMembership: predictClustMembership

In TaylorAndrew/atPostAnalyze: Methods for Post-Modeling Analyses

Description

predictClustMembership will predict/assign cluster membership to new data based on a kmeans() cluster object

Usage

predictClustMembership(clusterObject, newData)

Arguments

clusterObject	R object from kmeans()
newData	data.frame containing the same variables as were used for computing the clusters in the 'clusterObject'

Value

Vector of cluster membership assignment

Examples

df1 <- data.frame(x= rnorm(100), x2 = rnorm(100), x3 = rnorm(100))
mod <- kmeans(df1, 2)
df2 <- data.frame(x= rnorm(100), x2 = rnorm(100), x3 = rnorm(100))
predictClustMembership(mod, df2)

TaylorAndrew/atPostAnalyze documentation built on May 9, 2019, 4:23 p.m.