kmeans: K-means Clustering

In hyunsooseol/snowCluster: Multivariate Analysis

K-means Clustering

Description

K-means Clustering

Usage

kmeans(
  data,
  vars,
  factors,
  k = 2,
  k1 = 2,
  kp = FALSE,
  oc = FALSE,
  algo = "Hartigan-Wong",
  nstart = 10,
  stand = FALSE,
  plot = FALSE,
  angle = 0,
  plot1 = FALSE,
  plot2 = FALSE,
  plot3 = FALSE,
  width = 500,
  height = 500,
  width1 = 500,
  height1 = 500,
  width2 = 500,
  height2 = 500,
  width3 = 500,
  height3 = 500,
  plot4 = FALSE,
  width4 = 500,
  height4 = 500
)

Arguments

data	The data as a data frame.
vars	.
factors	.
k	.
k1	.
kp	.
oc	.
algo	.
nstart	.
stand	.
plot	.
angle	a number from 0 to 90 defining the angle of the x-axis labels, where 0 degrees represents completely horizontal labels.
plot1	.
plot2	.
plot3	.
width	.
height	.
width1	.
height1	.
width2	.
height2	.
width3	.
height3	.
plot4	.
width4	.
height4	.

Value

A results object containing:

results$instructions					a html
results$text					a preformatted
results$ss					a table
results$clustering					a table
results$centroids					a table
results$plot					an image
results$plot1					an image
results$plot2					an image
results$plot3					an image
results$clust					an output
results$clust1					an output
results$oc					a table
results$kp					a table
results$plot4					an image

Tables can be converted to data frames with asDF or as.data.frame. For example:

results$ss$asDF

as.data.frame(results$ss)

hyunsooseol/snowCluster documentation built on April 5, 2025, 2:06 a.m.