cluster: Groups Clusters

In HeeseokMoon/ggedachart: Get You to Your Desired Exploratory Data Analysis Plot Faster

Description

cluster function will draw Clusters for Groups analysis.

Usage

cluster(data, x, y, class, title = NULL, subtitle = NULL, caption = NULL)

Arguments

data	input data.frame
x	x variable
y	y variable
class	class variable
title	main title
subtitle	subtitle
caption	caption

Value

An object of class ggplot

Examples

# Compute data with principal components
df <- iris[c(1, 2, 3, 4)]
pca_mod <- prcomp(df)  # compute principal components

# Data frame of principal components
df_pc <- data.frame(pca_mod$x, Species=iris$Species)  # dataframe of principal components
plot<- cluster(data=df_pc,x="PC1",y="PC2",class="Species",
               title="Iris Clustering",
               subtitle="With principal components PC1 and PC2 as X and Y axis",
               caption="Source: Iris")
plot

HeeseokMoon/ggedachart documentation built on Dec. 31, 2020, 12:59 p.m.