R function daisy() from package cluster

Yarnabrina · May 23, 2019, 5:42pm

What are crx and crx_frame? Can you please provide a REPRoducible EXample of your problem? It provides more specifics of your problem, and it helps others to understand what problem you are facing.

If you don't know how to do it, take a look at this thread:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners Guides & FAQs

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

I tried with iris, and the results seem to be fine.

library(cluster)

Dist <- daisy(x = iris,
              metric = "gower")

Dist_mat <- as.matrix(x = Dist)

image(x = Dist_mat)


image(x = 1:nrow(x = Dist_mat),
      y = 1:ncol(x = Dist_mat),
      z = Dist_mat,
      axes = FALSE,
      xlab = "",
      ylab = "",
      col = rainbow(n = 100))

^{Created on 2019-05-23 by the reprex package (v0.3.0)}