dmbc (version 1.0.3)

animals: List of binary dissimilarity matrices among 18 animals.

Description

To illustrate the MDS analysis of sorting data, Takane et al. (2009) refer to judgments on the similarity between n = 18 animals expressed by S = 20 subjects. Each subject was asked to divide the animals into as many groups as needed, based on their similarity. We converted these values to 0 or 1 depending on whether a pair of animals is placed or not in the same group by a subject.

Usage

data(animals)

Format

A dmbc_data object whose diss element is a list of 20 binary dissimilarity matrices. Each matrix is defined as a dist object measuring whether each pair of the 18 animals has is placed in the same group (1) or not (0). The dist objects have rows and columns that are named as follows:

be

bear

cm

camel

ct

cat

cw

cow

dg

dog

el

elephant

gf

giraffe

fx

fox

hs

horse

li

lion

mk

monkey

ms

mouse

pg

pig

rb

rabbit

sh

sheep

sq

squirrel

tg

tiger

wf

wolf

References

Takane, Y., Jung, S., Takane, Y. O. (2009). "Multidimensional Scaling". In Millsap, R. E., Maydeu-Olivares, A. (eds.), The SAGE Handbook of Quantitative Methods in Psychology, chapter 10, pp. 217–242,.

Examples

data(animals)
library(bayesplot)
cols <- color_scheme_set("teal")
plot(animals, colors = unlist(cols)[c(1, 6)], font = 1, cex.font = 0.75)