| animals {dmbc} | R Documentation |
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)