data_personality_traits: The personality traits data

In cellWise: Analyzing Data with Cellwise Outliers

The personality traits data

Description

This dataset describes personality traits of 10 persons. The variables are the 6 traits Anxiety, Agoraphobia, Arachnophobia, Adventurous, Extraversion, and Sociability.

Usage

data("data_personality_traits")

Format

The data contains a list with two elements:

• X
  a 10 by 6 matrix of values describing 6 personality traits for each of the 10 participants.

• W
  a 10 by 6 matrix of cellwise weights. Each weight is the inverse of the length of the support of the membership function of the fuzzy number in the original data set.

Source

G. Hesamian, and Akbari, M. G. (2019), Principal component analysis based on intuitionistic fuzzy random variables, Computational and Applied Mathematics, 38(158), 1–14.

References

P.J. Rousseeuw (2022). Analyzing cellwise weighted data, ArXiv:2209.12697. (link to open access pdf)

Examples

data(data_personality_traits)

# For the examples in Rousseeuw (2022), see:
## Not run: 
vignette("cellwise_weights_examples")

## End(Not run)

cellWise documentation built on Oct. 25, 2023, 5:07 p.m.