Yamm (version 1.3.2)

clusters2d: Three Clusters of 2-dimensional Data

Description

This dataset with 103 observations contains three clusters, which are generated from different independent normal distributions randomly, and two outliers (located in the last two rows).

Usage

data("clusters2d")

Format

The first cluster has 26 observations, and the two variables are generated from \(N(3, 1)\) and \(N(4, 1)\) respectively. The second cluster has 36 observations, and the two variables are generated from \(N(10, 1.5)\) and \(N(-2, 1.5)\) respectively. The third cluster has 39 observations, and the two variables are generated from \(N(2, 0.5)\) and \(N(-2, 0.5)\) respectively. The two outliers are \(c(100.3, 99.1)\) and \(c(97.5, 98.4)\).

References

Chen, F. and Nason, Guy P. (2020) A new method for computing the projection medi an, its influence curve and techniques for the production of projected quantile plots. PLOS One, 10.1371/journal.pone.0229845

Examples

# NOT RUN {
data(clusters2d)
# }