McLachlan150: Mixture of two standard normal distributions

In tlemix: Trimmed Maximum Likelihood Estimation

Description

This simulated data set are discussed by McLachlan and Peel (2000). The data consists of 100 observations generated from a 3-component bivariate normal mixture model with equal mixing proportions. Fifty outliers, generated from a uniform distribution over the range -10 to 10 on each variate are added to the original data. Thus a sample of 150 observations is obtained.

Usage

data(McLachlan150)

Format

A data frame with 100 observations on the following 3 variables.

x

a numeric vector of x-coordinates

y

a numeric vector of y-coordinates

c

a numeric vector of cluster memberships

Author(s)

P. Neytchev, P. Filzmoser, R. Patnaik, A. Eisl and R. Boubela, <[e-mail]> http://www.statistik.tuwien.ac.at/public/filz/

References

McLachlan, G.J. and Peel, D. (2000). Finite mixture models. Wiley, New York.

Examples

data(McLachlan150)
str(McLachlan150)
# Example needs some computing time:
#d <- as.matrix(McLachlan150[,1:2])
#est.tle <- TLE(d~1,"mvtnormal",data=d,Density=FLXmclust.Density,
#           Estimate=FLXmclust.Estimate,msglvl=1,nc=3,class="hard")
#tleplot(est.tle,as.data.frame(d),main="TLE Scatter Plot")

Example output

'data.frame':	150 obs. of  3 variables:
 $ x: num  1.469 0.138 1.078 -3.163 1.179 ...
 $ y: num  3.85 4.07 2.58 2.9 3.44 ...
 $ c: int  1 1 1 1 1 1 1 1 1 1 ...

tlemix documentation built on May 2, 2019, 5:57 a.m.