mixtools (version 2.0.0)

plotly_seq.npEM: Plotting sequences of estimates from non- or semiparametric EM-like Algorithm using plotly

Description

This is an updated version of plotseq.npEM. For technical details, please refer to plotseq.npEM.

Usage

plotly_seq.npEM (x, col = '#1f77b4' , width = 6,
                   xlab = "Iteration" , xlab.size = 15 , xtick.size = 15,
                   ylab.size = 15 , ytick.size = 15,
                   title.size = 15 , title.x = 0.5 , title.y = 0.95)

Value

plotly_seq.npEM returns a figure with one plot for each component proportion, and, in the case of spEMsymloc, one plot for each component mean.

Arguments

x

an object of class npEM, as output by npEM or spEMsymloc

col

Line color.

width

Line width.

title

Text of the main title.

title.size

Size of the main title.

title.x

Horsizontal position of the main title.

title.y

Vertical posotion of the main title.

xlab

Label of X-axis.

xlab.size

Size of the lable of X-axis.

xtick.size

Size of tick lables of X-axis.

ylab.size

Size of the lable of Y-axis.

ytick.size

Size of tick lables of Y-axis.

Author

Didier Chauveau

References

• Benaglia, T., Chauveau, D., and Hunter, D. R. (2009), An EM-like algorithm for semi- and non-parametric estimation in multivariate mixtures, Journal of Computational and Graphical Statistics (to appear).

• Bordes, L., Chauveau, D., and Vandekerkhove, P. (2007), An EM algorithm for a semiparametric mixture model, Computational Statistics and Data Analysis, 51: 5429-5443.

See Also

plot.npEM, rnormmix, npEM, spEMsymloc, plotly_seq.npEM

Examples

if (FALSE) {
## Examine and plot water-level task data set.
## First, try a 3-component solution where no two coordinates are
## assumed i.d.
data(Waterdata)
set.seed(100)
## Not run:
a <- npEM(Waterdata[,3:10], mu0=3, bw=4) # Assume indep but not iid
plotly_seq.npEM(a)
}