plotly_seq.npEM {mixtools} | R Documentation |
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)
Arguments
x |
an object of class |
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. |
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.
Author(s)
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
## Not run:
## 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)
## End(Not run)