FD.marginalplot: Marginal Plot of a Flexible Dirichlet
In FlexDir: Tools to Work with the Flexible Dirichlet Distribution

Description Usage Arguments References See Also Examples

Histogram of the observed marginal variable and estimated density function of the marginal variable of a fitted Flexible Dirichlet distribution.

1	FD.marginalplot(x, var, zoomed = T, showgrid = T, showdata = T)

`x`	an object of class FDfitted, usually the result of `FD.estimation`.
`var`	position of the variable to be plotted.
`zoomed`	if `TRUE`, shows only the area where most of the density is concentrated. If `FALSE`, shows the whole range `[0;1]`.
`showgrid`	if `TRUE`, shows the axis and the labels. If `FALSE`, only the graph is printed.
`showdata`	if `TRUE`, prints the histogram of the data. If `FALSE`, shows only the density function.

Ongaro, A. and Migliorati, S. (2013) A generalization of the Dirichlet distribution. Journal of Multivariate Analysis, 114, 412–426.

Migliorati, S., Ongaro, A. and Monti, G. S. (2016) A structured Dirichlet mixture model for compositional data: inferential and applicative issues. Statistics and Computing, doi:10.1007/s11222-016-9665-y.

FD.estimation, FD.ternaryplot, FD.rightplot

data <- FD.generate(n=20,a=c(12,7,15),p=c(0.3,0.4,0.3),t=8)
data
results <- FD.estimation(data, normalize=TRUE,iter.initial.SEM = 5,iter.final.EM = 10)
results
FD.marginalplot(results, var=2)
FD.marginalplot(results, var=2, zoomed=FALSE, showgrid=TRUE, showdata=FALSE)