Contour of fitted mixture density cab be an important indicator of goodness-of-fit. Together with the heatmaps, this function provides a general idea of how well the mixtue model fits to the data.
EmSkew.flow(S, obj = NULL, distr="",diag.panel=TRUE,upper.panel="type2",
lower.panel ="type3", levels=seq(5, 95,by=20),attop=FALSE,clust=NULL,
title="",path="",plot=TRUE)
EmSkew.contours(S, obj = NULL, clust = NULL,distr="",diag.panel=TRUE,
upper.panel="type2",lower.panel="type3",levels=seq(5,95,by=20),
plot=TRUE,title="",path='',attop =FALSE) EmSkew.filter(S, g=1,distr="mst",diag.panel=TRUE,upper.panel="type2",
lower.panel = "type3", levels = 90, attop = FALSE,
title="",path="",plot=TRUE)
The number of components to filter the data at FSC and SSC channels.
A dataframe.
A list including the parameters of a (skew) mixture model.
A three letter string specifying the distribution.
A logical value, plot density.
A string for the panel to be used in upper triangle.
A string for the panel to be used in lower triangle.
A vector of contour percentage levels for the plots. It should be in the range of 0 to 100.
A logical value indicating the direction of diagonal panels.
A vector with the cluster labels for each observation of the sample.
The png file name.
The path to the folder where plots are stored.
A logical variable, whether plot it in the windows.
R package geneplotter is required.