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Last data update: 2014.03.03

R: Scatter plot and Contours

EmSkew.contours

R Documentation

Scatter plot and Contours

Description

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.

Usage

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)

Arguments

`g`	The number of components to filter the data at FSC and SSC channels.
`S`	A dataframe.
`obj`	A list including the parameters of a (skew) mixture model.
`distr`	A three letter string specifying the distribution.
`diag.panel`	A logical value, plot density.
`upper.panel`	A string for the panel to be used in upper triangle.
`lower.panel`	A string for the panel to be used in lower triangle.
`levels`	A vector of contour percentage levels for the plots. It should be in the range of 0 to 100.
`attop`	A logical value indicating the direction of diagonal panels.
`clust`	A vector with the cluster labels for each observation of the sample.
`title`	The png file name.
`path`	The path to the folder where plots are stored.
`plot`	A logical variable, whether plot it in the windows.

Scatter plot and Contours

Description

Usage

Arguments

Details

Note

See Also

Results