plot.NMixPredCDFMarg function

Plot computed marginal predictive cumulative distribution functions

Plot computed marginal predictive cumulative distribution functions

This is a basic plotting tool to visualize computed marginal cumulative distribution functions, see NMixPredCDFMarg.

## S3 method for class 'NMixPredCDFMarg'
plot(x, K=0, auto.layout=TRUE,
    type="l", col="darkblue", lty=1, lwd=1, main, xlab, ylab, ...)

Arguments

  • x: an object of class NMixPredCDFMarg.

  • K: if equal to 0 then the overall predictive CDF's are plotted taken from the dens part of the object x.

    If higher than 0 then the predictive CDF conditioned by the value of K is plotted (taken from the densK part of the object x).

  • auto.layout: if TRUE then the function determines itself how to divide the plotting region to draw densities for all margins.

  • type: type of the plot.

  • col: color used to draw the lines.

  • lty: type of the line.

  • lwd: line width.

  • main: main title of the plot. Either character which is replicated or a vector of characters of the length equal to the number of margins.

  • xlab: label for the x-axis. Either character which is replicated or a vector of characters of the length equal to the number of margins.

  • ylab: label for the y-axis. Either character which is replicated or a vector of characters of the length equal to the number of margins.

  • ...: additional arguments passed to the plot function.

Returns

invisible(x)

References

Komárek, A. (2009). A new R package for Bayesian estimation of multivariate normal mixtures allowing for selection of the number of components and interval-censored data. Computational Statistics and Data Analysis, 53 (12), 3932--3947.

See Also

NMixPredCDFMarg, NMixMCMC.

Author(s)

Arnošt Komárek arnost.komarek@mff.cuni.cz

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