Visualize the missing proportion when the logistic regression method is used.

Description

Visualize the missing proportion when the logistic regression method is used. The maximum number of independent variables is 2. The extra independent variables will be fixed as a value (the default is 0).

Usage

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plotLogitMiss(script, ylim=c(0,1), x1lim=c(-3,3), x2lim=c(-3,3), otherx=0, 
	useContour=TRUE)

Arguments

script

The script used in specifying missing data using the logistic regression. See further details in the logit argument of the miss function

ylim

The range of missing proportion to be plotted.

x1lim

The range of the first independent variable to be plotted

x2lim

The range of the second independent variable to be plotted

otherx

The value of the extra independent variables to be fixed as.

useContour

If there are two or more independent variables, the function will provide 3D graph. Contour graph is a default. However, if this is specified as FALSE, perspective plot is used.

Value

Not return any value. This function will plot a graph only. If the number of independent variable is 0, the bar graph is provided. If the number of independent variables is 1, the logistic curve is provided. If the number of independent variables is 2, contour or perspective plot is provided.

Author(s)

Sunthud Pornprasertmanit (psunthud@gmail.com), Alexander M. Schoemann (East Carolina University; schoemanna@ecu.edu)

See Also

  • miss to create the missing data template

  • impose to impose missing data

Examples

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script <- 'y1 ~ 0.05 + 0.1*y2 + 0.3*y3
	y4 ~ -2 + 0.1*y4
	y5 ~ -0.5' 
plotLogitMiss(script)

script2 <- 'y1 ~ 0.05 + 0.5*y3
	y2 ~ p(0.2)
	y3 ~ p(0.1) + -1*y1
	y4 ~ p(0.3) + 0.2*y1 + -0.3*y2
	y5 ~ -0.5' 
plotLogitMiss(script2)

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