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).
1 2 
script 
The script used in specifying missing data using the logistic regression. See further details in the 
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 
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.
Sunthud Pornprasertmanit (psunthud@gmail.com), Alexander M. Schoemann (East Carolina University; schoemanna@ecu.edu)
miss
to create the missing data template
impose
to impose missing data
1 2 3 4 5 6 7 8 9 10 11  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)

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
Please suggest features or report bugs with the GitHub issue tracker.
All documentation is copyright its authors; we didn't write any of that.