tomogRxC3d: Plotting 2x3 Ecological Inference Estimates in 3 dimensions
In ei: Ecological Inference

Description Usage Arguments Details Author(s) References Examples

A tomography plot in 3 dimensions for RxC Ecological Inference data and an estimated Ecological Inference model in RxC data.

1 2	tomogRxC3d(formula, data, total=NULL, lci=TRUE, estimates=FALSE, ci=FALSE, level=.95, seed=1234, color=hcl(h=30,c=100,l=60), transparency=.75, light=FALSE, rotate=TRUE)

`formula`	A formula of the form `cbind(col1, col2,...)~cbind(row1,row2,...)`
`data`	data that contains the data that corresponds to the formula
`total`	‘total’ is the name of the variable in the dataset that contains the number of individuals in each unit
`lci`	logical value specifying the use of the Law of Conservation of Ink, where the implicit information in the data is represented through color gradients, i.e. the color of the plane is a function of the area of the tomography plane.
`estimates`	logical value specifying whether the point estimates of β's are included for each observation on the tomography plot.
`ci`	logical value specifying whether the estimated confidence ellipse is included on the tomography plot.
`level`	numeric value from 0 to 1 specifying the significance level of the confidence ellipse; eg. .95 refers to 95% confidence ellipse.
`seed`	seed value for model estimation.
`color`	color of tomography planes if lci=F.
`transparency`	numeric value from 0 to 1 specifying transparency of tomography planes; 0 is entirely transparent.
`light`	logical value specifying whether lights should be included in the rgl interface. The inclusion of lights will create shadows in the plot that may distort colors.
`rotate`	logical value specifying whether the plot will rotate for 20 seconds.

Requires rgl package and rgl viewer.

Gary King <<email: king@harvard.edu>>; Molly Roberts <<email: molly.e.roberts@gmail.com>>; Soledad Prillaman <<email: soledadartiz@fas.harvard.edu..

Gary King (1997). A Solution to the Ecological Inference Problem. Princeton: Princeton University Press.

data(RxCdata)
formula <- cbind(turnout, noturnout) ~ cbind(white, black, hisp)
tomogRxC3d(formula, RxCdata, total=NULL, lci=TRUE, estimates=TRUE, ci=TRUE, transparency=.5, 
	light=FALSE, rotate=FALSE)