| ggInterval_3Dscatter {ggESDA} | R Documentation |
3D scatter plot for interval data
Description
Visualize the three continuous variable distribution by collecting all vertices in each interval to form a shape of cube.Also show the difference between each group.
Usage
ggInterval_3Dscatter(data = NULL,mapping = aes(NULL),scale=FALSE)
Arguments
data |
A ggSDA object. It can also be either RSDA object or classical data frame, which will be automatically convert to ggSDA data. |
mapping |
Set of aesthetic mappings created by aes() or aes_(). If specified and inherit. aes = TRUE (the default), it is combined with the default mapping at the top level of the plot. You must supply mapping if there is no plot mapping. It is the same as the mapping of ggplot2. |
scale |
A boolean variable,TRUE, standardlize data. FALSE, not standardlize. If variance is too large(or small) or the difference between two variables are too large,it will be distortion or unseeable,which may happen in different units or others. So, a standardlize way is necessary. |
Value
Return a ggplot2 object (It will still be 2-Dimension).
Examples
ggInterval_3Dscatter(facedata[1:5, ], aes(x = BC, y = EH, z = GH))