ggInterval_3Dscatter

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.

Implements an extension of 'ggplot2' and visualizes the symbolic data with multiple plot which can be adjusted by more general and flexible input arguments. It also provides a function to transform the classical data to symbolic data by both clustering algorithm and customized method.

Bo-Syue Jiang

ggESDA

Exploratory Symbolic Data Analysis with 'ggplot2'

ggInterval_3Dscatter function

<dl><dt>data</dt>
<dd>A ggSDA object. It can also be either RSDA object or
classical data frame, which will be automatically convert to ggSDA
data.</dd>
<dt>mapping</dt>
<dd>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.</dd>
<dt>scale</dt>
<dd>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.</dd></dl>

Arguments

3D scatter plot for interval data — ggInterval_3Dscatter

<dl>

<dt>data</dt>
<dd>A ggSDA object. It can also be either RSDA object or
classical data frame, which will be automatically convert to ggSDA
data.</dd>


<dt>mapping</dt>
<dd>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.</dd>


<dt>scale</dt>
<dd>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.</dd>

</dl>

ggInterval_3Dscatter: 3D scatter plot for interval data

Description

Usage

Value

Arguments

Examples