scatterplot: Scatterplot Matrices

In SSRA: Sakai Sequential Relation Analysis

Description

This function produces a scatterplot matrix

Usage

scatterplot(data, select = NULL, type = c("jitter", "size", "count", "sun"))

Arguments

data	a data frame
select	select items to be plotted
type	type of plot, i.e., 'jitter', 'size', 'count', and 'sun'

Details

Using a scatterplot matrix, an overview of the answer patterns for the pairs of items can be taken.

Author(s)

Takuya Yanagida [e-mail], Keiko Sakai [e-mail]

References

Takeya, M. (1991). A new test theory: Structural analyses for educational information. Tokyo: Waseda University Press.

See Also

TSSA, SSRA

Examples

# Example data based on Takeya (1991)

# Select items to be plotted
scatterplot(exdat, select = c("Item2", "Item3", "Item4"))

# Scatterplot matrix: jitter
scatterplot(exdat)

# Scatterplot matrix: size
scatterplot(exdat, type = "size")

# Scatterplot matrix: count
scatterplot(exdat, type = "count")

# Scatterplot matrix: sun
scatterplot(exdat, type = "sun")

Example output

|-----------------------------------------|
| SSRA 0.1-0 (2016-08-22)                 |
|      Sakai Sequential Relation Analysis |
|-----------------------------------------|

SSRA documentation built on May 2, 2019, 2:14 p.m.