OrdVarCoordinates: Coordinates of an ordinal variable on the biplot.

In MultBiplotR: Multivariate Analysis Using Biplots in R

Coordinates of an ordinal variable on the biplot.

Description

Coordinates of an ordinal variable on the biplot.

Usage

OrdVarCoordinates(tr, b = c(1, 1), inf = -12, sup = 12, step = 0.01,
                 plotresponse = FALSE, label = "Item", labx = "z", laby
                 = "Probability", catnames = NULL, Legend = TRUE,
                 LegendPos = 1)

Arguments

tr	A vector containing the thresholds of the model, that is, the constatn for each category of the ordinal variable
b	Vector containing the common slopes for all categories of the ordinal variable
inf	The inferior limit of the values to be sampled on the biplot axis (it depends on the scale of the biplot).
sup	The superior limit of the values to be sampled on the biplot axis (it depends on the scale of the biplot).
step	Increment (step) of the squence
plotresponse	Should the item be plotted
label	Label of the item.
labx	Label for the X axis in the summary of the item.
laby	Label for the Y axis in the summary of the item.
catnames	Names of the categories.
Legend	Should a legend be plotted
LegendPos	Position of the legend.

Details

The function calculates the coordinates of the points that define the separation among the categories of an ordinal variable projected onto an ordinal logistic biplot.

Value

An object of class OrdVarCoord

z	Values of the cut points on the scale of the biplot axis (not used)
points	The points for the marks to be represented on the biplot.
labels	The labels for the points
hidden	Are there any hidden categories? (Categories whose probability is never hier than the probabilities of the rest)
cathidden	Number of the hidden cateories

Author(s)

Jose Luis Vicente Villardon

References

Vicente-Villardon, J. L., & Sanchez, J. C. H. (2014). Logistic Biplots for Ordinal Data with an Application to Job Satisfaction of Doctorate Degree Holders in Spain. arXiv preprint arXiv:1405.0294.

Examples

# No examples

MultBiplotR documentation built on Nov. 21, 2023, 5:08 p.m.