Description Usage Arguments Author(s) References See Also Examples
View source: R/ordDisp-method.R
A function to visualize the estimated effects of the location-shift model or rating-scale model accounting for response styles
(RSRS) obtained by ordDisp
. In case of linear effects, the function returns a two-dimensional plot of the tupel (exp{α},exp{β}.
It is optional to include pointwise 95% confidence intervals represented by stars, where the horizontal and vertical
length correspond to the confidence intervals of exp{α} (dispersion or response-style effect) and exp{β}
(location or content-related effect). In case of smooth effects, the function returns two plots of the fitted (non-linear) functions f(β)
and f(α).
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x |
Object of class |
names |
Names of the variables that shall be plotted |
colorvec |
Vector of colors that are used for plotting (same length as names) |
reference |
Optional name of reference with estimate (α,β)=(0,0) (for categorical covariates) |
labels |
Optional names that are used as labels in the plot (same length as names) |
cex |
Global argument to set the size of all the labels in the plot |
KI |
If true, pointwise 95% confidence intervals are included in the plot |
KIfactor |
Ratio that is used to plot the stars that represent confidence intervals (only if |
title |
Optional title that is added to the plot |
... |
Further arguments passed to or from other methods |
Moritz Berger <moritz.berger@imbie.uni-bonn.de>
https://www.imbie.uni-bonn.de/personen/dr-moritz-berger/
Tutz, Gerhard and Berger, Moritz (2016): Response Styles in Rating Scales - Simultaneous Modelling of Content-Related Effects and the Tendency to Middle or Extreme Categories, Journal of Educational and Behavioral Statistics 41(3), 239-268.
Tutz, Gerhard and Berger, Moritz (2017): Seperating Location and Dispersion in Ordinal Regression Models, Econometrics and Statistics 2, 131-148.
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