plotCluster: Plotting item clusters
In Dani-Schulze/measurementInvariance: (Partial) measurement invariance analysis
Description
Usage
Arguments
Value
Description
Plotting relative DIFs and item clusters.
Usage
1
2
3
plotCluster(res = res_clusterItems,
showLegend = FALSE,
tickWidth = 0.2)
Arguments
res
Results generated by clusterItems or testMI.
showLegend
Adds item identifiers to the plot. Defaults to FALSE.
tickWidth
Give widths of ticks manually. Defaults to 0.2.
Value
A plot, either a single plot if MI analysis was done for only one parameter,
or multiple plots showing the subsequent clustering via item loadings and difficulties.
Relative DIF effects are always moved to a scale where the lowest DIF values is zero.
Dani-Schulze/measurementInvariance documentation built on Jan. 28, 2022, 1:56 a.m.
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Description Usage Arguments Value
Description
Plotting relative DIFs and item clusters.
Usage
1 2 3 | plotCluster(res = res_clusterItems,
showLegend = FALSE,
tickWidth = 0.2)
|
Arguments
res |
Results generated by |
showLegend |
Adds item identifiers to the plot. Defaults to |
tickWidth |
Give widths of ticks manually. Defaults to |
Value
A plot, either a single plot if MI analysis was done for only one parameter, or multiple plots showing the subsequent clustering via item loadings and difficulties. Relative DIF effects are always moved to a scale where the lowest DIF values is zero.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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