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sjPlot - Data Visualization for Statistics in Social Science.

Authors: Daniel Lüdecke;

sjPlot - Data Visualization for Statistics in Social Science.

Abstract

General Revised some help-files and vignettes. Removed / Defunct Following functions are now defunct: sjt.lm(), sjt.glm(), sjt.lmer() and sjt.glmer(). Please use tab_model() instead. Changes to functions tab_model() supports printing simplex parameters of monotonic effects of brms models. tab_model() gets a prefix.labels-argument to add a prefix to the labels of categorical terms. The rotation-argument in sjt.pca() and sjp.pca() now supports all rotations from psych::principal(). Bug fixes plot_model() no longer automatically changes the plot-type to "slope" for models with only one predictor that is categorical and has more than two levels. type = "eff" and type = "pred" in plot_model() did not work when terms was not specified. If robust standard errors are requested in tab_model(), the confidence intervals and p-values are now re-calculated and adjusted based on the robust standard errors. colors = "bw" was not recognized correctly for plot_model(..., type = "int"). Fix issue in sjp.frq() with correct axis labels for non-labelled character vectors.

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download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
75
Top 1%
Top 10%
Top 1%
376
3