Sjplot Data Visualization For Statistics In Social Science.
Year: 2018

New functions tab_model( as replacement for sjt.lm( sjt.glm( sjt.lmer( and sjt.glmer( Furthermore, tab_model( is designed to work with the same model objects as plot_model( New colour scales for ggplot objects: scale_fill_sjplot( and scale_color_sjplot( These provide predifined colour palettes from this package. show_sjplot_pals( to show all predefined colour palettes provided by this package. sjplot_pal( to return colour values of a specific palette.  Following functions are now deprecated: sjp.lm( sjp.glm( sjp.lmer( sjp.glmer( and sjp.int( Please use plot_model( instead. sjt.frq( Please use sjmisc::frq(out "v" instead. Removed Defunct Following functions are now defunct: sjt.grpmean( sjt.mwu( and sjt.df( The replacements are sjstats::grpmean( sjstats::mwu( and tab_df( resp. tab_dfs( Changes to functions plot_model( and plot_models( get a prefix.labels argument, to prefix automatically retrieved term labels with either the related variable name or label. plot_model( gets a show.zeroinf argument to show or hide the zero inflation part of models in the plot. plot_model( gets a jitter argument to add some random variation to data points for those plot types that accept show.data TRUE plot_model( gets a legend.title argument to define the legend title for plots that display a legend. plot_model( now passes more arguments in down to ggeffects::plot( for marginal effects plots. plot_model( now plots the zero inflated part of the model for brmsfit objects. plot_model( now plots multivariate response models, i.e. models with multiple outcomes. Diagnostic plots in plot_model( type "diag" can now also be used with brmsfit objects. Axis limits of diagnostic plots in plot_model( type "diag" for Stan models brmsfit or stanreg resp. stanfit can now be set with the axis.lim argument. The grid.breaks argument for plot_model( and plot_models( now also takes a vector of values to directly define the grid breaks for the plot. Better default calculation for grid breaks in plot_model( and plot_models( when the grid.breaks argument is of length one. The terms argument for plot_model( now also allows the specification of a range of numeric values in square brackets for marginal effects plots, e.g. terms "age " or terms "age [pretty]" For coefficient plots, the terms and rm.terms arguments for plot_model( now also allows specification of factor levels for categorical terms. Coefficients for the indicted factor levels are kept resp. removed (see ?plot_model for details) plot_model( now supports clmm objects (package ordinal) plot_model(type "diag" now also shows random effects QQ plots for glmmTMB models, and also plots random effects QQ plots for all random effects (if model has more than one random effect term) Bug fixes plot_model(type "re" now supports standard errors and confidence intervals for glmmTMB objects. Fixed typo for glmmTMB tidier, which may have returned wrong data for zero inflation part of model. Multiple random intercepts for multilevel models fitted with brms area now shown in each own facet per intercept. Remove unnecessary warning in sjp.likert( for uneven category count when neutral category is specified. plot_model(type "int" could not automatically select mdrt.values properly for non integer variables. sjp.grpfrq( now correctly uses the complete space in facets when facet.grid TRUE sjp.grpfrq(type "boxplot" did not correctly label the x axis when one category had no elements in a vector. Problems with German umlauts when printing HTML tables were fixed.