Articles by Daniel

Likert-plots and grouped Likert-plots #rstats

May 8, 2019 | Daniel

I’m pleased to anounce an update of my sjPlot-package, a package for Data Visualization for Statistics in Social Science. Thanks to the help of Alexander, it is now possible to create grouped Likert-plots. This is what I want to show in this post… First, we load the required packages ...
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Quickly create Codeplans of your (labelled) Data #rstats

March 27, 2019 | Daniel

The view_df() function from the sjPlot-package creates nice „codeplans“ from your data sets, and also supports labelled data and tagged NA-values. This gives you a comprehensive, yet clear overview of your data set. To demonstrate this function, we use a (labelled) data set from the European Social Survey. view_...
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Marginal Effects for (mixed effects) regression models #rstats

November 28, 2018 | Daniel

ggeffects (CRAN, website) is a package that computes marginal effects at the mean (MEMs) or representative values (MERs) for many different models, including mixed effects or Bayesian models. One of the advantages of the package is its easy-to-use interface: No matter if you fit a simple or complex model, with ...
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Marginal Effects for Regression Models in R #rstats #dataviz

July 3, 2018 | Daniel

Regression coefficients are typically presented as tables that are easy to understand. Sometimes, estimates are difficult to interpret. This is especially true for interaction or transformed terms (quadratic or cubic terms, polynomials, splines), in particular for more complex models. In such cases, coefficients are no longer interpretable in a direct ...
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Anova-Freak and Bayesian Hipster #rstats

March 26, 2018 | Daniel

I’m pleased to announce an update of my sjstats-package. New features are specifically implemented for the Anova and Bayesian statistic and summary functions. Here’s a short overview of what’s new… Anova statistics Beside the already implemented functions to calculate eta-squared, partial eta-squared and omega-squared, it is now ...
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More support for Bayesian analysis in the sj!-packages #rstats #rstan #brms

October 11, 2017 | Daniel

Another quick preview of my R-packages, especially sjPlot, which now also support brmsfit-objects from the great brms-package. To demonstrate the new features, I load all my „core“-packages at once, using the strengejacke-package, which is only available from GitHub. This package simply loads four packages (sjlabelled, sjmisc, sjstats and sjPlot). ...
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Quick #sjPlot status update… #rstats #rstanarm #ggplot2

September 15, 2017 | Daniel

I’m working on the next update of my sjPlot-package, which will get a generic plot_model() method, which plots any kind of regression model, with different plot types being supported (forest plots for estimates, marginal effects and predictions, including displaying interaction terms, …). The package also supports rstan resp. rstanarm ...
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Going Bayes #rstats

August 23, 2017 | Daniel

Some time ago I started working with Bayesian methods, using the great rstanarm-package. Beside the fantastic package-vignettes, and books like Statistical Rethinking or Doing Bayesion Data Analysis, I also found the ressources from Tristan Mahr helpful to both better understand Bayesian analysis and rstanarm. This motivated me to implement tools ...
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Effect Size Statistics for Anova Tables #rstats

July 25, 2017 | Daniel

My sjstats-package has been updated on CRAN. The past updates introduced new functions for various purposes, e.g. predictive accuracy of regression models or improved support for the marvelous glmmTMB-package. The current update, however, added some ANOVA tools to the package. In this post, I want to give a short ...
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My set of packages for (daily) data analysis #rstats

June 19, 2017 | Daniel

I started writing my first package as collection of various functions that I needed for (almost) daily work. Meanwhile, packages were growing and bit by bit I sourced out functions to put them into new packages. Although this means more work for CRAN members when they have more packages to ...
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