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pastaPlot  

Spaghetti-Plot Fixed and Random Effects of Linear Mixed Models
View on CRAN: Click here


Download and install pastaPlot package within the R console
Install from CRAN:
install.packages("pastaPlot")

Install from Github:
library("remotes")
install_github("cran/pastaPlot")

Install by package version:
library("remotes")
install_version("pastaPlot", "0.1.0")



Attach the package and use:
library("pastaPlot")
Maintained by
Jan-Felix Palnau
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-06-05
Latest Update: 2024-06-05
Description:
Plot both fixed and random effects of linear mixed models, multilevel models in a single spaghetti plot. The package allows to visualize the effect of a predictor on a criterion between different levels of a grouping variable. Additionally, confidence intervals can be displayed for fixed effects. Calculation of predicted values of random effects allows only models with one random intercept and/or one random slope to be plotted. Confidence intervals and predicted values of fixed effects are computed using the 'ggpredict' function from the 'ggeffects' package. Lüdecke, D. (2018) <doi:10.21105/joss.00638>.
How to cite:
Jan-Felix Palnau (2024). pastaPlot: Spaghetti-Plot Fixed and Random Effects of Linear Mixed Models. R package version 0.1.0, https://cran.r-project.org/web/packages/pastaPlot. Accessed 16 Jul. 2026.
Previous versions and publish date:
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Complete documentation for pastaPlot
Functions, R codes and Examples using the pastaPlot R package
Full pastaPlot package functions and examples
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