jamovi module as ggplot2 wrapper to generate basic stats plots (histogram, boxplot, barplot, piechart,...) with many options along with Likert and multiple response barplots, Principal component analysis and (Multiple) Correspondence analysis.
- Remove plot sizing options (built in jamovi 2.7.16+)
- Axis options to set axis label sizes, rotation, range
- Regression line in scatter plot
- Density line in histogram
- Bar plot (much) improved with labels and percent by group/category
- Pie chart label options
- Option to show % labels in MR Frequencies & Crosstabs plots
- Single color option for scatter plot without group
- Option to choose 1 color from palette for bar plot, box plot, MR plot without group
- Unused levels are now retained in boxplot, barplot, raincloud (if checked in variable settings)
- More color palettes
- Option UI tidied up
- French translation completed
- Spanish translation (first draft)
- Module icon (coming in the next version of jamovi app)
- Almost ready for 1.0
- Multiple Response Frequencies/crosstab can handle multi-valued variables
- Multiple Correspondence Analysis (using FactoMineR)
- Update Correspondence Analysis (using FactoMineR)
- Option to save PCA scores in Principal Component Analysis
- Viridis and Dichromat palettes added
- Title/Subtitle/Caption options for all plots
- Legend and axis label options for all plots
- Small fixes and improvements
- Principal Component Analysis
- Plot Titles & Subtitle in Correspondence Analysis
- "Use variable's description as name" for Likert, CA, PCA
- Moved vijPlots menu to Jamovi 2.7 "Plots" ribbon
- Table and tests (KW, post hoc) added to Likert Plot
- Improve data handling for Likert Plot
- Principal Component Plot (work in progress)
- Correspondence (analysis) Plot
- Improve text size computation for Likert Plot
- Q-Q & P-P Plots (using qqplotr package)
- Raincloud plot
- Improved Boxplot: Labels (for outliers), staples, notched box, horizontal plot, legend at bottom, NA's, custom plot size
- Improved Likert plot: Fix bugs with "by group" total computation and with "reverse staking order", fix missing values exclusion, add % accuracy setting, ignore group NA setting.
- Fix label position in Scatterplot
- Line Chart
- Area Chart
- Option "Auto" for text color in Barchart and Piechart using ggstats::hex_bw()
- Sort (by median) in Boxplot
- Color Options in Multiple Response Frequencies & Crosstab
- Option to convert variables to integer in Likert Plot.
- Likert Plot can plot a single variable
- Lollipop plot
- Improve normal curve in histogram using ggh4x
- French translation
- bug fixes
- barplot and scatterplot geom wrappers added.
- merged with vijMR (multiple response) and vijLikert
- boxplot and pie chart geom wrappers added.
- First public release with histogram geom wrapper.
- Larmarange J. (2025). ggstats: Extension to 'ggplot2' for Plotting Stats. R package version 0.8.0, https://github.com/larmarange/ggstats.
- Almeida, A., Loy, A., Hofmann, H. (2023). qqplotr: Quantile-Quantile Plot Extensions for 'ggplot2'. R package version 0.0.6, https://github.com/aloy/qqplotr.
- Bernaards, C., Gilbert, P., Jennrich, R. (2025), GPArotation: Gradient Projection Factor Rotation. R package version 2025.3.1, https://cran.r-project.org/package=GPArotation.
- Greenacre, M. (2010), Biplots in Practice, Fundación BBVA. https://www.fbbva.es/en/publicaciones/biplots-in-practice-7/.
- Husson, F., Josse, J., Le, S., Mazet, J. (2025). FactoMineR: Multivariate Exploratory Data Analysis and Data Mining. R package version 2.12, https://cran.r-project.org/package=FactoMineR
- Engler, J.B. (2026). tidyplots: Tidy Plots for Scientific Papers, R package version 0.4.0, https://CRAN.R-project.org/package=tidyplots















