Violin Plots for plotting multiple distributions (distributionPlot.m​)

Function for plotting multiple histograms side-by-side in 2D - better than boxplot.

다운로드
다운로드

이 제출물을 팔로우합니다

편집자 메모: This file was selected as MATLAB Central Pick of the Week

인용 양식

Jonas (2026). Violin Plots for plotting multiple distributions (distributionPlot.m) (https://kr.mathworks.com/matlabcentral/fileexchange/23661-violin-plots-for-plotting-multiple-distributions-distributionplot-m), MATLAB Central File Exchange. 검색 날짜: .

도움

도움 받은 파일: plot spread points (beeswarm plot)

도움 준 파일: Violin Plot, gQSPSim

일반 정보

MATLAB 릴리스 호환 정보

  • 모든 릴리스와 호환

플랫폼 호환성

  • Windows
  • macOS
  • Linux
버전 퍼블리시됨 릴리스 정보 Action
1.15.0

renamed histogram to myHistogram to avoid clash with new Matlab function of the same name, added support for boxplot overlays

다운로드
1.14.0

Improved documentation (more examples, link to plotSpread), added quantiles (thanks to Warwick for suggestion & testing). Also, belated thanks to Kelly for suggesting horizontal orientation.

다운로드
1.13.0

Added the following new features:
- Horizontal plotting
- Plotting of half distributions
- Bugfixes

Additionally, plotSpread is now a separate submission.

다운로드
1.12.0

Added option to align the bars at the left or the right (option "histOri"), as suggested by Yuri. Also, bugfix.

다운로드
1.9.0

Improved normalization options. Thanks to Jake for the suggestion.

다운로드
1.7.0

Fixed a bug in the code, and two mistakes in the example.

다운로드
1.6.0

Made colorbar more meaningful if there is only one colormap and the bins are normalized globally (i.e. globalNorm is set to 1). Thanks to Brian Katz for the suggestion.

다운로드
1.4.0

Changed input from optional arguments to parameterName/parameterValue pairs (note that the old syntax still works!).
Added several new features, such as support for grouped variables, overlay of data points, and user-defined colormaps.

다운로드
1.3.0

Updated title to Violin Plot, because that's how (part) of these plots are called elsewhere.

다운로드
1.2.0

Documented previously undocumented functionality, chose better screenshot to demonstrate how distributionPlot is better for comparing distributions than boxplot

다운로드
1.1.0

Fixed cryptic error if the data was all NaNs (thanks Christopher for pointing it out!).
distributionPlot now also automatically converts arrays in cells to vectors and throws a warning.

다운로드
1.0.0

다운로드