36 results

Violin Plot based on kernel density estimation, using default ksdensity

This function creates simple violin plots by estimating the kernel density, using matlabs default ksdensity(). Given a matrix or table with m columns, you will get violins for each of the columns

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

The zip-file contains the following files for visualizing distributions:- distributionPlot.m: main function that allows creating violin plots - myHistogram.m: generate histograms with 'ideal' bin

Statistical testing and plots with significance level

Basic representations of two data groups as stripcharts and violin plots. Mann-Whitney U test and t-test are performed with significance level indicators.Dot plots and violin plots are described here

Management of data tables, similar to dataframe in R, with enhanced plotting facilities.

A data distribution visualization that notably includes boxplots and violin plots in a light and clear manner.

The visualization includes: - Raw data - Mean - Median - Standard deviation - Boxplot - Notch - Violin plot (Parzen)Ideal for group comparison, before/after change assessment...Can be typically used

Highly comparative time-series analysis

The app is used for QSP Modeling and Simulation.

Stylish and comprehensive 2-level factorial data plotting using violin plots, half-violin plots, boxplots, raincloud plots, and dotplots

. It combines boxplots, kernel density, and data scatter to produce different hybrids of violin plots, half-violin plots, raincloud plots, and dotplots. Kernel density highlights the overall shape of the

Interactive GUI for Image Processing, Analysis and Vizualisation, similar to ImageJ

Violin plot

Simple violin plot function using 'fitdist' and 'patch' function.Options to make 1-sided violins, rotate the violin horizontally and add a line for the median.

violin plot and ggtheme

violin plot and ggtheme

Matlab Graphical Interface for the study of hypocotyl growth

Multidimensional Analysis Pipeline for Histocytometry (CytoMAP) https://gitlab.com/gernerlab/cytomap

Violin Plots for Matlab

Violin Plots for MatlabA violin plot is an easy to read substitute for a box plot thatreplaces the box shape with a kernel density estimate of the data, andoptionally overlays the data points itself

CIAtah is a software package for calcium imaging analysis of one- and two-photon imaging datasets. https://github.com/bahanonu/ciatah

gQSPsim

This function generates a violin plot with the IQR and median value highlighted.

This function generates a violin plot with the IQR and median value highlighted.

An open-source MATLAB tool for drawing box plot and violin plot with automatic multi-way data grouping.

grpandplot: An open-source MATLAB tool for drawing box plot and violin plot with automatic multi-way data grouping.Man Ho Wong, 2022.Introductiongrpandplot features data grouping by multiple factors

get violin plots from your data

% This function generates a violin plot for each dataset provided as input. % Violin plots are estimated from histcounts MATLAB function. % The thick line in the box represents the

violin plots for strictly positive data.

: https://fr.mathworks.com/matlabcentral/fileexchange/23661-violin-plots-for-plotting-multiple-distributions-distributionplot-m

Automatic quantification of dna fibers from fluorescent images

Draw a box plot with various display options

Automated construction of a legend. - Set box limits as percentiles. - Set whisker extent via various methods.- Use of weighted quantiles.- Creation of violin plots.

Scatter plot with dispersion along the x-axis to reflect the point density

Scatter plot with categories on the x-axis, with width determined by data point density (like a violin plot but with the width of the violin not explicitly drawn but rather setting the x-axis

An improved box plot that shows the data-points along with the median and the quartiles.

underlying distribution (similar to violin plots).The code is designed to be an extremely customizable alternate for the built in boxplot function in MATLAB. The syntax is very similar to that of boxplot.

Boxplots for multiple conditions and groups (part of a larger toolbox for 2-level factorial data)

highlighitng data distribution properties. It combines boxplots, kernel density, and data scatter to produce different hybrids of violin plots, half-violin plots, raincloud plots, and dotplots. Kernel density

Bar plots for multiple conditions and groups (part of a larger toolbox for 2-level factorial data)

highlighitng data distribution properties. It combines boxplots, kernel density, and data scatter to produce different hybrids of violin plots, half-violin plots, raincloud plots, and dotplots. Kernel density

MATLAB LCOE analysis with examples for offshore wind, hydropower, and Monte Carlo simulations.

MATLAB Live Script explaining the LCOE methodology with examples.- `calculateLCOE_switch.m` – Function to compute LCOE for different energy systems.- `violin.m`, `violinplot.m` – Violin plot functions for

This Matlab App (a installer "DrawFigure.mlappinstall"included) is designated to draw scientific figures.

gramm is a powerful and full-featured plotting and visualization toolbox similar to ggplot2 or seaborn

values (uniques or binned) with confidence intervals (stat_summary()) - histograms and density plots of x values (stat_bin() and stat_density()) - box and whisker plots (stat_boxplot()) - violin plots

- Combined Sina, Violin, and Box plot with stats panel

sinaViolinBoxPlot is a versatile MATLAB function for visualizing grouped data distributions. It combines the strengths of three common plot types:Violin plots using KDE for smooth density

Statistical Tools for using Generalized Linear Models (GLM)

adaptation of Bastian Bechtold's Violin plot library, available at https://github.com/bastibe/Violinplot-Matlab, for plotting and John Hartman's emmeans library, available at

Produces sinaplots (density-scaled jittered plots)

Bar charts are bad and have polluted literature since forever. Violin plots can look weird. Strip charts, beeswarm plots, or box plots are better, but do not provide all the relevant information. To

Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0

Automated Curation for Kilosort Output

Save your time when making scientific figures with MATLAB

Single-cell Gene Expression Analysis Toolbox