13,538 results

Creates nice boxplots from data. You don't need a toolbox. Simple yet fully featured.

array 'T' for a legend. You can add the legend as legend(T)T = bplot(D,x) will plot the boxplot of data D above the 'x' value xT = bplot(D,y,'horiz') will plot a horizontal boxplot at the 'y' value of yT

Quantile-quantile plot with patch option

NOTE: this function is now available from the IoSR Matlab Toolbox as iosr.statistics.qqPlot. ------------------------- qq_plot(y) displays a quantile-quantile plot of the sample quantiles of y versus

Return sound pressure levels of pure tone frequencies at specified loudness level(s).

standard reference frequencies for SPL calculations. Example % Plot equal-loudness contours between 20 and 80 phon % Calculate SPLs phons = 20:10:80; [spl,f] = iso226(phons,[],true); % plot

Calculate subplot positions by specifying figure margins and axis scaling.

subfigrid(nrows,ncols,offset,scale)The spacing of axes using the subplot command can be quite large, and manipulating axis positions after plotting can be tricky. For publication quality graphics, it is better to specify the subplot

Produce an array of responses from a fourth-order Gammatone filter via FFT

Check if mex file is compiled for the OS or if the source was modified since it was compiled.

Produces a colour colormap, of arbitrary length, that is monochrome-compatible.

Find local peaks or troughs in a vector

Create pretty shaded plots and plots to visualize the statistical distribution of data.

plot. plot_distribution may be used to visualize the line plot's mean and standard deviation, while plot_distribution may be used to visualize non-Gaussian statistics of the line plot, e.g. the median

Quantiles of a sample via various methods

NOTE: this function is now available from the IoSR Matlab Toolbox as iosr.statistics.quantile. ------------------------- This function calculates quantiles and weighted quantiles for vectors

Simple code for Histogram plotting and displaying statistical parameters of a gray Image

box whiskers plot, adjustable size and line thickness

* If you have the statistics toolbox, please don't use this one. * If you are not so lucky, come on and download it freely. This is a very simple version but better than none. * If you have time to

Add statistical significance lines and asterisks to an existing plot

This script gets an axis handle and a 4D matrix (stats) and plots significance lines and asterisks on top.Significance lines and asterisks are added only for pairs assigned with a positive value (the

Snag

Version 1.0.0.0

by Sergio Frasca

A signal analysis toolbox aimed to especially to gravitational wave detection

SIGLINE plots a line of statistical significance on the current axis

SIGLINE plots a line of statistical significance on the current axis sigline(xs) plots a significance line between the value in the 2D vector xs along the x-coordinate. sigline(xs,lbl) places a

A function for plotting a Manhattan Plot in MATLAB directly from a text file of GWAS statistics from PLINK, BOLT-LMM or SAIGE

This function takes the output of a PLINK 1.7 assoc command, a BOLT-LMM or SAIGE association test, produces a publication-ready Manhattan Plot, and saves the result as a .fig for manual tweaking and

Class based Correlation Plots and KLD values for I and Q components.

Generates scatter plots of correlation between inphase and quadrature phase components in POlSAR imagery and computes the Kullback Leiber Divergence between them.

BiMat

Version 1.6.0.0

by César Flores García

A MatLab framework to facilitate the analysis of bipartite complex networks

Get the contents of a specified directory

Flexible Statistics Data Analysis Toolbox

features of the different forward plots.All Flexible Statistics Data Analysis Toolbox™ functions are written in the open MATLAB® language. This means that you can inspect the algorithms, modify the source

Calculate loudness weighting coefficients based on ISO 226

STFT and ISTFT fulfilling constant overlap-add criterion

Calculate cross-correlograms with a wide range of options

Calculate ideal time-frequency masks and apply time-frequency masks to signals via STFT

Perceptually-informed spectral centroid.

Evaluating Crowdsourcing Participants in the Absence of Ground-Truth

and W respectively.(b) Resulting probabilities [0, 1] from the model shall be mapped to [-1 1] using the simple transformation, 2 x y{0,1} - 1 = y{-1,1}.Folders ErrorStatistics, MultiLabelerMethods and

Create a Contents.m file including subdirectories

regdata

Version 1.0.0.0

by Arthur Jutan

Calculates and plots regression statistics from lsqcurvefit.m

Calculates and plots regression statistics from lsqcurvefit.m in MATLAB rel 13

Violin Plot

Version 1.7.0.0

by Holger Hoffmann

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

Compute descriptive and inferential statistics for circular or directional data.

CircStat for Matlab=======================Toolbox for circular statistics with Matlab. Authors: Philipp BerensEmail: philipp@bethgelab.orgHomepage

plot beautiful chord chart 好看的弦图绘制

plot beautiful chord chart好看的弦图绘制详细使用请看demodataMat=[2 0 1 2 5 1 2; 3 5 1 4 2 0 1; 4 0 5 5 2 4

This is a simple script will let user select ROI on image and get its descriptive statistic features and column sum plot as well.

To use:1. Run the script2. Select image to work on. 3. Keep on drawing rectangle on the image of different region to keep getting their descriptive statistic features and column sum plots.

Create a fake box and whisker plot from pre-determined statistics (mean, standard deviation, and min/max).

Given pre-determined statistics (mean, standard deviation, and min/max), BOXPLOT_FROMSTATS uses errorbar.m and patch.m to create a fake box and whisker plot, similar to boxchart.m. Options include

Digraph chord chart 有向弦图

Digraph chord chart 有向弦图dataMat=randi([0,8],[6,6]);% 添加标签名称NameList={'CHORD','CHART','MADE','BY','SLANDARER','MATLAB'};BCC=biChordChart(dataMat,'Label',NameList,'Arrow','on');BCC=BCC.draw(); %

Plot the phase portrait for the entered system of differential equations

using the app. The app works with limited functionality for versions preceding R2020b. For versions prior to R2020b, mouse click interactions with the plots (adding trajectories and guessing solutions) do

ZoomPlot

Version 1.5.1

by Kepeng Qiu

MATLAB Code for Interactive Magnification of Customized Regions.

ZoomPlotMATLAB Code for Interactive Magnification of Customized Regions.Version 1.5.1, 5-FEB-2024Email: iqiukp@outlook.com✨ Main featuresEasy application with just two lines of codeInteractive

plotSpread plots distributions of data points, adding jitter to the points to avoid overlap.

plotSpread allows creating "beeswarm plots", i.e. point distributions where jitter has been added to the data points to avoid overlap.It further allows specifying groups within the data to show the

Draw a box plot with various display options

NOTE: this function is now available from the IoSR Matlab Toolbox as iosr.statistics.boxPlot.-------------------------Alternative box plot function for Matlab with many options. These options include

Generate a bar plot with multiple stacks grouped together.

Plot a set of stacked bars, but group them according to labels provided.Params: stackData is a 3D matrix (i.e., stackData(i, j, k) => (Group, Stack, StackElement)) groupLabels is a CELL

othercolor

Version 1.7.0.0

by Joshua Atkins

Extra colormaps for plotting. Contains diverging, sequential, categorical, and perceptual maps.

(indexed, physical, gradient, and named)http://geography.uoregon.edu/datagraphics/color_scales.htmhttp://www.colorbrewer2.orgSome of these maps are better suited for sets of bar or line plots (particularly

Triangular Contour Plot

A tool set for fitting and/or plotting various conics and quadric surfaces, e.g., ellipses, cylinders, spheres, planes, cones, and lines.

This FEX submission offers a tool set for fitting and plotting 2D conics (ellipses, circles, lines,...) as well as 3D quadric surfaces (ellipsoids, spheres, planes, cylinders, cones,...). Each type

3D Polar Plot

Version 1.2.0.0

by Ken Garrard

Plots 3d polar data with polar axis and polar grid

Polarplot3d produces surface, mesh, wireframe and contour plots for three dimensional polar data. A labeled polar axis is drawn at a fixed height or it can follow the surface contour at maximum

Implementations of Rayleigh, Moore-Rayleigh, and Scaled Rayleigh circular statistics

MATLAB toolbox implementing Rayleigh, Moore-Rayleigh, and Scaled Rayleigh circular statistics as well as visualisations for circular tests.

BreakPlot

Version 1.1.0.0

by Michael Robbins

Produces a plot who's y-axis skips to avoid unnecessary blank space

Produces a plot who's y-axis skips to avoid unecesary blank spaceReplaces BREAKAXIS

Statistical analysis using resampling methods

below were named the 'statistics-bootstrap' package. The 'statistics-resampling' package is a more developed version of the older 'iboot' package).DescriptionThe statistics-resampling package is an Octave

This simple code enables you to plot using custom markers.

This simple code enables you to plot using custom markers. It uses custom patches instead of Matlab built-in markers.As the input, you need to provide x and y for the data points, like you do in

spider_plot

Version 20.6

by Moses

Create a spider or radar plot with individual axes.

spider_plotCreate a spider or radar plot with customizable individual axes.The three functions included have the same functionality but with 3 different implementation:spider_plot() is compatible

Plots data density of a two-dimensional distribution for human viewing.

Data density can be hard to read from scatter plots due to overstriking. I therefore calculate data density at each pixel as the reciprocal of the sum of squared distance from each point, adding a

How to turn a collection of XYZ triplets into a surface plot.

How do you turn a collection of XYZ triplets into a surface plot? This is the most frequently asked 3D plotting question that I got when I was in Tech Support. This submission explains how.

Mohr's Circle

Version 1.2.1.0

by Peter L Bishay

App that plots Mohr's circles (2D and 3D) given the state of stress.

NaN Suite

Version 1.0.0.1

by Jan Gläscher

Descriptive Statistics for N-D matrices ignoring NaNs.

The collection of functions in the NaN Suite enhances the functionality of the original 'nan'-functions in the Statistics Toolbox for N-D matrices. In addition, the new function nansem.m calculates

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

The program plots convex closed regions in 2D/3D.

The program plots convex closed regions in 2D/3D. The region is a subset of R2 or R3 such that Ax>=b and lb<=x<=ub. It is also possible to plot points in the same plot.(See help plotregion

Professional Standard Plots within Seconds!!! Take your plots to the next level.

Create Professional standard plots in seconds, without a steep learning curve and with consistency. This Toolbox is supposed to help 'Beginners' take their plots to the next level with essentially

Plot a google map on the background of the current figure using the Static Google Maps API.

plot_google_map.m uses the Google Maps API to plot a map in the background of the current figure. It assumes the coordinates of the current figure are in the WGS84 datum, and uses a conversion code

Scatter(varargin)

Version 1.0.0.0

by ANKUR KUMAR

Plot the fitting line with statistics on Scatter plot

the graph too. If you dont want statistics on the plot, then you can change the format in the function itself.Syntax: Scatter([2,3,6,4,7],[1,2,5,10,89

Plot (Big)

Version 1.6.0.0

by Tucker McClure

Makes MATLAB's line plots much faster.

This simple tool intercepts data going into a plot and reduces it to the smallest possible set that looks identical given the number of pixels available on the screen. It then updates the data as a

Files and code from Computational Statistics: Getting Started with Classification using MATLAB®

This code is provides a simple introduction to some of the Classification capabilities in Statistics Toolbox. Key techniques used includeUsing normplot to see whether features are normally

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