Box and whiskers plot (without statistics toolbox)

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

Shaded Plots and Statistical Distribution Visualizations

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

Histogram plotting and displaying statistical parameters of an Image

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

simple box whiskers plot (for those who don't have the statistics toolbox)

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

Stacked line plot

Stacked line plots from a matrix or vectors

) contained in the rows of an input 2-D matrix. Each wave has a designated row on the plot. Data may also be specified as vectors X, Y, and Z. The plot is similar to a cascade or waterfall plot.

ISO 226:2003 Normal equal-loudness-level contours

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

Quantile-quantile plot

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

Impulse response acoustic information calculator

Calculate RT, DRR, Cte, and EDT for impulse response file

an audio file or the name of an audio file on the Matlab search path. The file can be of any format supported by the AUDIOREAD function, and have any number of channels; estimates (and plots

Sinc filter

Apply a near-ideal low- or band-pass filter.

Subplot position calculator

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

Gammatone filterbank

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

Check whether mex file is compiled for system

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

Modified CMRmap

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

Localpeaks

Find local peaks or troughs in a vector

Alternative box plot

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

Quantile calculation

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

Statistical Significance

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

A signal analysis toolbox aimed to especially to gravitational wave detection

BiMat

A MatLab framework to facilitate the analysis of bipartite complex networks

Long term average spectrum

Calculate the long-term average spectrum of a signal

Specifies the dimension of operation (defaults to the first non-singleton dimension). 'graph' : {false} | true Choose whether to plot a graph of the LTAS. 'hop' : {NFFT/2} | scalar

smooth

Perform windowed smoothing on a vector using mathematical functions

PeterRochford/SkillMetricsToolbox

A collection of functions for calculating the skill of model predictions against observations.

Manhattan Plots for visualisation of GWAS results

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

Statistical significance line

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

Climate Data Toolbox for MATLAB

A set of low-level functions and tutorials for analyzing and displaying Earth science data.

1/N-Octave Smoothing

Apply 1/NOCT-octave smoothing to a magnitude spectrum.

Statistical analysis of I & Q components of PolSAR Imagery

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.

Violin Plots for plotting multiple distributions (distributionPlot.m)

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

get_contents

Get the contents of a specified directory

STFT and its inverse

STFT and ISTFT fulfilling constant overlap-add criterion

sippi

A Matlab toolbox for sampling inverse problems with complex prior information.

Loudness weighting coefficients

Calculate loudness weighting coefficients based on ISO 226

Precedence-based cross-correlograms

Calculate cross-correlograms with a wide range of options

regdata

Calculates and plots regression statistics from lsqcurvefit.m

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

Calculate and apply time-frequency masks via STFT

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

Perceptual spectral centroid

Perceptually-informed spectral centroid.

ECODATA-Animate

Create customized animated maps of animal movements

Identify Malicious Labelers among Crowdsourcing Participants

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

Functional spread/box plot

Draw a functional plot showing data spread

Functional spread/box plot plots various measures of the spread of data against a continuous variable. These measures include: interquartile range, parametric and non-parametric confidence intervals

skillstats.m

Calculate (and plot) skill statistics for model validation

# skillstats.m: Calculate (and plot) skill statistics for model validationAuthor: Kelly KearneyThis repository includes the code for the `skillstats.m` and `tayoloraxis.m` Matlab functions.The

Recursive contents report

Create a Contents.m file including subdirectories

FSDA - Flexible Statistics Data Analysis toolbox

Flexible Statistics Data Analysis Toolbox

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 code, and create your own

Circular Statistics Toolbox (Directional Statistics)

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

Image Descriptive Statistic with ROI Selection

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.

boxplot_fromstats

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

Violin Plot

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

LRSLibrary

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

Scatter(varargin)

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

hctsa

Highly comparative time-series analysis

Plot Groups of Stacked Bars

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

statistics-resampling

Statistical analysis using resampling methods

## Read me[](https://mybinder.org/v2/gh/acpennlab/statistics-resampling-online/jammy-docker?urlpath=/lab/tree/statistics

plot spread points (beeswarm plot)

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

CanlabCore

Core tools required for running Canlab Matlab toolboxes. The heart of this toolbox is object-oriented tools that enable interactive analysis

Bode plot with asymptotes

Bode plot with asymptotes

The function asymp() corresponds to bode(), but it also plots asymptotes for the magnitude and phase graphs. Phase asymptotes are only horizontal and vertical. asymp() only accepts SISO transfer

Descriptive Statistics

Calculates key values of the descriptive statistics

This function gets the key values for a descriptive statistics such as mean, std, mode, median, quartiles and percentiles. This includes the five- and seven-number summary. Input x must be a vector

Contour Plot for Scattered Data

Triangular Contour Plot

program_statistics

PROGRAM_STATISTICS compiles some statistics about a program. A report is printed;

This simple m-file compiles some statistics about a program. A report is printed; statistics can be optionally returned in a structure.The statistics include:* number of files,* number of functions

3D Polar Plot

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

spider_plot

Create a spider or radar plot with individual axes.

[](https://www.mathworks.com/matlabcentral/fileexchange/59561-spider_plot)[![Open in

Custom Marker Plot

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