14,415 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

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

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.

Brainstorm: Open source application for MEG/EEG data analysis

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 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

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

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.

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

Find local peaks or troughs in a vector

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

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

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

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

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

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

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

A signal analysis toolbox aimed to especially to gravitational wave detection

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

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

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

Perform windowed smoothing on a vector using mathematical functions

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.

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

Highly comparative time-series analysis

A MatLab framework to facilitate the analysis of bipartite complex networks

Flexible Statistics Data Analysis Toolbox

explore the connection in the various 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

Get the contents of a specified directory

Create a Contents.m file including subdirectories

Create customized animated maps of animal movements

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

Perceptually-informed spectral centroid.

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

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

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

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

Calculates and plots regression statistics from lsqcurvefit.m

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

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

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

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.

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

3D scatter plot

This is an easily usable 3D scatter plot function. Highly compatible with octave.

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

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

Digitize chart data from an image.

Digitizer extracts data points from an image file. Plots in X/Y and Polar can be digitized.Demonstration of usage can be found at: https://youtu.be/zNYWioXi98wDigitizer is an app where you load an

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

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

Triangular Contour 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

Adds a new class for creating nested axes that show zoomed-in regions of a 2D plot

# Matlab Zoomed AxesAdds a new class for creating nested axes that show zoomed-in regions of a 2D plot.Supports multiple zoomed axes per parent and is fully interactive for easy placement. ##

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.