This function visualizes raw (grouped) data along with the mean, 95% confidence interval, and 1 SD.
Whilst box plots have their place, it's sometimes nicer to see all the data, rather than hiding them with summary statistics such as the inter-quartile range. This function (with a tongue in cheek
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
Quickly create publication-quality plots: automatic colors & subplots, stats, violin/box plots, etc.
Gramm is a powerful plotting toolbox which allows to quickly create complex, publication-quality figures in Matlab, and is inspired by R's ggplot2 library. As a reference to this inspiration, gramm
Matisse is a Matlab-based toolbox designed for the analysis of In Situ Sequencing and other spatially resolved transcriptomics datasets.
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
version 184.108.40.206Jonathan C. Lansey
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 set of low-level functions and tutorials for analyzing and displaying Earth science data.
Time and frequency analysis, signal statistics, etc. of a noise signal.
The present code is a Matlab program for analysis of noise signals. The analysis includes:1) Options for:- signal detrending;- signal normalization.2) Plotting of the:- signal in the time domain
Time and frequency analysis, signal statistics, etc. of a sound signal.
The present code is a Matlab program for signal analysis of a given sound file. The analysis includes:1) Options for:- signal detrending;- signal normalization.2) Plotting of the:- signal in the time
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
Robust regression, robust multivariate analysis, robust classification and much more...
enable us to 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
A function to generate samples from user-specified distributions and combine them through an arbitrary function.
just to generate correlated samples.simulateMC():• Supports most/all of the distribution types in MATLAB's statistics and machine learning toolbox, including truncated distributions.• Can generate
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
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
A data analysis tool that is using the estimation statistics approach.
DABEST is a data analysis tool that is intended to make estimation statistics more accessible to scientific communities. Estimation statistics is a superior alternative to null hypothesis
ParaMonte: Plain Powerful Parallel Monte Carlo MCMC Library for Bayesian optimization in MATLAB, Python, Fortran, C++, C.
Update 6 for Windows. Some visualizations (such as histfit, and autocorrelation plots also require MATLAB's Statistics Toolbox as well as Econometrics Toolbox. However, these toolboxes are not essential
Density Functional American Option pricing with Bayesian Monte Carlo Path Int & MUSIC w/ Kelly Criterion
Multipath computation of American option prices and confidence limits based on statisticsA probability distribution is calculated from a past stock chart and the fat tails are estimated. The
A collection of functions and classes for astronomy and astrophysics experimental and theoretical research.
coordinates, ephemeris and time: Large number of functions for celestial coordinates, time, celestial mechanics, and ephemeris.* Fitting and statistics utilities: Tools for statistics, data analysis and signal
GISMO - a framework for scientific research in seismology/infrasound
than the frustrations of how data is stored and how to get it in to MATLAB. Features include: * Plotting tools for waveforms, catalogs, instrument responses etc. * Waveforms work for any
Functions for propagating uncertainty through an arbitrary function. Includes Monte Carlo simulation method and sum of squares method.
propUncertMC() function uses Monte Carlo simulation to propagate uncertainty.• Supports most/all of the distribution types in MATLAB's statistics and machine learning toolbox, including truncated distributions
The modal parameters of a line-like structure are automatically identified using an SSI-COV algorithm applied to ambient vibration data
algorithm.The function SSICOV_noToolbox which is the automated SSI-COV algorithm but does not use the Statistics and Machine Learning Toolbox. The Linkage algorithm is replaced by the function "PHA_Clustering" by
Peak fitting GUI for Diffraction Data
laboratory X-ray data Change any of the starting fit values and instantly view a sample plot of the fit, before conducting a fit For multiple diffraction patterns, results from previous fit are subsequent
An app for exploring the predictions of an image classification network using several deep learning visualization techniques.
predictions and misclassifications with occlusion sensitivity, Grad-CAM, and gradient attribution.Visualize activations, maximally activating images, and deep dream.Compute and examine the t-SNE plot to better
This example shows how to train a semantic segmentation network using deep learning using Pascal VOC dataset.
StatisticsTo see the distribution of class labels in the CamVid dataset, use countEachLabel. This function counts the number of pixels by class label.tbl =
A non-parametric trend test including Sen's slope method using Mann-Kendall Tau technique
The Mann-Kendall Tau non-parametric function computes a coefficient representing strength and direction of a trend for equally spaced data. While you do not need the Statistics Toolbox to compute
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
Display 3-D color gamut and plot distribution of colors in an image on a chromaticity diagram
three components to display input image and 3-D color gamut, and to plot distribution of colors in an image on a chromaticity diagram. Color space for 3-D color gamut is 'rgb' as a default, but you can
version 220.127.116.11Philipp Berens
Compute descriptive and inferential statistics for circular or directional data.
CircStat for Matlab=======================Toolbox for circular statistics with Matlab. Authors: Philipp BerensEmail: email@example.comHomepage
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.
An Easy to use Corona Virus Trends Graphs Viewer/Comparator for all Countries
This is a trivially easy to use Graphical User Interface App that can automatically download the latest corona-virus statistics and display them. Users can interactively select total-cases
3D-Directional Statistics, Simulation and Visualization: from 3-dimensional spherical distributions
3D-Directional Statistics, Simulation and Visualization (3D-Directional-SSV) is a fast, accurate, and convenient way to calculate, simulate, and visualize from 3-dimensional spherical distributions
Evaluating Crowdsourcing Participants in the Absence of Ground-Truth