Compute descriptive and inferential statistics for circular or directional data.

Quickly create publication-quality plots: automatic colors & subplots, stats, violin/box plots, etc.

Least squares spline modeling using shape primitives

Plots a Bland-Altman and correlation plot for two data sets, including data grouping.

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

This function visualizes raw (grouped) data along with the mean, 95% confidence interval, and 1 SD.

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

An alternative boxplot function

Add significance bars and asterisks to various plot types

GIBBON: The Geometry and Image-Based Bioengineering add-ON for MATLAB

Draw a box plot with various display options

Tool box of recurrence plot and recurrence quantification analysis

Functions for performing and visualizing mass univariate analyses of event-related potentials.

Isomap projects dataset of n-dimension to k-dimensions.

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

Descriptive Statistics for N-D matrices ignoring NaNs.

Grouped boxplots matlb ploting function

Estimation of coronavirus COVID-19 epidemic evaluation by the SIR model, Code receives and plots most recent data from HDX.

plot pairwise relationships in matrix

Boxplot: boxplotx Quartiles box, 1% whiskers, & outliers

Demonstrates a method for computing percentiles and other basic statistics.

Toolbox for cluster analysis of data ensembles

This model was created based off of fitVirus. This is a data-driven model that obtains up to date data and predicts the spread of COVID-19.

A fast 3D image viewer and slicer that provides measurement, statistics, and visualization tools.

Elegant box plot with a few customisation features

Distance correlation calculation

A univariate scatter plot for matlab

boxplots

(using PRCTILE)

Calculates the non-exceedance probability (inverse of prctile) for xq values from sample of data x.

This function compare if two correlation coefficients are significantly different.

Many statistics of a vector or matrix

Calculates key values of the descriptive statistics

Computes the Gini coefficient and the Lorentz curve of weighted data.

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

Visualize forecast confidence or Monte-Carlo time series simulations

The GEV distribution is calculated with and without the Matlab statistical toolbox for wind data

使数据集的盒子转换

plot data with error bars along both x and y axes

A demo of Ramer-Douglas-Peucker algorithm.

box muller transform

Plots nice error bars as the default. Can also top group plots with error bars.

This function will compute the accuracy of a numerical model when compared to observed data.

This code will generate an animation displaying the spread of COVID-19 and save it as a video file. Data is obtained and processed from HDX.

ThermoGravimetric Analysis (TGA) helps in understanding and optimising pyrolysis process.

Draws a polar dendrogram.

Plot the results of correlation (i.e. corr(X), corr(X,Y)) in a figure with table-like structure.

Revised version of boxplotC to allow coloring and subgroup plotting of boxplots.

Plot a forest plot for meta-analysis or sub-group analysis

Plots pdf, cdf & hazard rate of probability distributions and exports as Excel Chart, pdf, jpg

Plots large amounts of line data fast. Supports x as datetime and duration arrays. Also supports timetables. Supports NaNs in data.

An adjusted_boxplot for skewed data & a comparable whisker_boxplot. Based on Huberta, M. & Vandervieren, E. (2007)

Describe, visualize and model sector risk contagion for a portfolio of securities

Returns local statistics (mean, median, etc) of similar to moving window, but for scattered data.

(and visualize it)

Wrapper for Matlab's bootstrp command, allowing for high dimensional inputs

Does a Wilcoxon rank-sum test and creates box plot for genes etc in healthy vs. disease individuals

Visualize and manipulate parallel coordinate plots with this GUI. UNIVERSITY OF BRISTOL

gr的百分位(s)ouped sample.

Visualise a 2x2 covariance matrix by plotting ellipses at 1, 2 and 3 standard deviations.