Min.Version: 2024 (10.1) Updated on: 12/5/2023

Statistical process control (SPC) or statistical quality control (SQC) is the application of statistical techniques to measure, monitor and control the quality of a process.

Min.Version: 2019 (9.6) Updated on: 12/5/2023

DOE: Design an experiment, fit a model to experimental data, and find best factor settings that optimize responses.

Min.Version: 2019b (9.65) Updated on: 12/5/2023

Help to determine the appropriate statistical test/tool/App.

Min.Version: 2021b (9.85) Updated on: 12/5/2023

Identify the optimal number of clusters.

Min.Version: 2024 (10.1) Updated on: 11/20/2023

Perform poisson regression with Python.

Min.Version: 2017 (9.4) Updated on: 11/20/2023

Create Forest Plot

Min.Version: 2018 (9.5) Updated on: 11/13/2023

Perform multiple comparisons for Kruskal-Wallis ANOVA, Moods Median Test and Friedman ANOVA.

Min.Version: 2020 (9.7) Updated on: 6/15/2023

Perform binary, multinomial, and ordinal logistic regression.

Min.Version: 2022b (9.95) Updated on: 6/5/2023

Help to perform analysis on matrices, including importing, calculating, and exporting.

Min.Version: 2020 (9.7) Updated on: 6/5/2023

Connect to SAS XPORT files

Min.Version: 2023b (10.05) Updated on: 4/27/2023

Perform Chi-Square Test for contingency table to determine whether there is significant evidence of association between two variables.

Min.Version: 2023b (10.05) Updated on: 4/27/2023

Perform power and sample size analysis for equivalence tests including one-sample, two-sample and paired-sample.

Min.Version: 2023b (10.05) Updated on: 4/27/2023

Perform rainflow cycle counting algorythm for fatigue analysis.

Min.Version: 2022 (9.9) Updated on: 4/26/2023

Perform structural equation modeling optimization.

Min.Version: 2020 (9.7) Updated on: 4/25/2023

Explore the relation between continuous or categorical independent variables and specified quantiles of a dependent variable.

Min.Version: 2020 (9.7) Updated on: 4/25/2023

Fit Gaussian mixture models and cluster test data.

Min.Version: 2020 (9.7) Updated on: 4/25/2023

Perform regression to study the relationship between a response variable and categorical or continuous independent variables.

Min.Version: 2020 (9.7) Updated on: 4/25/2023

Compare parameters across multiple datasets, or compare multiple datasets using a nonlinear model.

Min.Version: 2017 (9.4) Updated on: 4/4/2023

An enhanced version of Principal Component Analysis tool.

Min.Version: 2023 (10.0) Updated on: 2/28/2023

Calculate the uncertainty of a function based on variables'' uncertainties.

Min.Version: 2017 (9.4) Updated on: 2/22/2023

Perform simple time series analysis including autocorrelation, cross correlation, differencing, and single exponential smoothing.

Min.Version: 2017 (9.4) Updated on: 2/3/2023

Compute Allan variance for time series at given tau values.

Min.Version: 2017 (9.4) Updated on: 1/19/2023

Perform Equivalence Test for one sample, two samples and paired samples.

Min.Version: 2023 (10.0) Updated on: 11/3/2022

Create Gardner–Altman plot with raw or indexed data to compare mean difference.

Min.Version: 2023 (10.0) Updated on: 11/3/2022

Perform Steel Dwass test.

Min.Version: 2018b (9.55) Updated on: 10/28/2022

Use a small number of latent variables to explain variability among many observed variables.

Min.Version: 2018b (9.55) Updated on: 10/28/2022

Run redundancy analysis on explanatory data ( x matrix) and response data (y matrix).

Min.Version: 2019b (9.65) Updated on: 8/3/2022

Add confidence ellipse to 2D scatter plot

Min.Version: 2016 (9.3) Updated on: 6/15/2022

Calculate Hurst exponent with rescaled range analysis.

Min.Version: 2021 (9.8) Updated on: 6/15/2022

Perform detrended correspondence analysis.

Min.Version: 2022b (9.95) Updated on: 6/8/2022

Analyze radiometric geochronological data.

Min.Version: 2020b (9.75) Updated on: 3/21/2022

Display the correlation coefficient matrix including its P-value in a graph.

Min.Version: 2022 (9.9) Updated on: 11/17/2021

Filter surface profile and calculate surface roughness parameters.

Min.Version: 2022 (9.9) Updated on: 11/17/2021

Perform advanced time series analysis including stationarity test, Granger causality test and prewhitening etc.

Min.Version: 2022 (9.9) Updated on: 11/17/2021

Perform one-way Welch's ANOVA.

Min.Version: 2022 (9.9) Updated on: 11/17/2021

Calculate kernel density estimations and overlapped area from empirical data.

Min.Version: 2021b (9.85) Updated on: 11/14/2021

Perform ANOVA from N, mean and SD.

Min.Version: 2021b (9.85) Updated on: 11/11/2021

Perform multivariate analysis of variance.

Min.Version: 2021b (9.85) Updated on: 10/28/2021

Analyze spike trains including peristimulus time histogram analysis and interspike interval histogram analysis.

Min.Version: 2021b (9.85) Updated on: 6/21/2021

Perform one-dimensional Statistical Parametric Mapping.

Min.Version: 2016 (9.3) Updated on: 4/21/2021

Compare datasets using a linear model, or compare intercept and slope.

Min.Version: 2021 (9.8) Updated on: 4/6/2021

Perform bayesian ridge regression with Python.

Min.Version: 2019 (9.6) Updated on: 12/21/2020

Test for a specific value of a fit parameter

Min.Version: 2020 (9.7) Updated on: 10/10/2020

Create plots with significant differences for pairwise comparison

Min.Version: 2020b (9.75) Updated on: 8/27/2020

Perform non-metric multidimensional scaling.

Min.Version: 2020b (9.75) Updated on: 4/27/2020

Calculate correlation between two multidimensional variables.

Min.Version: 2020b (9.75) Updated on: 4/27/2020

Linear regression with marginal distribution

Min.Version: 2019b (9.65) Updated on: 4/20/2020

Create 3D stacked histograms with distribution curves.

Min.Version: 2017 (9.4) Updated on: 10/21/2019

Perform principal component analysis on spectroscopy data.

Min.Version: 2018 (9.5) Updated on: 8/2/2019

View and manage a list of operations (analyses, etc) in the current project.