Min.Version: 2024 (10.1) Updated on: 6/26/2024

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: 6/26/2024

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: 6/26/2024

Detect single and multiple change points within data.

Min.Version: 2022b (9.95) Updated on: 6/26/2024

Analyze radiometric geochronological data.

Min.Version: 2020 (9.7) Updated on: 6/26/2024

Fit data with neural network.

Min.Version: 2021 (9.8) Updated on: 6/26/2024

Perform detrended correspondence analysis.

Min.Version: 2019 (9.6) Updated on: 6/26/2024

Separate mixed signals into sub-components.

Min.Version: 2024b (10.15) Updated on: 6/21/2024

Tools to analyze and forecast data recorded at consistent intervals over a period of time.

Min.Version: 2017 (9.4) Updated on: 6/19/2024

Perform multi-peak fitting and integration of cyclic data.

Min.Version: 2024b (10.15) Updated on: 6/19/2024

Perform time-temperature superposition analysis using Python.

Min.Version: 2024b (10.15) Updated on: 6/14/2024

Calculate tolerance intervals for data from normal or non-normal distribution.

Min.Version: 2024b (10.15) Updated on: 6/7/2024

It is used to assess if appraisers are consistent with themselves, with each other, and with the known standards.

Min.Version: 2016 (9.3) Updated on: 5/29/2024

Follow the crystallization kinetics using the Avrami and Lauritzen and Hoffman Theory. Just feed the App with your experimental data and some theoretical parameters, and then the App will do the rest.

Min.Version: 2024 (10.1) Updated on: 5/15/2024

Using repeatability and reproducibility analysis to measure the measurement error in measurement systems.

Min.Version: 2024b (10.15) Updated on: 5/15/2024

Calculate signal to noise ratio.

Min.Version: 2024b (10.15) Updated on: 5/15/2024

Extract the maximum time-frequency ridge from the time-frequency spectrogram.

Min.Version: 2021 (9.8) Updated on: 4/23/2024

Support vector machine for classification.

Min.Version: 2019 (9.6) Updated on: 4/12/2024

Offer an intuitive and interactive interface to perform peak analysis.

Min.Version: 2024 (10.1) Updated on: 4/10/2024

Perform poisson regression with Python.

Min.Version: 2023b (10.05) Updated on: 4/10/2024

Perform bayesian ridge regression with Python.

Min.Version: 2020 (9.7) Updated on: 3/20/2024

Explore video and related measurement data.

Min.Version: 2017 (9.4) Updated on: 3/18/2024

Generate convex hull for 2D scatter data

Min.Version: 2018b (9.55) Updated on: 2/23/2024

Mask or change the data covered by rectangle, ellipse or free hand drawn shape in contour plot.

Min.Version: 2021b (9.85) Updated on: 2/5/2024

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

Min.Version: 2022 (9.9) Updated on: 2/5/2024

Perform structural equation modeling optimization.

Min.Version: 2024 (10.1) Updated on: 1/11/2024

This app can help neuroscientists to convert the 3d NIfTI file into sections.

Min.Version: 2024 (10.1) Updated on: 1/11/2024

Estimate power spectral density using periodogram and Welch methods.

Min.Version: 2024 (10.1) Updated on: 1/11/2024

Fit a generalized linear model with spline functions of predictor variables.

Min.Version: 2024 (10.1) Updated on: 1/11/2024

Calculate the correlation matrix between the columns of x matrix and the columns of y matrix.

Min.Version: 2016 (9.3) Updated on: 1/11/2024

EMG and related signals analysis.

Min.Version: 2019 (9.6) Updated on: 1/11/2024

Set of 11 tools designed for analysis of pClamp data

Min.Version: 2020 (9.7) Updated on: 1/11/2024

Set of 8 tools designed for advanced analysis of pClamp data.

Min.Version: 2020b (9.75) Updated on: 1/10/2024

Nuclear magnetic resonance data processing in Origin.

Min.Version: 2018b (9.55) Updated on: 1/9/2024

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

Min.Version: 2020b (9.75) Updated on: 1/9/2024

Calculate correlation between two multidimensional variables.

Min.Version: 2023b (10.05) Updated on: 1/9/2024

Fit a generalized linear model with fixed effects and random effects.

Min.Version: 2020b (9.75) Updated on: 1/9/2024

Fit a linear model with fixed effects and random effects.

Min.Version: 2022b (9.95) Updated on: 1/9/2024

Perform neural network fitting using Python.

Min.Version: 2022b (9.95) Updated on: 1/9/2024

Zoom FFT, analyze a portion of a spectrum at high resolution.

Min.Version: 2022b (9.95) Updated on: 1/9/2024

Perform batch fitting fast

Min.Version: 2018b (9.55) Updated on: 1/9/2024

Batch processing with multiple Origin instances.

Min.Version: 2023b (10.05) Updated on: 1/9/2024

Find sparse principal components for optimally reconstructing data.

Min.Version: 2020 (9.7) Updated on: 1/9/2024

Perform 2d peak fitting and integration for each peak.

Min.Version: 2021b (9.85) Updated on: 1/9/2024

Perform empirical mode decomposition

Min.Version: 2022b (9.95) Updated on: 1/9/2024

Perform analysis on NetCDF data.

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: 2018 (9.5) Updated on: 11/13/2023

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

Min.Version: 2023b (10.05) Updated on: 9/11/2023

Analyze images of brain, define multiple ROIs for each desired image in the collection, and then extract stats.

Min.Version: 2018b (9.55) Updated on: 7/18/2023

Perform integration on the pulse data to calculate the area of pulses.