Skip to end of metadata
Go to start of metadata
You are viewing an old version of this page. View the current version.
Compare with Current
View Page History
« Previous
Version 15
Next »
Graph Types
ID | JIRA | Summary | Details |
---|
1561 | APPS-890 | Correlation Plot | |
| APPS-812 | 3D Antenna Radiation Pattern | Download 3D Antenna Radiation Pattern app from the page and install the app. This propose of 3D Antenna Radiation Pattern app is to help user to plot 3D antenna radiation pattern from a virtual matrix. In addition, this app can also help user to prepare virtual matrix from the raw data.
|
| APPS-784 | X-Ray Diffraction Analysis | Download X-Ray Diffraction Analysis app from the page and install the app. This app can help to do simple X-Ray diffraction analysis in Origin. Activate the graph with a diffraction pattern of material, and select the desired reference patterns and the color assignments, click OK button to add it to the graph.
|
| APPS-884 | Zoomed Inset Plus | Download Zoomed Inset Plus app from the page and install the app. This app is can add a rectangle to 2D Cartesian graph with Cartesian coordinate system (line, scatter, and line+symbol plot), so for zooming in the part of plot covered by this rectangle, which is put into an inset layer.
|
Data Handling
Analysis
Fitting
ID | JIRA | Summary | Details |
---|
| APPS-810 | Linear Regression with Marginal Distribution | Download Linear Regression with Marginal Distribution app from the page and install the app. Linear Regression with Marginal Distribution app can create a report of linear regression, including a graph with marginal distribution.
|
| APPS-841 | Standard Curve Analysis | Download Standard Curve Analysis app from the page and install the app. This app fits a standard curve like Concentration vs Absorbance. Such a curve can be used to determine concentrations in "unknown" samples with their measured absorbance. This method is commonly used to analyze RIA or ELISA Data.
|
| APPS-795 | Linear Mixed Effects Model | Download Linear Mixed Effects Model app from the page and install the app. Linear Mixed Effects Model App fits a linear mixed effects model for data collected in groups. A mixed effects model consists of fixed effects and random effects. Fixed effects are conventional linear regression. Random effects have linear coefficients that vary with respect to one or more grouping variables.
|
| APPS-836 | Fit Adsorption Isotherm | Download Fit Adsorption Isotherm app from the page and install the app. This App provides a convenient way to transform your raw data related to adsorption isotherm into a linear dataset with various types of the model provided, and perform linear fitting with the new dataset.
|
Peak Analysis
Statistics
ID | JIRA | Summary | Details |
---|
| APPS-714 | Canonical Correlation Analysis | Download Canonical Correlation Analysis app from the page and install the app. Canonical Correlation Analysis app is used to measure the correlation between two multidimensional variables. It transforms them into two combinations of canonical variates by finding a set of linear coefficients. The coefficients are chosen so that they maximize the correlation between the two combinations of canonical variates. The number of canonical variates equals the smaller dimension of the two source variables.
|
| APPS-822 | Nonmetric Multidimensional Scaling | Download Nonmetric Multidimensional Scaling app from the page and install the app. Non-metric multidimensional scaling (nMDS) is used to transform multidimensional data into lower dimensional representation. Bray-Curtis matrix is used as dissimilarity matrix.
|
Signal Processing
ID | JIRA | Summary | Details |
---|
| APPS-860 | Modified Short-Time Fourier Transform | Download Modified Short-Time Fourier Transform app from the page and install the app. This app can be used to perform short-time Fourier transform with the window size fixed in the frequency domain, that is to use the concept of the short-time Fourier transform, but fix the window size in the frequency domain instead of in the time domain.
|
| | | |