The HDF5 format also allows for embedding of metadata making it self-describing. The HDF5 format can be thought of as a file system contained and described within one single file. Think about the files and folders stored on your computer. You might have a data directory with some temperature data for multiple field sites. These temperature data are collected every minute and summarized on an hourly, daily and weekly basis.
Within one HDF5 file, you can store a similar set of data organized in the same way that you might organize files and folders on your computer. This image shows peak fitting being performed using the Quick Fit gadget. Two statistics gadgets are applied to this graph to report statistics in two regions of interest ROI. The Y axis is moved to separate the two regions. Yellow ROI boxes are hidden so that they do not show in printouts.
The "S" button on upper-right corner re-displays the ROI boxes when clicked. Use the Quick Peak Gadget to interactively perform peak finding, baseline subtraction, and peak integration of data from a graph. The Quick Fit Gadget lets you perform linear, polynomial, or nonlinear curve fitting on data plots in a graph. Notice the label on top of the ROI displaying the slope and Pearson's r from a linear fit.
The label updates dynamically as the ROI is moved or resized. The ROI can be rectangular, elliptical, polygon or arbitrary hand-draw shape. The tool provides statistics on data inside and outside the ROI, and also lets you copy, clear, mask or delete selected data. Origin provides various tools for linear, polynomial and nonlinear curve and surface fitting.
Fitting routines use state-of-the-art algorithms. The sections below provide a summary of key features. Graph displaying result of linear regression. Graph displaying result of polynomial regression. Origin supports Global Fitting with Parameter Sharing , where you can simultaneously fit multiple datasets with the same function and optionally share one or more fitting parameters across all datasets. The report sheet will provide a summary table with all parameter values and errors, and a single set of fit statistics from the global fit.
OriginPro supports fitting with implicit functions using the Orthogonal Distance Regression algorithm which minimizes the orthogonal distance from data to the fit curve. Errors and weighting for both X and Y data are supported.
Implicit functions can have two or more variables. Result of an Apparent Linear Fit on data plotted with logarithmic Y axis scale. The latter supports weights for both X and Y data. Select from over 12 weighting methods including instrumental, statistical, direct, arbitrary dataset, and variance.
When working with replicate data, Origin can perform a Concatenated Fit where the replicates are combined internally to a single dataset. The graph included in the report sheet can either represent the data in replicate form, or as mean values with SD or SE error bars.
A Quick Sigmoidal Fit Gadget is also available. The Rank Models tool in OriginPro can fit and rank multiple functions to a dataset. Use OriginPro to perform nonlinear surface fitting of data organized in XYZ worksheet columns , a matrix , or a virtual matrix. Select from over 20 surface functions or create your own function. For peak functions, find peaks using local maximum, partial derivative, or contour consolidation. The raw data is plotted as a color-filled contour plot, and the fit results are plotted as contour lines.
Do you need to fit an implicit function to your data? Implicit Fitting uses the Orthogonal Distance Regression algorithm to find optimal values for the fit parameters. Errors or weights are supported for both X and Y data. Origin provides several features for peak analysis, from baseline correction to peak finding, peak integration, peak deconvolution and fitting.
The following sections list the key features for peak analysis. This is a preview graph for performing peak integration using the Peak Analyzer tool. The integration range can be applied for all peaks, or modified individually and interactively for each peak. Once you have performed baseline detection and peak finding, Origin provides several options for peak fitting: Select from over 25 built-in peak functions, or create your own peak function Fit all peaks with same function form, or assign different functions to specific peaks Peak deconvolution to resolve overlapping or hidden peaks Fix peak centers or allow them to vary by a set percentage or within a set range of values Specify bounds and constraints on peak parameters Share parameters across peaks Full control of fitting process including step-by-step iterations Detailed report including fit statistics, residuals, and graph of individual and cumulative fit lines Over 25 peak properties for reporting, including peak area by percentage, variance, skewness and peak excess Fit summary graph with customizable peak properties table.
There are several options for batch peak analysis of multiple datasets in Origin: Use integration and peak gadgets to analyze multiple curves in a graph within or across layers Use a predefined peak analysis theme to analyze multiple datasets or files Output a custom report table with peak parameters from each dataset or file. The Quick Peaks Gadget provides a quick and interactive way to perform peak analysis from a graph, using a region of interest ROI control.
Batch operations such as integration of multiple curves over a desired range are also possible from this gadget. The Peak Analyzer tool in Origin supports baseline detection, peak picking, and peak integration. In OriginPro, this tool also supports fitting multiple peaks.
Peak detection methods include 2nd derivative search to detect overlapping or hidden peaks. The interface guides you step-by-step, allowing you to customize settings at each stage, and then save the settings as a theme for repeat use on similar data. In addition, Origin provides Stats Advisor App which helps user to interactively choose the appropriate statistical test, analysis tool or App.
The Stats Advisor App asks a series of questions and then suggests the appropriate tool or App to analyze your data. The graph shows a Custom Report of numerical and graphical results from multiple statistical tools, created from Origin's flexible worksheet. Once created, such reports can be automatically generated, greatly simplifying your statistical analysis tasks. The image shows two of the embedded graphs opened for further editing. Edit an embedded graph by double-clicking on the thumbnail image in the report.
Once customizations are made, put the graphs back into the report and see your modifications. Dendrogram of spectra classification from Hierarchical Cluster Analysis of spectra.
This plot can be used to classify observations across groups. This graph displays survival functions with confidence intervals, created by the Survival Analysis tool in OriginPro.
The tool also performs a log-rank test to compare the two survival functions. A preview panel is provided to enable real-time visualization of specified parameters and corresponding results. OriginPro provides several wavelet transform tools. From simple column calculations to interpolation, calculus and integration, Origin provides a wide range of tools for mathematical analysis of worksheet and matrix data.
Use the Normalize tool to normalize data in a worksheet or a graph. The F x Column Formula row in Origin worksheet lets you directly type expressions to calculate column values based on data in other columns and metadata elements. The expression can be further edited in the Set Values dialog which provides a lower panel to execute Before Formula scripts for pre-processing data.
The Set Values dialog also provides a search button to quickly find and insert functions from over built-in functions. User-defined functions can also be added for custom transforms.
Auto complete helps to quickly find and enter functions as well as name ranges to complete your formula. Use Origin's Interpolation Gadget to perform interpolation and extrapolation on one or more data plots in a graph. You can interactively select the data range using a region-of-interest ROI control. Interpolation methods include linear, spline and Akima spline.
Use the Integrate Gadget to perform integration of data curves in a graph. A region-of-interest ROI control is provided to interactively select the desired data range. Baseline methods include selecting an existing data plot as a baseline to determine the area between two curves, as displayed in this graph. Batch integration of multiple curves is also supported. Origin provides multiple powerful data manipulation tools which can be used for pre-analysis data processing.
The pre-analysis data processing can be carried out right after importing data into Origin, and help to get the data into a desired form for analysis in a quick and intuitive way. Origin provides several tools for reorganizing your data, such as stacking and unstacking columns, and splitting or appending worksheets. With the Stack Columns tool displayed here, you can specify a row label such as Long Name or Comments to act as group identifier. Mar 8, Mar 23, Nov 9, Apr 1, Update gitignore.
Oct 31, Merge branch 'online'. Dec 22, Allows rasterization of points when plotting. Sep 30, Oct 30, Set theme jekyll-theme-minimal. Oct 19, R, enables appveyor, and update Version to 1. Mar 9, External utilities are packaged in the binary distributions for all versions of GrADS with exceptions as noted :. The MS windows versions are packaged with an install script. For the UNIX versions, you must uncompress and unpack the tar file after you've downloaded it:.
If you do not have write permission for this directory, you can put them in a subdirectory of your home directory e. The font and map files are supplementary data sets that are required in order to run GrADS. In this tutorial, we will explore two different types of data saved in HDF5. This will allow us to better understand how one file can store multiple different types of data, in different ways. The first thing that we will do is open an HDF5 file in the viewer to get a better idea of how HDF5 files can be structured.
To begin, open the HDFView application. Open this file in HDFView. This will be located in the bottom window of the application.
Next, explore the structure of this file. Within each domain group, there are site groups NEON sites that are located within those domains. Expand these folders by double clicking on the folder icons. Double clicking expands the groups content just as you might expand a folder in Windows explorer.
What data are contained within these groups?
0コメント