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In complicated cases it may be helpful to compute the projections (dot product) of your input vectors on the first two eigenvectors so you get a sense of what's meaningful and what is noise. If you carry this analogy to your application, you might want to look at the eigenvectors and your inputs. To determine the orientation of this plane in 3D space you need to look at the first two eigenvectors of the solution. That would imply that your distribution is pretty much planar. Since I am not familiar with the details of your application let me try and use an example from physics: suppose you have a bunch of waves containing xyz distribution in space and you compute the PCA and find that 99.85 of the variation is explained by two factors. I think it is important to note that even if you determine that there are only two important factors, these may not necessarily map to your input data. If I only look at the eigenvalues, it seems that you have only two significant factors that together account for 99.8% of the variance. If anyone has some experience in doing PCA analysis in identifying which are the two main components in similar type of analysis using Igor, please leave me your thoughts. Since I'm new to PCA I have the impression this might take some time. In the meantime I've checked this excellent primer on PCA by Jonathon Shlens, and I got one the books referenced in Igor's help section: "Factor Analysis in Chemistry" by ER Malinowski (3rd edition), which I have begun reading. From what I've seen PCA is what I should be looking at. I am faced with the small task of identifying from a series of 20 parameters extracted from a series of events, which parameters are dominant in describing variation between events, and which tend to be more irrelevant.įor that I looked through the Scatter Plot Matrix Demo which was a neat overview of data correlation, but what I'm looking for is some analytical measure which I want to apply to several datasets where we've perturbed our system and do comparisons across these datasets, etc. Wide-Angle Neutron Spin Echo Spectroscopy.Igor Pro 8 requires macOS 10.10 to 10.14 ( macOS 10.15 Catalina is currently not supported), or Windows 7 or later and is available for purchase at the WaveMetrics online store.Ī demo version is available and can be installed without the need to uninstall Igor Pro 7 or 6. IFDL is a sophisticated and flexible environment for interactive design, evaluation, and application of Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) digital filters.įor more information see our comprehensive list of new features. Igor Filter Design Laboratory (IFDL), which was previously a separate paid product, is now built into Igor Pro 8.ODR fitting is now thread safe and has built-in parallelization.New built-in Voigt and dblexp_peak curve fitting functions.Added seven new dialogs for transformation operations.New Short-Time Fourier Transform (STFT) operation.New Back and Forward buttons in procedure and notebook windows allow you to quickly navigate in these window types.Procedure windows and the command line now suggest options to complete the current command.New Box Plot and Violin Plot graph types make it easy to show the distribution of values within a data set.The redesigned Procedure Browser allows you to quickly find and filter symbols (functions, macros, etc.).The new toolbar provides easier access to frequently used features.Information as described elsewhere in this Policy, any applicable terms, or at the time such information is collected. Otherwise in accordance with our agreements with you. New Window Browser shows all your windows in one place.įilter by type, name, and/or wave to find that one special graph among a sea of great data. If you purchase IGOR Pro from a WaveMetrics authorized reseller, retailer, and/or distributor, any information provided to them may in turn be shared with us.Improved speed of displaying notebooks, help windows, and procedure windows.WaveMetrics - A Division of Sutter Instrument. Log in or register to post comments Decemat 11:04 am. Technically, 'WaveMetrics, Inc.': the M is capitalized.
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Drawing speed of graph traces on High-DPI displays under some specific circumstances is dramatically improved. We describe software, written for Igor Pro (Wavemetrics, Lake Oswego, OR, USA), that allows.Greatly improved the speed of creating and looking up waves by name when there are many similarly-named waves in a data folder.Long object names, increased from 31 bytes to 256 bytes.Some highlights of Igor Pro 8 improvements include: Igor Pro 8 contains hundreds of improvements, including 20 new operations, 5 new functions, a new NetCDF XOP, and the Igor Filter Design Laboratory (a separate product in Igor 7 and earlier). WaveMetrics is pleased to announce the release of Igor Pro 8, the latest version of our scientific and engineering graphing and data analysis program for Macintosh and Windows.