LSPoly
Detailed App Info:
Application Description
LSPoly is a Least Squares Polynomial Regression App, created to aid in the reduction of experimental data to polynomial representations of order [0..5]. The data and polynomial curves are presented in a color-coded graphic together with the percent root mean square error for each polynomial to aid in selecting the "best" one.
The user may enter up to 500 data points for analysis. Although the data input windows show only ten data points at a time, an auto-scaling vertical slider allows the user to examine and edit all data. The user has a choice of three keyboard layouts, including the default iPad numerical keyboard and two custom numerical keypads.
The input data and results may be saved to, and retrieved from, text files accessible through your computer's iTunes app. Screen images may be captured to your iPad's Photos app and printed to AirPrint-capable printers.
To protect against accidental data loss, LSPoly has an autosave feature which automatically backs up the input data whenever the “return” key on the keyboard is tapped or the “Calculate” button is tapped.
The user may enter up to 500 data points for analysis. Although the data input windows show only ten data points at a time, an auto-scaling vertical slider allows the user to examine and edit all data. The user has a choice of three keyboard layouts, including the default iPad numerical keyboard and two custom numerical keypads.
The input data and results may be saved to, and retrieved from, text files accessible through your computer's iTunes app. Screen images may be captured to your iPad's Photos app and printed to AirPrint-capable printers.
To protect against accidental data loss, LSPoly has an autosave feature which automatically backs up the input data whenever the “return” key on the keyboard is tapped or the “Calculate” button is tapped.
Requirements
Your mobile device must have at least 3.29 MB of space to download and install LSPoly app. LSPoly is available on iTunes for $0.99
If you have any problems with installation or in-app purchase, found bugs, questions, comments about this application, you can visit the official website of James Petty at http://PHIAeroApps.webs.com.
Copyright © James S. Petty
