By Data Evaluation Systems
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DataAnalysis is a general purpose iPad App for the plotting and fitting of all types of data that can be formulated as x, y pairs. The program can be used easily by both students and professionals. It is particularly useful for quick analyses of various types of data by curve fitting, value prediction via a standard curve, and analysis of kinetic data including enzyme kinetics.
Data can be entered directly via the keyboard or imported from the Mail App as a text file (.txt), and a comma separated value file (.csv). In addition, data can be pasted from other Apps and imported via drag and drop from within iTunes. Data files in txt, csv and native formats can be imported directly from Dropbox.
After data entry the user has the option to average, baseline correct, and/or normalize the data before plotting and fitting.
Plotting of the data is as simple as pressing the Plot button. The axes are autoscaled and the graph is immediately ready to add to a document or presentation. The user has a variety of options to customize the graph by altering the axes, axes labels, graph title, and changing the symbol, its size and color.
By using touch and drag the user can create a selection box. Upon selection of the data subset, the user has two options. (1) To zoom in on the selected data. Any fitting done in this mode is global (e.g. uses all the data). (2) To zoom and perform a fitting only on the selected subset of the data
The data can be fit to a variety of mathematical equations by non-linear regression including simple functions such as linear, 2nd and 3th order polynomials, power, exponential, and log functions.
Data can also be fit to more complex equations for such processes as radioactive decay, enzyme kinetics, 1st and 2nd order chemical reactions, as well as gaussian, logistics and surge functions. The fit can be overlaid on the data with different line widths, types and thicknesses.
For many analytical situations, the data fit can be used as a standard curve to determine the value of unknowns. This analytical procedure is completely automated within DataAnalysis.
The program output, graphics and text, can be copied, emailed, or uploaded to Dropbox in a variety of formats including PDF, PNG and TXT. The graphics in PDF format can be edited with programs like Adobe Illustrator™ and AutoDesk Graphic™ as objects.
DataAnalysis also supports multitasking and printing of input data as well as all forms of output.
DataAnalysis has built in tool tips, a comprehensive web based User Guide and how-to videos all available via the Help Menu.
What's New in Version 3.4.2
Version 3.4 of the DataAnalysis App has an important new feature, locally weighted scatterplot smoothing. In addition to the various options to fit data to specific mathematical functions, this version of DataAnalysis has added the ability to fit data without the need to specify a mathematical function, by using Lowess Regression (LOcal Weighted regrESSion). Not only does Lowess Regression not require a mathematical function, but also does not require parameters (non-parametric). This fitting method is especially useful for data that does not conform to a specific mathematical model or the mathematical model is unknown. Lowess Regression and related fitting methods are used extensively to fit everything from election polling to astrophysics data, where the data have a large degree of scatter. For more details see the DataAnalysis online User Guide (http://www.scidatadataanalysis.com/DGsite/ug_lowessRegression.html). In addition, a number of bugs have been fixed including the ability to upload data and results to Dropbox.