Fixed bug related to migration to Version 4 data file format from all previous versions.

Fixed issue related to using European number formatting as well as a number of minor bug fixes.

Version 4.0 of the DataAnalysis is a major update of the App incorporating may of the latest iPad OS features. DataAnalysis now uses the iPad OS Document Browser as the major interface for the user to interaction with existing data files in native, CSV or TXT format. The Document Browser provides options to share, duplicate, rename, move, delete, create subfolders and create new documents. Furthermore, the user can access files stored on iCloud or other cloud storage locations such as Dropbox, Box and OneDrive. DataAnalysis now can perform error analysis in a number of ways. For example, if you have a series of X,Y pairs, in which groups have the same X value, then the DataAnalysis can average each group and calculate standard deviations. These standard deviations can be used to draw error bars on the graph. Other modes to add error bars are also available. The standard curve analysis has been rewritten to simplify use. Output of data in a variety of formats is now much easier by incorporating the iPadOS Share Sheet. You can use the Share Sheet to share, save or print the raw data in CSV or TXT files. The Share Sheet can also be used for sharing, saving or printing the graph, data analysis, or standard curve analysis. Other options are also available from the Share Sheet depending upon what other Apps are installed on the iPad. For example, if the Apps for cloud storage providers such as Box, Dropbox, OneDrive, etc are installed, the Share Sheet can be used to save the raw data, graphs and results to these locations. Data entry into the spreadsheet can now be done using the Apple Pencil. New Getting Started and Error Analysis tutorials also have been added.

Version 3.5.2 of the DataAnalysis App has a number of important improvements and bug fixes. This version has been compiled with the latest development software (Version 13.3). The DataAnalysis App will now work correctly on all sizes of iPads from the Mini to the Pro 11 and 12.9 sizes. DataAnalysis native format data files are now compatible with the new iPhone version (DataAnalysisLite).

Version 3.4.5 of the DataAnalysis App has a number of important bug fixes. In addition, DataAnalysis native format data files are now compatible with the new iPhone version call DataAnalysisLite.

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 related to the ability to email data and results as well as save the graph to Photos. Finally, this version of DataAnalysis has been updated with new Dropbox features (API V2).

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.

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 related to the ability to email data and results.

Version 3.4.0 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 related to the ability to email data and results.

This is a minor upgrade with one new feature and bug fixes. We have added two new symbols, + and x, which can be used in the graphs. In addition, we have also corrected problems with entry of data into the spreadsheet.

Version 3.2.0 of the DataAnalysis App has one major new feature and a number of minor bug fixes. The much requested new feature is the ability to select and work with a subset of the data. 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. For more details see the DataAnalysis online User Guide (http://www.scidataanalysis.com/DGsite/ug_zoom_graph.html)

Version 3.1.1 includes the ability to paste x, y data into DataAnalysis via the iOS clipboard. Thus, data from any iPad App can now be easily entered into DataAnalysis. In addition, a number of small changes have been made to eliminate bugs introduced between Versions 2.9.1 and 3.0.0, including better integration of the HELP system with the DataAnalysis online User Guide (www.scidataanalysis.com/user_guide.html).

This is an important upgrade to the DataAnalysis App as data entry has been completely rewritten. Data entry is now via a spreadsheet rather than a traditional data pad. This change will allow the incorporation of many new features in future updates. Support for DropBox, printing and email of data and results has also been much improved. Graphics output in pdf format can now be editing in programs such as Adobe Illustrator® and AutoDesk Graphic®.

DropBox support updated for iOS9. Issues with large data files fixed. A number of minor issues have also been repaired.

Critical updates have been introduced to provide compatibility with iOS9. App is now linked to the new User Guide, also available directly on the DataAnalysis Website (www.scidataanalysis.com/userguide). A number issues involving the export and import of files and printing data, graphs and results have been resolved.

Fixed bug that caused the lower button bar on Data Entry page to disappear on last version.

This version has bug fixes related to the Help System, and the Graph Options Popover not allowing axis labels and a graph title to be entered.

A variety of bug fixes. The most important are: (1) the keyboard now does not cover the filename text field in iOS8, (2) when data is entered without a filename and the user immediately returns to the Files page, the data is automatically saved in an "Untitled" file, and (3) a variety of minor bug fixes.

This is the first major upgrade of DataAnalysis. This version is also completely redesigned to take advantage of the new features in iOS 7 (if available). DataAnalysis remains compatible with all iPads with iOS 5.1.1 and above. New Feature List: 64 bit support on iPads with the A7 processor. Data fitting on large data tests is improved because the Apple LLVM compiler has been optimized to take full advantage of the 64 bit A7 processor. Tool tips are available from the HELP menu item on each page. In addition, a direct link to the extensive HELP system on the DataAnalysis website is provided via a button on each page that is accessed from Tool tips. Files can now be deleted directly from the startup page. Simply press the EDIT button, select one or more files to be deleted then press the Trash can. If you decide not to delete the files simply press the DONE button. Tool tips are also available on the EDIT page. DataAnalysis can now handle hundreds of files with each having up to 2000 points. A sample data file is now included with a 2000 point data set. Additional keys are available on the keyboard to make data entry easier, including cursor left and right, tab and enter exponent. Manual scaling of the axis is now available. Simply double tap near the xmin, xmax or ymax values and type in the new value followed by return The graph title, x and y axis labels and data points are now saved. Input of axis labels and the graph title is via the Graph Options Popover from the Graphics View. Improved Dropbox support.

Fully compatible with iOS7. Surge Function added as an additional option for data analysis. Data files imported via Mail, using scientific notation, are now open correctly. Numerous other minor improvements and bug fixes.

A error in the calculation of data averages has been fixed. A few other minor bugs and also been fixed.

The logistics function has been added (y = A/(1+Be^(-kx)). A bug related to X and Y axes labels not always showing up has been fixed. Other small bugs eliminated.

A number of new features have been added in this version. To speed manual data entry additional functions have been added to the keyboard including cursor left and right, tab and enter exponent. Preferences for setting of the default X and Y axis modes, points being connected by line segments and the ability to disable fitting all can be set via the DataAnalysis button from System Settings. To speed entry of parameters the return key can be used to move from one parameter input field to the next. The return key can also be used enter value(s) using the Standard Curve Analysis.

The version fixes a major bug with the Help System and the emailing of results caused by changes introduced with iOS 6 and above.

Numerous bug fixes and new features have been added in this version. Data values can now be entered in scientific notation. A number of bugs related to copying the graph and pasting it into other applications, such as Pages or Keynote, have been fixed. Manual scaling of the axes has been added as the key new feature. Simply double tap on the graph near the xmin, xmax, ymin or ymax values and type in the value of your choice followed by a return. The axis/axes are rescaled. Auto scaling can be reset by using the switch provided.