DataAnalysisLite vs Number Analytics

DataAnalysisLite is the iPhone version of the DataAnalysis iPad App. DataAnalysisLite is a general purpose 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, or other Apps as a text file (.txt), or a comma separated value file (.csv). Data files in txt, csv and native formats can be directly exported/imported to/from Dropbox and Google Drive. 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 symbols and colors. 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 and exponential functions. Data can also be fit to more complex equations for such processes as radioactive decay, enzyme kinetics, as well as 1st and 2nd order chemical reactions. The fit can be overlaid on the data with different line widths, line types, colors and thicknesses. Lowess Regression (LOcal Weighted regrESSion) can also be used to fit data without the need to specify a mathematical function. Not only does Lowess Regression not require a mathematical function, but also does not require parameters (non-parametric). This fitting method is used extensively to fit everything from election polling to astrophysics data, where the data have a large degree of scatter. 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 DataAnalysisLite. The program output, graphics and text, can be copied, emailed, or uploaded to a variety of Apps including Dropbox, Google Drive, Evernote and the Files App in a variety of formats. The graphics in PDF format can be edited with programs like Adobe Illustrator™ and AutoDesk Graphic™ as objects. DataAnalysisLite also supports multitasking and printing of input data as well as all forms of output. An in App HELP system is available that integrates with the DataAnalysisLite User Guide (http://www.scidataanalysis.com/iPhone/user_guide.html).

Number Analytics is a statistical software for advanced statistical tests, regression analysis, text analysis, and survival analysis. It supports multiple data formats like SPSS, Minitab, Excel, CSV, STATA and SAS. The software provides powerful graphs and tables for mean difference tests (T-test, ANOVA), linear regression, logistic regression, K-means clustering, and survival analysis (Kaplan-meier plot). Text cloud visualization enables you to analyze unstructured customer feedback text data in seconds. Easily analyze your data anytime, anywhere with smartphones and tablets. Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Statistical analysis is critical to improving business, society, and how we live. Market research for new product development, social science research at universities, and medical research at hospitals are all looking for statistically significant data patterns based on actual, experimental, or survey data. Number Analytics is designed for users who are not good at coding and statistics, but need to easily analyze various types of data for their research on their mobile devices. In the past, analyzing data meant spending hours preparing data, summarizing summary statistics, performing numerous statistical analyses based on hypotheses, and finding statistically significant relationships between variables. Especially for beginners, selecting the right statistical models and interpreting the results are the pain points and require considerable time and effort. Now it can be done with clicks and automation that can speed up the process at least 10 times. With Number Analyzer, the computer will automatically apply these statistical models and explain the statistical results in plain English. Because the computer knows which statistical models to use, you can run more than 100 statistical analyses at once. The statistical results, such as linear regression and ANOVA, show not only statistical test results, but also graphs with confidence intervals and marginal effects, and tables coded with statistical differences between subgroups. To upload your own data, first download or move your data to iCloud storage. Then click the Upload button in the Data section. You can easily upload and use the data. Various data formats are supported including labelled survey data (SPSS). Supported data file formats - SPSS, Excel, CSV, Minitab, STATA, SAS Currently the upload file size is limited to 2Mb. Descriptive statistics -Summary Statistics -Frequency Table -Crosstab (Chi-sq. Test) -Pivot table -Correlation -Text analysis Mean Difference test -One Sample T-test -Paired Sample T-test -Independent Samples T-test -ANOVA (Analysis of Variance) test Regression Analysis - Linear Regression - Fixed Effect Regression - Logistic Regression Clustering Analysis - K-Means Clustering Survival Analysis -Kaplan Meier plot