Data File.
iPlainstat use document based architecture in which all data, all parameters, and all statistic results stored on a single data file.
Variable Editor.
Define complex data structure with easy. iPlainstat also support categorical variable with value-label pairs.
Data Editor.
Edit data in natural, scrollable data-grid. Fast data entry, support large dataset, and handle missing value.
Output Viewer.
Easy to use output navigation and output viewer.
Statistic Editor.
Create, save, load, edit, and recalculate statistic definition along with calculation results.
Import Export.
Import data from csv file. Export data and results to csv or html file. All with simple WiFi transfer.
Basic Statistic.
- Descriptive statistic. Describe basic features of data: central tendency, dispersion, and distribution.
- Correlation analysis. Analyze linear relationship between two random variables.
- Reliability analysis. Asses consistency of a measuring instrument.
Means Comparison.
- One sample t test. Compare variable means to a known value.
- Paired t test. Compare variable means to another variable means.
- Independent t test. Compare mean scores of two groups on a single variable.
- Oneway anova. Compares the mean of one or more groups based on one independent variable.
Multivariate.
- Factor analysis. Reduce large collection of observed variables into smaller, unobserved factor that explain most of variance in the data.
- Canonical correlation. Investigate the correlation between two sets of variables.
- Linear regression. Analize the relationship between one dependent variable with several independent variables.
Nonparametric.
- Chi-square test. Determine whether observed frequencies are significantly different from expected frequencies.
- Nonparameteric correlation. Calculate correlation between two variables with ordinal or rank order scale.
- Two independent sample. Nonparametric version of independent t test.
- Paired test. Nonparametric version of paired t test.
