Read data and Analyse, Save results expressed.

A data file format is the CSV file or the Excel file producted by Microsoft Corp. Previously, the file format should be selected in the Preference dialog box.
Case of an Excel file which could be used DDE only. ODBC was made not to be used for the current version. Besides DDE is not so good as usability, a CSV file is suggested to use as the data file.
It's easy to exclude variables due to select names of variables. It's also easy to bring back.

In Preference (Option/Preference), string lengths which are digits both variables and samples and graph expression could be set up.
String lengthes are set due to number of charactors, which would apply to expressions of name and numeral both of variables and samples. The decimal points would be optimized automatically. Of course it does not effect to accuracy of calculation but express only. However, significant values are not limited.
A graph could be set to express or not. In case of expression, scatter numbering and variables vector sizing could be set on the mappings of Principal Component and Principal Factor, Maximum Likelihood.

It has two screens as upper and lower. An upper screen is expressed contents of data file, a lower screen is expressed results of analysis. Contents of expression could be saved due to menu "File / lower Screen / Save As", and could be edited on the screens.
It's recommended to save as a CSV file, cause the output format is adjusted to express on a spread sheet except partial exception.

I feel it's not much to explain. It's easy to use the software with enough knowledge about the models.



It has five sorts and twenty-four analysis models, and enough methods and options, as follows.

Type		Model	Method, Option
Common Analysis		Fundamental Statistics	Covariance Matrix, Correlation Coefficients Matrix, Speaman's Ranking Coefficients, Kendall's Ranking Coefficients
		Multiple Regression Analysis	All Selection, Step Wise(Forward Regression, Forward Selection, Backward Regression, Backward Selection) due to AIC/F-Value, Effective Coverage
		Principal Component Analysis	Component Number, Minimum Eigen Value, Correlation Base Matrix, Covariance Base Matrix
		Canonical Correlation Analysis
		Principal Factor Analysis	Factor Number, Standardize, SMC, Repetition, Rotation(Oblique/Orthogonal) due to Criterion(Covarimin/Biquartimin/Quartimin, Varimax/Biquartimax/Quartimax)
		Maximum Likelihood Analysis	Factor Number, Standardize, SMC, Repetition, Rotation(Oblique/Orthogonal) due to Criterion(Covarimin/Biquartimin/Quartimin, Varimax/Biquartimax/Quartimax)
		Discriminant Analysis	Tset Box M, alpha for Canon, F-in Forward Selection, F-in Value, F-in Probability
		Cluster Analysis	Division(Sample/Variable), Distance(Mahalanobis/standardized/RawData), Criterion(Nearest Neighbor/Furtherest Neighbor/Median Method/Group Average/Centroid Method/Ward's Method)
Quantification Analysis		Association Measures Analysis	Data Scale(Order Scale/Nominal Scale)
		Quantification-1 Analysis
		Quantification-2 Analysis
		Quantification-3 Analysis	Source Data Type(Variable/Cross), Expected Factor Number
		Three-Way Log linear Analysis	Source Data Type(Variable/Cross), 1st and 2nd Model test u-term effect, Number of Category A, B, C
Similarity Data Analysis		Quantification-4 Analysis
		Principal Co-ordinates Analysis	Number of Dimention
Non-Linear Analysis		Multiple Logistic Model	Divisional Value, Maximum Iteration
		Exponential Weibull Model	Divisional Value, Maximum Iteration
		Propotional Hazard Model	Divisional Value, Maximum Iteration
Non-Linear Regression Analysis		Convert Degrees of Polynomial Terms	Degrees, All Selection, Step Wise(Forward Regression, Forward Selection, Backward Regression, Backward Selection) due to AIC/F-Value, Effective Coverage
		Involution Curve Regression Model	All Selection, Step Wise(Forward Regression, Forward Selection, Backward Regression, Backward Selection) due to AIC/F-Value, Effective Coverage
		Exponential Curve Regression Model	All Selection, Step Wise(Forward Regression, Forward Selection, Backward Regression, Backward Selection) due to AIC/F-Value, Effective Coverage
		Inverse Curve Regression Model	All Selection, Step Wise(Forward Regression, Forward Selection, Backward Regression, Backward Selection) due to AIC/F-Value, Effective Coverage
		Logistic Curve 1 Regression Model	All Selection, Step Wise(Forward Regression, Forward Selection, Backward Regression, Backward Selection) due to AIC/F-Value, Effective Coverage
		Logistic Curve 2 Regression Model	All Selection, Step Wise(Forward Regression, Forward Selection, Backward Regression, Backward Selection) due to AIC/F-Value, Effective Coverage

There are sample data files formated CSV in a folder named "sample" under the install folder.

Those sample data files prepared are appropriated to analysis models. It could be found what sort data due to filename which is abbriviated though. Only few sample data files are prepared for some analysis models which handle same data format. Please select a proper data file for each model



Data/Open File

As previously stated, a data file format would be selected as a CSV file or an Excel file in Preference dialog box.

In case of a CSV file, the data could be read due to just open the file.

In case of an Excel file, the file should be already opened by Microsoft Excel. After that, the data could be read due to open the file by the software.
It doesn't a matter to close Microsoft Excel after the data read.

A data will be expressed in the upper screen due to open a file.

If you do open another data file you should close the data file already opened. Screens would be cleared due to close the data file.



Data/Exclude

Certain variables could be excluded for analysis from the data already read due to select variables names. It's also easy to bring back the variables due to unselect in the same dialog box.

Please use this function for cases of errors as singular matrix or eigen not convergent and so on.

Option/Preference/Data File

Selects a data file format to open a CSV file or an Excel file.

In case of an Excel file, it uses DDE only. ODBC could not be used for current version.
Before opening the Excel file, the file should be opened by Microsoft Excel. After reading the data it doesn't a matter to close Microsoft Excel.



Option/Preference/String Length

Specifies string lengthes both variables and samples for expression in screens.

This length would be applied to not only names but also numerals.
In case for numerals, the length will be their digits. Their decimal places would be optimized automatically.
Of course that never effect the accuracy of calculation. Insistently for expression in screen only.

Always excepting significant values.



Option/Preference/Graph

Set graph to express or not.

In case of expression the graph, scatter numbering and variables vector sizing could be set on mappings of Principal Component and Principal Factor, Maximum Likelihood.

File/upperScreen/, File/lowerScreen/

Express in screens both upper and lower due to Rich Text Format.
It's able to exchange font and set up page, edit, save and so on, just like a simple editor.

Output results are made to be legible due to same width fonts.



File/lowerScreen/Save As

Although in case of save the results, the software tries to save as Rich Text Format which extention is ".rtf" at first, it's better to save as CSV which extention is ".csv".

A form of output results is supposed to be treated by a spread sheet.
In the time, I will fix it to be ".csv" as default.



Analysis/Predict

As for some models, the menu "Predict" would be enabled after analysing.

Results of prediction will be output and be added to bottom line of lower screen. It's able to be saved as results combined.

As a matter it's better to calculate on a spread sheet after saving results at once in case of lots of predictions.