{"id":12244,"date":"2023-07-25T08:16:05","date_gmt":"2023-07-25T08:16:05","guid":{"rendered":"https:\/\/grafiti.com\/%e3%82%b7%e3%82%b9%e3%82%bf%e3%83%83%e3%83%88\/%e3%82%b7%e3%82%b9%e3%82%bf%e3%83%83%e3%83%88%e8%a3%bd%e5%93%81%e3%81%ae%e3%83%90%e3%83%bc%e3%82%b8%e3%83%a7%e3%83%b3%e6%af%94%e8%bc%83\/"},"modified":"2024-01-13T07:15:22","modified_gmt":"2024-01-13T07:15:22","slug":"%e3%82%b7%e3%82%b9%e3%82%bf%e3%83%83%e3%83%88%e8%a3%bd%e5%93%81%e3%81%ae%e3%83%90%e3%83%bc%e3%82%b8%e3%83%a7%e3%83%b3%e6%af%94%e8%bc%83","status":"publish","type":"page","link":"https:\/\/grafiti.com\/ja\/%e3%82%b7%e3%82%b9%e3%82%bf%e3%83%83%e3%83%88\/%e3%82%b7%e3%82%b9%e3%82%bf%e3%83%83%e3%83%88%e8%a3%bd%e5%93%81%e3%81%ae%e3%83%90%e3%83%bc%e3%82%b8%e3%83%a7%e3%83%b3%e6%af%94%e8%bc%83\/","title":{"rendered":"\u30b7\u30b9\u30bf\u30c3\u30c8\u88fd\u54c1\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u6bd4\u8f03"},"content":{"rendered":"\t\t
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SYSTAT\u30d0\u30fc\u30b8\u30e7\u30f3\u6bd4\u8f03\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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* = Add-on module feature<\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Statistics<\/b><\/td>\nSystat Version<\/strong><\/td>\n<\/tr>\n
<\/td>\n13.2<\/strong><\/td>\n\n
12.0<\/b><\/div>\n<\/td>\n
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11.0<\/b><\/div>\n<\/td>\n
\n
10.2<\/b><\/div>\n<\/td>\n<\/tr>\n
Trimmed Mean \u2013 Row & Column<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nStandard Error<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Confidence Interval<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Windsorized Mean \u2013 Row & Column<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nStandard Error<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Confidence Interval<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Probability calculator<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Mode \u2013 Row<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nInterquartile Range<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Random sampling<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nUnivariate discrete and continuous distributions<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Multivariate distributions *<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Design of experiments<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Power analysis<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Descriptive Statistics<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nColumn<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Row<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
N-tiles, P-tiles<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Fitting distributions<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nCrosstabulation and measures of association<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
List layouts, list first n levels, display rows with zero counts<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Mode for one-way tables<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Correspondence analysis<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nSimple<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Multiple<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Loglinear models<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Nonparametric tests<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nJonckheere-Terpstra<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Fligner-Wolfe<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Dwass-Steel-Critchlow-Fligner and Conover-Inman<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Kruskal-Wallis<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Two-sample Kolmogorov-Smirnov<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Sign<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Wilcoxon signed rank<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Friedman<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Quade<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
One-sample Kolmogorov-Smirnov<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Anderson-Darling<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Wald-Wolfowitz runs<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Multinormal tests<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Hypothesis Testing<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nMean<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Variance<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Correlation<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Proportion<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Bootstrap-based p-values for all tests for mean and variance<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
One and two sample Hotelling T2 test for mean vector of multivariate data<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Correlations, distances and similarities<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Set and canonical correlations<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Cronbachs alpha<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Linear regression<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nSave standard errors, confidence intervals<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nLeast squares<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Bayesian<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Ridge<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Best subsets<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nFind the best models given the number of predictors Best model by R2, Adjusted R2, Mallow\u2019s Cp, MSE, AIC, AICc and BIC<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Polynomial<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nSingle independent variable up to order 8, Natural and orthogonal methods Goodness-of fit-statistics (R2 and adjusted R2) and ANOVA with p-values for all models down to linear Quick Graphs: Confidence and prediction interval plots along with estimates, and a plot of residuals versus predicted values<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Robust regression<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nLeast Absolute Deviation (LAD)<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
M<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Least Median of Squares (LMS)<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Least Trimmed Squares (LTS)<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Scale (S)<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Rank<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Logistic regression<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nBinary, multinomial, discrete choice and conditional through separate simplified interfaces and input data formats<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Specify the reference level for binary and multinomial response models<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Probit analysis<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Partial least squares regression<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Two stage least squares regression<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Mixed Regression<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Smooth and plot<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Nonlinear regression<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
ANOVA<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nOptions to test normality and homoscedasticity assumptions, including Levene\u2019s test based on median<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
MANOVA<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
General Linear Model<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Mixed model analysis<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Discriminant analysis<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nClassical Discriminant Analysis (Linear or quadratic)<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Robust Discriminant Analysis (Linear or quadratic)<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Cluster analysis<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nHierarchical<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
K-means<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Additive trees<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Factor analysis<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Confirmatory Factor Analysis<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nMaximum likelihood, Generalized Least-Squares, and Weighted Least-Squares methods of estimation of parameters of the CFA model<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Goodness-of-Fit Index (GIF), Root Mean Square Residual (RMR), Parsimonious Goodness-of- Fit Index (PGFI), AIC, BIC, McDonald\u2019s Measure of Certainty, and Non-Normal Fit Index (NNFI) to measure the degree of conformity of the postulated factor model to the data<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Time series<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nARCH models: BHHH, BFGS, and Newton-Raphson implementations, forecasts for error variances using the parameter estimates, Jarque-Bera test for normality of errors, McLeod and Lagrange Multiplier tests for ARCH effect<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
GARCH models: BHHH, BFGS, and Newton-Raphson implementations, forecasts for error variances using the parameter estimates, Jarque-Bera test for normality of errors, McLeod and Lagrange Multiplier tests for ARCH effect<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Time series plot<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
ACF, PACF, CCF<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Transform<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Moving average, LOWESS, exponential, smoothing<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Seasonal adjustment<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
ARIMA<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Trend analysis<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Fourier transformation<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Missing value analysis<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Quality analysis<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nHistogram<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Pareto chart<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Box-and-Whisker Plot<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Process capability analysis<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Control charts<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Survival analysis<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Response surface methods<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Path analysis (RAMONA)<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Conjoint analysis<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Multidimensional scaling<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Perceptual mapping<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Partially Ordered Scalogram Analysis with Coordinates (POSAC)<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Test item analysis<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Signal detection analysis<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Spatial statistics<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Classification and regression trees<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Monte Carlo (Add-on)<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nIID Monte Carlo *<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nRejection sampling *<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nAdaptive Rejection Sampling (ARS) *<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nMarkov Chain Monte Carlo (MCMC) algorithms *<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nMetropolis-Hastings (M-H) algorithm *<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nGibbs sampling algorithm *<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nMonte Carlo integration *<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Quality analysis (Add-on)<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nGauge R & R studies *<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Sigma measurements *<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Taguchi\u2019s on-line SPC *<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Signal-to-Noise ratio analysis of Taguchi loss functions *<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Environment Variables \u2013 Column<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
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General Options<\/td>\nSystat Version<\/strong><\/td>\n<\/tr>\n
<\/td>\n13.2<\/strong><\/td>\n12.0<\/b><\/td>\n11.0<\/b><\/td>\n10.2<\/b><\/td>\n<\/tr>\n
Customizable toolbars<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Auto-hide Workspace and Commandspace<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Store and retrieve current settings for several options including active data file, value label display format, and variable label display format<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Tabbed dialog boxes with tabs arranged vertically<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Import Business Objects<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Save view-mode data files<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Close data files that are no longer needed in a given session<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Drag-and-drop data from editors that support dragging of content, including the Commandspace, into the Data Editor<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Define and call macros in your command scripts<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Open legacy command files for direct execution in the current version<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Specify the field width, number of decimal places, locale and digit grouping for numeric output<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Specify colors in terms of their RGB component values<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
45 built-in colors<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Overlaid graphs, pie charts, and stacked bar charts colored in such a way as to provide more contrast between adjacent elements<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Windows XP-style grids in the Data\/Variable Editor and dialog boxes<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Advanced customizable Status Bar with items to toggle global settings, data processing conditions, and states of the Insert, Caps Lock, Num Lock and Scroll Lock keys on the keyboard<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Token dialog boxes to make choices that are mapped to underlying command files<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Data Edit Bar<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
View toolbars using the View menu<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Default variable format, distinct from numeric output format, for newly created variables in the Data Editor<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Global option to trim leading and trailing spaces in string variable data<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Database capture<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Startpage<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Variable Editor<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
View Value Labels and data values in data editor<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
View Variable Statistics and Histogram in data editor for a variable<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Windows Menu<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Quick Access Menu<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Examples tab in Workspace and Customizing Examples<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Customizable Interface themes<\/td>\n<\/tr>\n
<\/td>\nApply theme<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Save theme<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Download theme<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Customization of resources<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
File Comments in Data Editor<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Interlinked Command Line and and Dialog Interface<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Case selection Tools<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Crash Recovery and Rescue System<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Windows XP Style Interface<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Autocomplete Commands<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Opening multiple command files<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Command Coloring<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Opening Multiple Data Files (View and Active Modes)<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Create a new data file by double-clicking in the empty area in Viewspace<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Opening Multiple Graphs (View and Active Modes)<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Saving Command Files in the ANSI Format<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Active Tab at the Beginning of Viewspace\/Commandspace<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Collapsible links for each section of the output<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Output, data and graph editor in a single tabbed window<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Global output scheme options<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Detailed output organizer node captions<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Advanced customizable status bar<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
New popup menu creation in the Menu Bar<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Import data formats<\/td>\n<\/tr>\n
<\/td>\nSigmaPlot<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Statview<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Stata<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Statistica<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
JMP<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Minitab<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
S-Plus<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
ASCII<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Microsoft Excel<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
SAS<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
SPSS<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
BMDP<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
dBASE<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Arc View<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Dif<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Lotus<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Symphony<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
MDB<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Export data formats<\/td>\n<\/tr>\n
<\/td>\nStata<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Statistica<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
JMP<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Minitab<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
S-Plus<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
ASCII<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Microsoft Excel<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
SAS<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
SPSS<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
BMDP<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
dBASE<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Arc View<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Dif<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Lotus<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Symphony<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Matrix computations<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Random number generator<\/td>\n<\/tr>\n
<\/td>\nMersenne-Twister algorithm<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Wichman-Hill algorithm<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Save output as RTF or HTML<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Save output as MHT<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Online HTML Help with Context Sensitive Help<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Systat Manuals<\/td>\n<\/tr>\n
<\/td>\nGetting Started<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Statistics I<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Statistics II<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Statistics III<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Graphics<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Data<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Language Reference<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Knowledge base (FAQ)<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Bubble Help<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Customizable Main Menus and Right Mouse Button Menus<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Sub dialog boxes under different tabs of a main dialog box<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Icons to indicate Category,Frequency and Weight variables in dialog boxes<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Grid controls with keyboard shortcuts for navigation in Dialog boxes<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Variable labels as tooltip on mouse hover in dialog boxes<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Whats this\u2019 help for each item in the dialog box<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Saving output graph formats<\/td>\n<\/tr>\n
<\/td>\nBMP<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
EPS<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
EMF<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
JPG<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
PICT<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
WMF<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
CGM<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
GIF<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
TIFF<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
PS<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
PNG<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

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