Statgraphics 18 新版特色
1. Big Data – new file format for managing data with many millions of rows.
2. Censored numeric data type – for representing left, right and interval-censored data.
3. Create data and code columns – for consolidating multiple data columns.
4. Currency data type – for representing currency in dollars, Euros, pounds or yen.
5. New operators – 17 new operators for use in Statgraphics expressions.
6. Replace censored values – specification of replacement values for censored data.
1. Contour plots – new option to label each contour line.
2. Demographic maps – now supports SHP boundary files.
3. Diamond plot – dot plot with diamond displaying confidence interval for the mean.
4. Donut chart – alternative to piechart.
5. Heat map – shows the distribution of a quantitative factor by 2 categorical factors.
6. Hexagon plot – automatic replacement of scatterplots with hexagons for Big Data.
7. Likert plot – displays survey data recorded on a Likert scale.
8. Regression models – shading of area between confidence and prediction limits.
9. Ribbon plot – new type of plot for displaying response surfaces.
10. Time series baseline plot – for plotting data with upper and lower warning limits.
11. Tornado and butterfly plots – for comparing 2 samples of attribute data.
1. Installation – new option to deactivate program and move to new computer.
2. Network installation – new option to check out individual seats.
3. R interface – improved configuration of interface to the R language.
4. Repeat analysis by – replication of statistical procedures for multiple data columns.
DESIGN OF EXPERIMENTS & STATISTICAL PROCESS CONTROL
1. Attribute capability analysis Statlet – classical and Bayesian estimation.
2. Capability control charts – for Cp, Cpk, rate & proportion of nonconforming items.
3. Capability control chart design – determination of adequate sample size.
4. Definitive screening designs – new designs for fitting models with quadratic terms.
5. Multivariate capability analysis – new bootstrap confidence intervals.
6. Multivariate tolerance limits – using elliptical regions or Bonferroni approach.
7. X-bar and R chart – now available for subgroups with more than 100 observations.
1. Demographic map visualizer – dynamic visualization of changes by location.
2. Population pyramid – dynamic visualization of comparative population changes.
3. Sunflower plot – displays Big Data with sunflowers replacing overlapping points.
4. Trivariate density – for displaying multivariate distribution of 3 variables.
5. Violin plot – combines box-and-whisker plot with nonparametric density estimate.
6. Wind rose – dynamic visualizer of changes in wind speed and direction over time.
OTHER NEW STATISTICAL PROCEDURES
1. Classification and regression trees (CART) – new machine learning algorithms.
2. Distribution fitting (arbitrarily censored data) – left, right and interval censoring.
3. Equivalence & noninferiority tests – for comparing two independent samples, two paired samples,
one mean against a target, or a 2x2 crossover study.
4. Multidimensional scaling – displays multivariate data in a low dimensional space.
5. Multivariate normal random numbers – generates data with specified correlations.
6. Multivariate normality test – tests if data come from a multivariate normal distribution.
7. Orthogonal regression – fits models with errors in both Y and X.
8. Text mining – document scanning and construction of word clouds.
9. X-13ARIMA-SEATS Seasonal Adjustment – for time series data.
CHANGES TO EXISTING PROCEDURES
1. Automatic forecasting – Ljung-Box test for testing residual autocorrelations.
2. Bivariate density plot – overlays points on bivariate density contours.
3. Box-and-whisker plots – optional diamond to display confidence interval for mean.
4. Capability analysis for variables – new option to fit Johnson curves.
5. Chi-square tests – specification of minimum frequency before combining classes.
6. Monte Carlo general simulation models – new Sensitivity Tornado Plot.
7. Monte Carlo simulation of ARIMA models – option to specify starting values.
8. Subset analysis – new percentile plot and table of percentiles by group
- Windows XP, Vista, 7, 8 or later
- At least 512MB of RAM
- 260MB or greater of available disk storage
- CD-ROM drive or access to Internet
32-bit and 64-bit
|Product||Target Audience||Type of product||License types|
|Statgraphics Centurion 18||Data analysts desiring a wide range of statistical tools||Standalone Windows application||Single-user perpetual|
|Academic enterprise annual|
|Statgraphics sigma express||Six Sigma practitioners needing statistical functions for quality improvement||Excel add-in||Single-user perpetual|
|Academic enterprise annual|
|Statgraphics stratus||Data analysts desiring statistical functionality within a web browser||Web application||Single-user monthly|
|Statgraphics Web Services||Web application developers||Web service||Server annual|
|Statbeans||JAVA application developers||Statistical library||Server annual|
The StatAdvisor makes statistical output understandable by individuals who may not be professional statisticians. It explains the critical insights to be gained from each output table, explaining the significance (or lack thereof) of the results. StatAdvisor output is perfect for pasting into a report to disseminate to others.
Communicate with your data in ways you could never imagine. Statgraphics XVII has the tools you need to connect with your data, accelerate your knowledge and make the most out of the results. Use slider bars to change analysis options. Use toolbar controls to zoom in on interesting features or rotate plots to get a better view. Examine unusual points, highlight subsets, or create a video.
Quality Management and Improvement
Design of Experiments Wizard
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