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STATGRAPHICS Centurion 19
統計繪圖軟體
Statistics and Graphical visualization of data.
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產品介紹!

統計繪圖軟體,除基本統計外還有品管、實驗設計、時間序列及多變數統計模組。專業版 除基本統計外還有時間序列及多變數統計模組。

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Statgraphics Centurion XVII
Statgraphics Centurion XVII is a major upgrade to Statpoint's flagship data analysis and visualization product. It contains 32 new statistical procedures and significant upgrades to 20 other existing procedures. The images below show some of the most significant enhancements. For a description of all Version 17 enhancements, 下載 Statgraphics Centurion V 17 Enhancements.pdf.

統計功能
•變異數分析Analysis of Variance
•基本統計方法Basic Statistical Methods
•類別資料分析Categorical Data Analysis
•資料採礦Data Mining
•實驗設計Design of Experiments
•資料探索分析Exploratory Data Analysis
•存活分析 可靠度分析Life Data Analysis and Reliability
•測量分析(量具)Measurement Systems Analysis
•多變量分析Multivariate Methods
•無母數分析Nonparametric Methods
•機率分配亂數產生器Probability Distributions
•製程品管分析Process Capability Analysis
•回歸分析Regression Analysis
•樣本大小檢定力Sample Size Determination
Six Sigma and Lean
•製程品管分析Statistical Process Control Charts
•時間序列及預測Time Series Analysis and Forecasting
•視覺化繪圖Visualization

YouTube 教學展示影片

Statgraphics Centurion XVII

New Features and Enhancements

Correlation Plot
The Correlation Plot (also called a corrgram) displays the estimated correlations or partial correlations for a set of quantitative variables in the form of a matrix with colored cells. If desired, only cells with statistically significant correlations will be displayed.

Laney P' and U' Control Charts
New control charts have been added to monitor overdispersed rates and proportions. Tests have been added to the existing P and U charts to determine when these charts should be used.

Deviation Dashboard
This new Statlet indicates the status of multiple variables by displaying how much they deviate from their respective means.  The primary format shows each variable using a vertical bar, the color of which indicates how many standard deviations the variable is from its mean. The controls on the Statlet toolbar interactively change the time period for which the data is displayed.

Demographic Maps
The Map by State procedure has been renamed Demographic Map and moved to the Plot menu. It can now create maps for any regions defined by a BNA boundary file. A new gradient fill may be used to indicate the level of a selected quantitative variable.

Kriging
A new procedure has been added for estimating the value of a random variable based on measurements made at locations distributed throughout a 2-dimensional region. Called Kriging, the procedure first creates a variogram to estimate the spatial dependence between measurements. Estimates are then made at unmeasured locations throughout the region.

Computer Generated Designs
Computer Generated designs, created by the DOE Wizard, are experimental designs which have optimal properties with respect to the estimation of specific statistical models. Given the definition of an experimental region (including linear factor constraints), a model to be estimated, and the number of experimental runs that can be performed, the program searches for a set of runs that maximize a selected design criteria (A, D, G or I optimality).

Bivariate Density Estimation
A new Statlet has been added to display the joint distribution of 2 random variables. The estimated density function may be displayed using a bivariate frequency histogram, a bivariate normal distribution, or a nonparametric density estimate.

MIL-STD-105E, 414, and 1916 Acceptance Sampling Plans for Attributes and Variables
New procedures calculate the required sample sizes for implementing standard acceptance sampling plans. The plans include "zero acceptance number" sampling plans in which a lot of N items is accepted if a sample of n items has no nonconforming members. Single, double and multiple sampling plans are included.

Dynamic Visualizers for Multiple Time Series
Three new Statlets have been developed to help users visualize the changes in multiple variables over time. Given n time series observed over p time periods, the program generates a dynamic display that illustrates how each of the variables has changed over time. The controls on the Statlet toolbar let the user change the period for which the data are displayed.

Repeated Measures ANOVA
New procedures have been added to facilitate the analysis of oneway and twoway repeated measures designs.Included in the procedures is Mauchley’s test for sphericity, which is a condition requiring that the variance between any two estimated treatment means be the same. Corrections to the standard F-test are included for cases when sphericity is not present. Alternative MANOVA tests are also included.

Graphics - Object Editing
New features available in all graphs include: addition of objects such as arrows, lines and rectangles; highlighting selected objects such as selected bars in a histogram; interactive manipulation of text font sizes; improved recording of videos; enhanced zoom and pan; highlighting of points by a secondary variable.

Audit Trails and Electronic Signatures
Beginning with Version 16.2, Statgraphics Centurion saved as part of a StatFolio an audit trail that tracks important events in the life of a StatFolio (the main Statgraphics document). Version 17 adds an electronic signature to the audit trail, created from the username and computer name of the active Windows session.

Multivariate Visualizer
This new Statlet is designed to plot multiple time series in a manner that helps users visualize the changes in multiple variables over time. Given nsamples for each of m variables observed over p time periods, the program generates a dynamic display that illustrates how each of the variables has changed over time.Several different types of plots may be created, including barcharts, piecharts, profile plots, strip plots, starplots, and Chernoff faces. As time evolves, the analyst can follow changes in all of the variables and all of the samples simultaneously.

G and T Control Charts
These new procedures create control charts for the length of time between the occurrence of rare events. They are based on the geometric and Weibull distributions, respectively. These type of charts are used frequently in the health sciences to monitor the occurrence of events such as post-surgical infections. Input data may consist of either the times at which events occurred or the length of time between events.

Reliability Demonstration Test Plans
This new Statlet creates test plans to demonstrate that a failure time distribution satisfies stated conditions. For example, it may be desired to show with 95% confidence that the reliability of a product equals or exceeds 90% at the end of the warranty period. During the demonstration, n units will be tested for a duration equal to t. The demonstration will be considered successful if no more than f units fail during the test. The user specifies either the number of units to be tested or the duration of the test. The procedure solves for the other quantity.

Item Reliability Analysis
This new procedure is designed to estimate the reliability or consistency of a set of variables. It is commonly used to assess how well a set of questions in a survey, each of which is designed to illicit information about the same characteristic, give consistent results. The major output of the procedure is Cronbach’s alpha. Alpha may be calculated directly from the input variables, or the variables may first be standardized so that they have equal variances. The effect on alpha when each variable is separately omitted is also estimated, so that unreliable questions can be identified.

Open-High-Low-Close Candlestick Plot
This new Statlet is designed to plot security prices in a manner often used by stock traders. It shows the opening price for each trading session, high and low prices during the session, and the closing price using a graphical image often referred to as a candlestick. Trading bands may be plotted around the smoothed line at either a fixed percentage or using the method developed by Bollinger.Trading volumes may also be displayed as bars along the bottom of the plot.

Value Labels
Value labels may now be associated with numeric columns. Value labels are character strings that replace specific values in the column when output for that column is displayed. For example, stock analysts sometimes classify individual securities as "Strong Buy", "Buy", "Hold", "Sell", or "Strong Sell". Rather than entering those strings in a character column, it is often easier to enter numbers such as 1, 2, 3, 4 or 5 in a numeric column. By creating value labels that correspond to each of those numbers, you can have the strings appear in all output in place of the corresponding numbers.

Increased Data Capacity
Version 17 has been enhanced so that it can handle larger data sets than earlier versions. Rather than loading all of the data into the databook, only a limited number of records are loaded at any time for viewing. The algorithms for calculating various statistics have also been reworked to handle more data.

Ternary Plots
This new procedure may be used to create a scatterplot of 3 variables which always sum to a constant value. It shows the values of the variables on a plot shaped like an equilateral triangle. It is sometimes called asimplex plot or a de Finetti diagram

Session Log (StatLog)
A new window called the StatLog appears by default whenever Statgraphics is loaded. The StatLog stores information about the current session. Certain information is always included, such as the opening and closing of files and the creation of analysis windows. Other information, such as the contents of statistical tables and graphs, is only included if specified on the Preferences dialog box.

Sample Size Determination Statlet
This new Statlet determines the sample size needed to estimate or test values of various parameters. The size may be based on either the width of a confidence interval or the power of a hypothesis test. Parameters for which sample sizes may be determined include means, standard deviations, proportions, rates, capability indices, and correlation coefficients.

StatFolio Passwords
Both owner and user passwords may now be added to a StatFolio. Owners have unlimited privileges and may change a StatFolio in any manner. Users are limited to the privileges specified on the dialog box.

Factorability Tests
New tests have been added to theFactor Analysis and Principal Components procedures to determine whether it is useful to extract factors from a set of variables. The factorability tests include the Kaiser-Meyer-Olsen (KMO) measure of sampling adequacy and Bartlett’s test of sphericity.

Surface-Fitting Statlet
This new procedure estimates response surfaces involving a dependent variable Y and two independent variables X1 and X2. Surfaces may be estimated using either a parametric model or a nonparametric LOWESS smooth.
A slider on the Statlet toolbar may be used to interactively change either the powers in the parametric model or the width of the LOWESS smoothing

 

 

010 download setup

010 xplot

011 xyplot

011 xyplot1

012 xyzplot

013 Polar

014 spherical

015 ternary

016 matrixplot

020 boxplots

021 violinplot

022 diamond plot

023 dotdiagram

024 histogram

025 qplot quantile

026 probplot

027 bubblechart

028 spiderplot

029 Heatmap

030 parallelcoords

031 Andrews Plot

032 Star Glyphs

033 Chernoff Faces

034 Run Charts

035 Component Line Chart

036 High Low Close Plot

037 Time Series Baseline Plot

038 Bar chart

039 Pie chart

040 Multiple Bar chart

041 Dashboard Gage

042 Tornado and Butterfly Plots

043 Demographic Map

044 Probability Distributions

045 Cubic Spline

046 Bicubic Spline

047 Surface and Contour Plots

050 One Variable Analysis

051 Multiple Variable Analysis

052 Subset Analysis

053 Rowwise Statistics

054 Power Transformations

055 Statistical Tolerance Limits

056 Outlier Identification

057 Hypothesis Tests

058 Sequential Sampling

059 Tabulation

060 Frequency Tables

061 Crosstabulation

062 Contingency Tables

063 Likert Plot

064 Probability Plots

065 Fitting Uncensored Data

066 Fitting Censored Data

067 Life Tables Intervals

068 Life Tables Times

069 Weibull Analysis

070 Arrhenius Plots

071 Repairable Systems Intervals

Statgraphics 18 Registration

Statgraphics 18 Installation

Statgraphics 18 Trial Period Activation

Statgraphics 18 Single User License Installation

Statgraphics 18 Site License Activation

Population Pyramid Statlet

Statgraphics 18 Multiuser Network License setup

Dynamic Wind Rose Diagram

Violin Plots

Check-out Statgraphics 18 Network Seats

What's New in Statgraphics 18

Heat Maps

Diamond Plots

Time Series Baseline Plot

Sunflower Plots for Big Data

Dynamic Demographic Maps by Location

Creating a Statgraphics Big Data File

Modifying a Statgraphics Big Data File

Combining Statgraphics Big Data Files

Likert Plots

Donut Charts

Ljung-Box Test for Autocorrelation

Tornado and Butterfly Plots

Trivariate Density Estimation

Plotting Big Data

Analyzing Big Data

X-13ARIMA-SEATS Seasonal Adjustment

Text Mining (How to Data Mine)

Multidimensional Scaling

Equivalence and Noninferiority Tests for 2 Independent Samples

Equivalence and Noninferiority Tests for 2x2 Crossover Studies

Distribution Fitting for Arbitrarily Censored Data

Installing and Configuring R for Use with Statgraphics 18

Ribbon Plots

New Data Types

Contour Plots in Statgraphics 18

New Operators in Statgraphics 18

Orthogonal Regression

Repeat Analysis For...