SAS/QC 13.2 User's Guide
Example Programs (Sample Library)
For tips about extracting data, see Reading Sample Data from a URL.
ANOM Procedure
- Creating ANOM BOXCHARTS from Response Values
- ANOM BOXCHARTS With Unequal Group Sizes
- Creating BOXCHARTS from Group Summary Data
- Saving Decision Limits Using ANOM BOXCHART
- Saving Summary Statistics for Groups
- Saving Decision Limits and Summary Statistics
- Displaying Summary Statistics on an ANOM Chart
- Formatting and Positioning the Inset on an ANOM Chart
- Adding a Header and Positioning the Inset on an ANOM Chart
- Positioning the Inset on an ANOM Chart Using Compass Points
- Positioning the Inset Using Coordinates on an ANOM Chart
- Creating ANOM p Charts from Group Counts
- ANOM p Charts with Angled Axis Labels
- Creating ANOM p Charts from Group Summary Data
- Saving Decision Limits Using ANOM PCHART
- Saving Group Proportions Using ANOM PCHART
- Saving ANOM PCHART Summary Statistics and Decision Limits
- Creating ANOM Charts for Rates from Group Counts
- Creating ANOM Charts with Angled Axis Labels
- Saving Decision Limits Using ANOM UCHART
- Saving ANOM UCHART Summary Statistics and Decision Limits
- Creating ANOM Charts for Means from Response Variables
- ANOM Charts with Unequal Group Sizes
- ANOM for a Two-Way Classification
- Combined ANOM Charts for Two Factors
- ANOM Charts Using LIMITS= Data Set
- Combined ANOM Charts Using LIMITS= Data Set
- ANOM for Cell Means in the Presence of Interaction
- Creating ANOM Charts for Means from Group Summary Data
- Saving Decision Limits Using ANOM Charts for Means
- Saving Summary Statistics for Groups Using ANOM Charts
- Saving Summary Statistics & Decision Limits Using ANOM Charts
CAPABILITY Procedure
- Histogram with Superimposed Beta Curve
- Fitting a Beta Curve on a Histogram
- CDF Plot with Superimposed Normal Curve
- Comparative Histograms with Normal Curves
- Machine Study with Comparative Histogram
- Two-Way Comparative Histogram
- New Distribution Option for Using Colors
- Assessing Process Capability With Cpm
- Superimposing Fitted Curves on a Histogram
- New EDF Statistics for Goodness-of-Fit Test
- Comparing Goodness-of-Fit Tests
- Histogram with Fitted Normal Curve
- Controlling the Inset Color
- Specifying Text Fonts in an Inset
- User Specified Header for Insets
- Specifying the Height for the Inset Text
- Inset with User Specified Labels & Formats
- Nonnormal Distribution Capability Indices
- Normal Curve Parameter Displayed in Inset
- Histograms with INSET Statement Features
- Positioning the Inset
- Inset for Goodness-of-Fit Statistics
- Inset for Areas Under a Fitted Curve
- Calculating Various Statistical Intervals
- Specifying the Position of the Inset
- Displaying Spec Limits in an Inset
- Superimposing Kernel Density Estimates
- Estimating a Three-Parameter Lognormal Curve
- Three-Parameter Lognormal Distribution
- Compute Cpk Based on Fitted Lognormal Curve
- New Variables Available in OUTFIT= Data Set
- Saving CAPABILITY Output in a Data Set
- Creating P-P Plots
- Interpreting P-P Plots
- Lognormal Prob-Prob Plot for Nonnormal Data
- Creating a Normal Probability Plot
- Lognormal Prob Plot for Nonnormal Data
- Creating Lognormal Probability Plots
- Probability Plot with Normal Reference Line
- Computing Summary Stats and Capability Indices
- Creating Normal Q-Q Plots
- Creating Lognormal Q-Q Plots
- Creating Weibull Q-Q Plots
- Normal Q-Q Plot for Nonnormal Data
- Lognormal Q-Q Plots for Nonnormal Data
- Q-Q Plot with Distribution Reference
- Controlling the Appearance of Spec Limits
- Reading Spec Limits from an Input Data Set
- Displaying a Confidence Interval for Cpm
- Tabulating Results for Multiple Variables
- New VAXIS= Scaling Option for Histograms
- Estimating a Three-Parameter Weibull Curve
- Three-Parameter Weibull Distribution
- Two-Parameter Weibull Q-Q Plot
- Bias of Cjkp Estimator
- Moments of Estimator of Cjkp
- Mean Square Error of Cjkp Estimator
- Bias of Estimator for Cp
- Two-Sided Confidence Limits for Cp
- Computing Nonstandard Capability Indices
- Bias of Estimator for Cpk
- LCL for Cpk (Chou et al.)
- LCL for Cpk (Guirguis, Rodriguez)
- Approximate Confidence Limits for Cpk
- PDF of Estimator of Cpk
- Moments of Estimator of Cpk
- Mean Square Error of Estimator for Cpk
- Lower Confidence Limits for CPL and CPU
- Bias of Cpm Estimator
- Approx. Two-Sided Confidence Limits for Cpm
- Moments of Estimator of Cpm
- Mean Square Error of Estimator for Cpm
- Moments of Estimator of Cp
- Mean Square Error of Estimator for Cp
- Johnson System of Distributions-SU System
- Johnson System of Distributions-SB System
- Johnson System of Distributions-SL System
- Johnson System of Distributions-Macro
- Compute Cpk from Johnson SU Distribution
- Compute Cpk Using Johnson SB Distribution
- Compute Cpk Using Johnson SL Distribution
CUSUM Procedure
- Average Run Length for Two-Sided Cusum
- Cusum ARLs Using Markov Chain
- Combined Shewhart-Cusum Scheme
- One-Sided Cusum Scheme
- One-sided Cusum Chart
- Two-sided Cusum Chart with V-Mask
- Saving V-Mask Parameters for Cusum Chart
- Reusing V-mask Parameters for Cusum Chart
- Specifying Two-Sided Cusum Parameter h
- Upper and Lower One-Sided Cusum Charts
- Cusum and Standard Deviation Charts
- Adding Inset Statistics to a CUSUM Chart
FACTEX Procedure
- Complete Two-Level Factorial Design
- Complete Factorial Design With Mixed Levels
- Half-Fraction Factorial Design
- A Problem In Quality Improvement
- Augmenting A Resolution IV Design
- Mixed-Level Designs Using Pseudo-Factors
- Mixed-Level Designs Using Cross-Products
- Mixed-Level Design with Collapsing Factors
- Constructing the L18 Orthogonal Array
- Hyper-Graeco-Latin Square
- Incomplete Block Design
- A Completely Randomized Design
- A Factorial Design with Center Points
- A Fold-Over Design
- A Randomized Complete Block Design
- A Two-Level Design with Replication
- A Mixed-Level Design Using Replication
- A Res IV Design with Minimum Aberration
- Replicated Blocked Design with Confounding
- Complete Factorial Experiment
- Resolution IV Augmented Design
- Fractional Factorial Split-Plot Design
- A Design for a Three-Step Process
- A Strip-Split-Split-Plot Design
- Two-Level Full Factorial Design
- Full Factorial Design in Two Blocks
ISHIKAWA Procedure
- Semiconductor Example
- Tape Measure Manufacturing
- Photographic Quality Example
- Ishikawa / Fishbone / Cause & Effect Diagrams
- Format Data Set from Parent/Child Links
- Convert Menu Data Sets to Procedure Format
- Photographic Quality Data
- Airline data
MACONTROL Procedure
- Exponentially Weighted Moving Average Chart
- Specifying Standard Values for EWMA Chart
- Displaying Limits Based on Asymptotic Values
- EWMA Chart with Unequal Subgroup Sample Sizes
- EWMA Chart with Individual Measurements
- Computing Average Run Lengths for EWMA Chart
- Exponentially Weighted Moving Average Chart
- Exponentially Wghtd Moving Averages Table
- EWMA Chart Superimposed w/ Subgroup Means
- Uniformly Weighted Moving Average Chart
- Standard Values for Moving Average Charts
- ARLs Shown on a Moving Average Chart
- Uniformly Weighted Moving Average Chart
- Parameters Saved in OUTLIMITS= Data Set
- Reading Parameters from LIMITS= Data Set
- Moving Averages Computed from Summary Data
- Estimating the Process Mean and Std Dev
- Adding Inset Statistics to an EWMA Chart
MVPDIAGNOSE Procedure
MVPMODEL Procedure
- Building a Principal Component Model
- Using Cross Validation
- Computing the Classical T-Square Statistic
MVPMONITOR Procedure
- Monitoring Airline Flight Delays
- Combining Data from Peer Processes
- Creating Multivariate Control Charts for Phase II
- Comparing Univariate and Multivariate Control Charts
- Creating a Classical T-Square Chart
OPTEX Procedure
- Fractional Factorial Design Using OPTEX
- Factorial Design With Blocks
- A Nonstandard Linear Model
- Engine Mapping Problem
- Constrained Mixture Experiment
- An Incomplete Block Design
- Bayesian Optimal Design
- Balanced Incomplete Block Design
- Optimal Design with Fixed Covariates
- Optimal Design in Presence of Covariance
- Adding Space-filling Points to a Design
- Constructing a Nonstandard Design
PARETO Procedure
- Basic Pareto Chart from Raw Data
- Basic Pareto Chart from Frequency Data
- Pareto Chart with Restricted Number of Categories
- Displaying Summary Statistics on a Pareto Chart
- Positioning Insets in Pareto Charts
- Before & After Pareto Charts Using a BY Variable
- Basic and Comparative Pareto Charts
- Highlighting the "Vital Few"
- Highlighting Specific Pareto Categories
- Highlighting Tiles in a Comparative Pareto Chart
- Ordering Rows and Columns in a Comparative Chart
- Merging Columns in a Comparative Pareto Chart
- Pareto Analysis Based on Cost
- Alternative Pareto Charts
- Customizing Inset Labels and Formatting Values
- Specifying Inset Headers and Positions
- Managing a Large Number of Categories
RELIABILITY Procedure
- Analysis of binomial data
- Mean Cumulative Function Plot
- MCF Difference Plot for Braking Grids Data
- MCF Plot for Defrost Control Data
- Probability Plot for Engine Fan Data
- Probability Plot for Insulating Fluid Data
- Probability Plot for Part Cracking Data
- Regression analysis with Weibull model
- Relation Plot for the Insulation Data
- Examples of regression models
- Example 1 for PROC RELIABILITY
- Example 2 for PROC RELIABILITY
- Getting Started Example 1 for PROC RELIABILITY
- Getting Started Example 2 for PROC RELIABILITY
- Getting Started Example 3 for PROC RELIABILITY
- Getting Started Example 4 for PROC RELIABILITY
- Getting Started Example 5 for PROC RELIABILITY
- Getting Started Example 6 for PROC RELIABILITY
- Getting Started Example 7 for PROC RELIABILITY
- Getting Started Example 8 for PROC RELIABILITY
- Getting Started Example 9 for PROC RELIABILITY
- Getting Started Example 10 for PROC RELIABILITY
- Getting Started Example 11 for PROC RELIABILITY
- Getting Started Example 12 for PROC RELIABILITY
SHEWHART Procedure
- Autocorrelation in Process Data
- Autocorrelated Process Data Trend Chart
- ARL For Combined Individuals & Moving Range
- ARL With Supplementary Run Rules
- Using Block Variables to Stratify Data
- Shewhart p Chart With Block Variables
- Control Chart with Data Table
- Boxchart with Summary Statistics
- X-Bar Chart Superimposed with Boxplots
- Boxchart for Nonnormal Data
- Control Chart for the Subgroup Maximum
- Using Box Charts to Compare Subgroups
- Creating Various Styles of Box Charts
- Notched Box-and-Whisker Plots
- Varying Width Box-and-Whisker Plots
- Box Chart Examples
- Box Chart With Variable Width Boxes
- c Chart
- c Chart Examples
- Tests for Special Causes Applied to c Chart
- c Chart Based on Known (Standard) Value
- c Chart for Varying Number of Inspection Units
- Clipping Extreme Points
- Displaying Multiple Sets of Control Limits
- Individual Measurements Chart with Boxplot
- Insets Details Examples
- Insets Getting Started Examples
- Individual Measurement and Moving Range Charts
- IRCHART with Tests for Special Causes
- Specifying Known Values for IRCHART
- IRCHARTS with Margin Plots
- Labeling Axes on Shewhart Charts
- Median Chart Examples
- X-bar Chart from Subgroup Summary Data
- Median Chart Example 1
- Median Chart Example 2
- X-Bar & s Charts for Subgroup Summary Data
- Median and Range Charts Examples
- Median and Range Charts-Unequal Subgroup Sizes
- Median and Range Charts-Specifying Axis Labels
- X-Bar & R Charts for Multiple Variables
- Multiple Components of Variation
- Constructing Multi-Vari Charts
- Nonnormal Process Data
- np Chart Examples
- np Charts-Tests for Special Causes
- Specifying a Known Proportion for np Charts
- np Charts with Unequal Subgroup Sample Sizes
- np Charts-Specifying Control Limit Info
- Plotting OC Curves for Mean Charts
- OC Curve for p Chart
- p Chart Examples
- p Charts-Tests for Special Causes
- p Charts-Specifying Std Average Proportion
- p Charts with Unequal Subgroup Sample Sizes
- p Charts with Revised Control Limits
- Displaying Stratification in Phases
- OC Curve for a p Chart
- Q Charts for Individual Measurements
- Q Charts for Individual Measurements
- Q Charts for Process Means
- Q Charts for Process Variances
- Range Chart (R Chart) Examples
- An R Chart with Probability Limits
- Specifying Control Limit Info for R Chart
- Run Sum Control Chart
- Computing Average Run Lengths for s Charts
- Standard Deviation Chart (s Chart) Example
- s Chart with Known Standard Deviation
- Short Run Control Chart (Example 1)
- Short Run Control Chart (Example 2)
- Short Run Process Control
- Shewhart Chart With Polygon Star Display
- Default and Wedge Star Displays
- Radial and Spoke Star Displays
- Basic Star Chart
- Inner & Outer Reference Circles for Stars
- Graphical Styles for Stars
- Method of Standardization for Stars
- s Chart for Transformed Data
- Displaying Auxiliary Data with Stars
- Star Charts-Specifying the Style of Stars
- Standardization Method on Star Charts
- Selecting Subgroups Using Switch Variables
- Stratifying Data with a Classification Variable
- Stratifying Data w/ Symbol Variable
- Creating Multivariate Control Charts
- Mean Chart-Tests for Special Causes Applied
- X-Bar Chart for Data with Nonlinear Trend
- Requesting Tests for Special Causes
- Applying Tests with Multiple Control Limits
- Applying Tests for Special Causes-R charts
- Applying Tests Based on General Patterns
- Customizing Tests with DATA Step Programs
- T-Square Chart for Bivariate Process Data
- T-Square Chart for Bivariate Data
- T-Square Chart for Bivariate Data
- u Chart Examples
- u Chart-Applying Tests for Special Causes
- u Chart-Known Expected Number of Nonconformities
- u Charts-Varying Number of Inspection Units
- Selecting Subgroups Using WHERE Statements
- Mean (X-BAR) Chart Examples
- Estimating the Process Standard Deviation
- Computing Process Capability Indices
- Mean and Range (X-Bar and R) Charts
- Mean and Range Charts-Tests for Special Causes
- X-bar and R CHARTS-Specifying Standard Values
- X-bar and R Charts with Varying Sample Sizes
- Mean and Standard Deviation Charts Examples
- X-Bar and s Charts with Probability Limits
- Reading Subgroup Summary Data
- Analyzing Nonnormal Process Data
- Zone control chart
- Simultaneous Bonferroni Confidence Intervals
- Macro for ANOM with Equal Sample Sizes
- Macro for ANOM with Unequal Sample Sizes
- Analysis of Means for Proportions
- Macro for Multiple of Std Error for ANOM
- Analysis of Means for Rate Data
- Analysis of Means with Equal Sample Sizes
- Analysis of Means with Unequal Sample Sizes
- Boxchart for Experimental Data
- Phase Chart for Process Design Changes
- Capability of the Improved Process
Macros for Design of Experiments
- A Chemical Reaction Study
- A Plant Filtration Study
- A Cake Icing Design in Blocks
- Breadwrapper Stock: Response-Surface Study
- Yarn Elongation: A Mixture Experiment
- A Constrained Mixture Experiment
- A Textile Study
- Macros for Fractional Factorial Designs
- Screening Design
- Fractional Factorial Design With Blocks
- Mixture Experiment
- Response Surface Study
- Power Transformations
DATA Step Programs for Inspection Sampling
- Analysis of Inspection Errors in Sampling
- E(N) for Curtailed Group Testing-Finite
- E(N) for Curtailed Group Testing-Infinite
- PC(NC) for Curtailed Group Testing-Finite
- PC(NC) for Curtailed Group Testing-Infinite
- PC(C) for Curtailed Group Testing-Finite
- PC(C) for Curtailed Group Testing-Infinite
- Distribution of Defective Items-Finite
- Distribution of Defective Item-Infinite
- Simple Dorfman Screening-Finite
- Simple Dorfman Screening-Infinite
- Two-Stage Dorfman Screening
- Three-Stage Dorfman Screening
- Acceptance Probabilities-Double Sampling
- 1PC(C)n|y for One-Stage Dorfman-Sterrett
- 1En|y for One-Stage Dorfman-Sterrett
- 1PC(NC)n|y for One-Stage Dorfman-Sterrett
- 2PC(C)n|y for Two-Stage Dorfman-Sterrett
- 2En|y for Two-Stage Dorfman-Sterrett
- 2PC(NC)n|y for Two-Stage Dorfman-Sterrett
- Graff-Roeloffs' Modification of Dorfman
- Acceptance Probabilities for Link Sampling
- Acceptance Probabilities for Partial Link Sampling