Flylib.com
List of Outputs
Previous page
Table of content
Chapter 1: The CORR Procedure
Output 1.1.1: Simple Statistics
Output 1.1.2: Pearson Correlation Coefficients
Output 1.1.3: Spearman Correlation Coefficients
Output 1.1.4: Kendalls Tau-b Correlation Coefficients
Output 1.1.5: Hoeffdings Dependence Coefficients
Output 1.1.6: Symmetric Scatter Plot Matrix (Experimental)
Output 1.2.1: Simple Statistics
Output 1.2.2: Sum-of-squares and Crossproducts
Output 1.2.3: Variances and Covariances
Output 1.2.4: Pearson Correlation Coefficients
Output 1.2.5: Rectangular Matrix Plot (Experimental)
Output 1.3.1: Sample Correlations
Output 1.3.2: Correlation Statistics Using Fishers z Transformation
Output 1.3.3: One-sided Correlation Analysis Using Fishers z Transformation
Output 1.4.1: Fishers Test for H
:
=
Output 1.4.2: Fishers Correlation Statistics
Output 1.4.3: Test of Equality of Observed Correlations
Output 1.4.4: Combined Correlation Estimate
Output 1.5.1: Simple Statistics
Output 1.5.2: Pearson Correlation Coefficients
Output 1.7.3: Scatter Plot Matrix (Experimental)
Output 1.5.3: Cronbachs Coefficient Alpha
Output 1.5.4: Cronbachs Coefficient Alpha with Deleted Variables
Output 1.6.1: Pearson Correlation Coefficients
Output 1.6.2: OUTP= Data Set with Pearson Correlations
Output 1.7.1: Simple Statistics
Output 1.7.2: Pearson Correlation Coefficients
Output 1.7.4: Scatter Plot with Prediction Ellipses (Experimental)
Output 1.7.5: Scatter Plot with Prediction Ellipses (Experimental)
Output 1.7.6: Scatter Plot with Confidence Ellipses (Experimental)
Output 1.8.1: Descriptive Statistics
Output 1.8.2: Pearson Partial Correlation Coefficients
Output 1.8.3: Partial Residual Scatter Plot (Experimental)
Chapter 2: The FREQ Procedure
Output 2.1.1: Frequency Tables
Output 2.1.2: Crosstabulation Table
Output 2.1.3: OUT= Data Set
Output 2.2.1: One-Way Frequency Table with BY Groups
Output 2.3.1: Binomial Proportion for Eye Color
Output 2.3.2: Binomial Proportion for Hair Color
Output 2.4.1: Contingency Table
Output 2.4.2: Chi-Square Statistics
Output 2.4.3: Relative Risk
Output 2.5.1: Contingency Table
Output 2.5.2: Chi-Square Statistics
Output 2.5.3: Output Data Set
Output 2.6.1: Cochran-Mantel-Haenszel Statistics
Output 2.6.2: CMH OptionRelative Risks
Output 2.6.3: CMH OptionBreslow-Day Test
Output 2.7.1: Contingency Table
Output 2.7.2: Measures of Association
Output 2.7.3: Trend Test
Output 2.8.1: CMH StatisticsStratifying by Subject
Output 2.8.2: CMH StatisticsNo Stratification
Output 2.9.1: One-Way Frequency Tables
Output 2.9.2: Measures of Agreement
Output 2.9.3: Cochrans Q
Chapter 3: The UNIVARIATE Procedure
Output 3.1.1: Display Basic Measures and Quantiles
Output 3.2.1: Table of Modes Display
Output 3.2.2: Default Output (Without MODES Option)
Output 3.3.1: Blood Pressure Extreme Observations
Output 3.3.2: Blood Pressure Extreme Values
Output 3.4.1: Table of Frequencies
Output 3.5.1: Ozone Plots for BY Group Site = 102
Output 3.5.2: Ozone Plots for BY Group Site = 134
Output 3.5.3: Ozone Plots for BY Group Site = 137
Output 3.5.4: Ozone Side-by-Side Boxplot for All BY Group
Output 3.6.1: Table of Moments
Output 3.7.1: Listing of Output Data Set Means
Output 3.7.2: Listing of Output Data Set StrengthStats
Output 3.8.1: Listing of Output Data Set PctlStrength
Output 3.8.2: Listing of Output Data Set Pctls
Output 3.9.1: Default 95% Confidence Limits
Output 3.9.2: 90% Confidence Limits
Output 3.10.1: Normal-Based Quantile Confidence Limits
Output 3.10.2: Distribution-Free Quantile Confidence Limits
Output 3.11.1: Computation of Trimmed and Winsorized Means
Output 3.11.2: Computation of Robust Estimates of Scale
Output 3.12.1: Tests for Location with MU0=66 and LOCCOUNT
Output 3.13.1: Sign Test for ScoreChange
Output 3.14.1: Histogram for Plating Thickness
Output 3.15.1: Partial Listing of Data Set Channel
Output 3.15.2: Histogram for Length Ignoring Lot Source
Output 3.15.3: Comparison by Lot Source
Output 3.16.1: Two-Way Comparative Histogram
Output 3.17.1: Comparative Histograms
Output 3.18.1: Table of Bin Percentages Requested with MIDPERCENTS Option
Output 3.18.2: Histogram with ENDPOINTS= Option
Output 3.18.3: Histogram with MIDPOINTS= and RTINCLUDE Options
Output 3.18.4: The OUTHISTOGRAM= Data Set OutMdpts
Output 3.19.1: Summary of Fitted Normal Distribution
Output 3.19.2: Summary of Fitted Normal Distribution (cont.)
Output 3.19.3: Histogram Superimposed with Normal Curve
Output 3.20.1: Fitting Normal Curves to a Comparative Histogram
Output 3.21.1: Superimposing a Histogram with a Fitted Beta Curve
Output 3.21.2: Summary of Fitted Beta Distribution
Output 3.22.1: Superimposing a Histogram with Fitted Curves
Output 3.22.2: Summary of Fitted Lognormal Distribution
Output 3.22.3: Summary of Fitted Lognormal Distribution (cont.)
Output 3.22.4: Summary of Fitted Weibull Distribution
Output 3.22.5: Summary of Fitted Gamma Distribution
Output 3.23.1: Multiple Kernel Density Estimates
Output 3.24.1: Three-Parameter Lognormal Fit
Output 3.25.1: Preliminary Estimates of ,
ƒ
, and
Output 3.25.2: Final Estimates of ,
ƒ
, and
Output 3.25.3: The Data Set OutCalc
Output 3.25.4: Histogram with Annotated Folded Normal Curve
Output 3.26.1: Probability Plot Based on Lognormal Distribution with
ƒ
=0.7
Output 3.26.2: Probability Plot Based on Lognormal Distribution with
ƒ
=0.9
Output 3.26.3: Probability Plot Based on Lognormal Distribution with
ƒ
=1.1
Output 3.26.4: Probability Plot Based on Lognormal Distribution with Estimated
ƒ
Output 3.27.1: Normal Probability Plot Created with Graphics Device
Output 3.27.2: Summary of Fitted Lognormal Distribution
Output 3.28.1: Normal Quantile-Quantile Plot for Distance
Output 3.29.1: Adding a Distribution Reference Line to a Q-Q Plot
Output 3.30.1: Normal Quantile-Quantile Plot of Nonnormal Data
Output 3.31.1: Lognormal Quantile-Quantile Plot (
ƒ
=0.2)
Output 3.31.2: Lognormal Quantile-Quantile Plot (
ƒ
=0.5)
Output 3.31.3: Lognormal Quantile-Quantile Plot (
ƒ
=0.8)
Output 3.31.4: Lognormal Quantile-Quantile Plot (
ƒ
=est,
=est,
=5)
Output 3.32.1: Lognormal Q-Q Plot Identifying Percentiles
Output 3.33.1: Two-Parameter Lognormal Q-Q Plot for Diameters
Output 3.34.1: Three-Parameter Weibull Q-Q Plot
Output 3.34.2: Two-Parameter Weibull Q-Q Plot for
= 24
Previous page
Table of content
Base SAS 9.1 Procedures Guide, Volumes 1, 2, 3 and 4
ISBN: 1590472047
EAN: 2147483647
Year: 2004
Pages: 74
Authors:
SAS Publishing
BUY ON AMAZON
Software Configuration Management
A Practical Approach to Configuration Verification and Audit
Configuration Change Management
Appendix G Sample Inspection Plan
Appendix J Document Change Request (DCR)
Appendix W Physical Configuration Audit (PCA) Checklist
Introduction to 80x86 Assembly Language and Computer Architecture
Branching and Looping
String Operations
Decimal Arithmetic
Appendix B Useful MS-DOS Commands
Appendix E 80x86 Instructions (by Opcode)
Competency-Based Human Resource Management
Competency-Based Employee Recruitment and Selection
Competency-Based Employee Training
Competency-Based Employee Development
Appendix A Frequently Asked Questions About Competency-Based HR Management
Appendix B Further Suggestions on Employee Development
Junos Cookbook (Cookbooks (OReilly))
Creating an Emergency Boot Disk
Setting Up SNMP Traps
Viewing Routes Learned from a Specific Protocol
Using a Firewall Filter to Count Traffic on an Interface
Verifying that an LDP-Signaled LSP Is Carrying Traffic
VBScript in a Nutshell, 2nd Edition
Global Code
Variables and Constants
VBScript with Active Server Pages
WSC Programming Topics
Section A.6. Date and Time
GDI+ Programming with C#
Your First GDI+ Application
Transformation with Pens
A Real-World Example: Adding Colors, Pens, and Brushes to the GDI+Painter Application
Printing Text
Section A.1. Why Exception Handling?
flylib.com © 2008-2017.
If you may any questions please contact us: flylib@qtcs.net
Privacy policy
This website uses cookies. Click
here
to find out more.
Accept cookies