Learning SAS in the Computer Lab, 3rd Edition
- Rebecca J. Elliott
- Christopher H. Morrell
- ISBN-10: 0495559687
- ISBN-13: 9780495559689
- 320 Pages | Paperback
- Previous Editions: 2000, 1995
- COPYRIGHT: 2010 Published
LEARNING SAS IN THE COMPUTER LAB, 3RD EDITION, gets students up and running quickly with SAS. Explaining concepts and commands in clear steps, the authors provide SAS basics so students can successfully apply computing techniques to all types of statistics problems and acquire an appreciation of data analysis. This brief, affordable manual also ensures that students learn enough about programming with SAS to be able to find their way around the many SAS reference manuals that they will use in their professional activities.
1. THE BASICS.
Data Set Structure. Data Steps and PROC Steps. The Data Step. PROC PRINT. The Input Statement. Comparison of Character Formats. SAS Program, Log, and List Files. Problems.
2. MORE SAS BASICS.
Subsetting If. If. . . Then . . . Else Statements. PROC FORMAT. Subsetting Where. Using Data from Outside Files. Missover Option on Infile Statement. PROC IMPORT for Microsoft® Excel Files. PROC SORT. Set Statement. Problems.
3. DATA MANAGEMENT.
How SAS “Thinks.” Lag Function. Drop and Keep Statements. Combining Data Sets. Comment Lines. Limiting the Number of Observations Read from External Files. Setting the Size of the Output. The Put Statement. PROC EXPORT for Microsoft Excel Files. Problems.
4. SAS FUNCTIONS.
Numeric Functions. Character Functions. Probability Functions. Descriptive Statistics Functions. Problems.
5. DESCRIPTIVE STATISTICS I.
Label Statements. Title Statements. PROC UNIVARIATE. PROC BOXPLOT. Problems.
6. PROC GCHART.
PROC GCHART. Problems.
7. DESCRIPTIVE STATISTICS II.
PROC MEANS. PROC FREQ. Problems.
8. GENERATING RANDOM OBSERVATIONS.
SAS Distributional Functions. Do Loops. Problems.
9. X-Y PLOTS.
PROC GPLOT. Problems.
10. ONE-SAMPLE TESTS FOR µ, P.
One-Sample t-Tests. One-Sample Test for P. Problems.
11. TWO-SAMPLE T-TESTS.
PROC TTEST. T-Tests: Two-Sample, Pooled, and Paired. Problems.
12. ONE-WAY ANOVA.
Analysis of Variance—PROC GLM and PROC ANOVA. Problems.
13. TWO-WAY ANOVA AND MORE.
Two-Way ANOVA. General ANOVA Analysis. Problems.
14. MODEL CHECKING IN ANOVA.
Plots for Model Checking. More on PROC GLM. Problems.
PROC CORR. Problems.
16. SIMPLE LINEAR REGRESSION
PROC REG. Problems.
17. MODEL CHECKING IN REGRESSION.
Plots for Model Checking. More on PROC REG. Problems.
18. MULTIPLE LINEAR REGRESSION.
Multiple Regression. Problems.
19. MULTIPLE REGRESSION: AIDS FOR SELECTING AND ASSESSING MODELS.
Statistics Used in Multiple Regression Model Checking. PROC REG Selection = Option. Problems.
20. TESTS FOR CATEGORICAL DATA.
Chi-Square Tests. Problems.
21. NONPARAMETRIC TESTS.
One-Sample Tests. Tests for Two or More Samples. Problems.
22. ANALYSIS OF COVARIANCE.
Using PROC GLM for ANCOVA. Problems.
23. LOGISTIC REGRESSION
PROC LOGISTIC. Problems.
24. MATRIX COMPUTATIONS.
PROC IML. Problems.
25. MACRO VARIABLES AND PROGRAMS.
Macro Variables. Macro Programs. Problems.
DESCRIPTION OF DATA SETS.