SAS programs that have been discussed in class are included here. You can copy a program to your PC or vincent account by following the link to the program (so that you are looking at the program), then selecting SAVE AS from the FILE menu.

You can copy the file to the SAS program editor window by selecting Open from the SAS File menu, moving to the appropriate directory, selecting the program, then clicking OK.

• Power.sas Proc power for 2 sample, 1 sample t-tests, and contrasts
• Tomato.sas SAS program for tomato data, using infile for input
• Tomato2.sas SAS program for tomato data, using datalines for input.
• Salinity.sas Estimation of variance components using PROC MIXED. Test of variance component=0.
• blockex.sas Analysis of block design using data from Mead, Curnow and Hasted, example in section 5.3. Illustrate fixed blocks analysis using prog glm; Data from two treatments in 10 blocks. Uses data in mead53.txt (one row per observation)
• brome.sas Analysis of a Latin Square, using as example a study of management of a rare plant, a species of brome grass. Uses data in brome.txt.
• brome2.sas Analysis of multiple Latin Squares, using made-up data based on the brome grass study. brome2.txt.
• blockex2.sas Analysis of block design using random blocks. Data is mead53.txt (one row per observation), just as above.
• blocks2.sas Plot observations against block means. Use of residual plots in block designs. Illustration of log transformation and multiplicative blocks. Uses data in multblock.txt
• Food.sas 1 way ANOVA using proc glm
• food2.sas 2 way ANOVA, with means, lsmeans, estimates, and slicing of interaction. Requires data in food2.txt.
• foodmeans.sas Plot an interaction plot. That means: compute means for each cell in a two-way factorial treatment design. Plot means against levels of one of the two factors, labeling points by the value of the second factor.
• alfalfacut.sas Analysis of alfalfa cutting experiment used as class example of a split plot study. Requires data in alfalfacut.txt
• asparagus.sas Analysis of balanced repeated measures. Illustrates one variable at a time, summary statistics and MANOVA approach. Requires data in asparagus.txt.
• asparagus2.sas Analysis of repeated measures by modeling the correlation structure in proc mixed. Illustrates split-plot in time analysis, AR(1), AR(1)+RE and other correlation models using mixed. Requires data in asparagus.txt.
• asparagus3.sas Optional SAS macro for fitting many different correlation structures and reporting fit measures (AIC, AICc, and BIC) for correlation structure.
• trigly.sas Analysis of triglyceride study used as example of multi-location/multi-year study. Requires data in trigly.txt
• camp.sas Analysis of covariance for data with baseline values. Requires data in camp.txt

Extra SAS programs that could be useful:

• excel.sas Examples of various ways to read data from an excel spreadsheet into SAS.
• calfshape.sas SAS program to reshape data by transposing it.

• Plan.sas SAS code to randomly assign treatments to experimental units, in a CRD and in a RCB
• Plan2.sas SAS code to randomly assign treatments. Produces much nicer output than plan.sas

• spatialwheat.sas Analysis of spatial data using a spatial correlation model. Requires data in alliance.txt. <\ul>