Download macro-call files fernandez

Showing results for. Search instead for. Did you mean:. Bookmark Subscribe. The steps for performing the user-friendly SAS macros are: Step1 : Create a SAS data or an excel sheet like the example data file included with the zip file. This data should contain the following variables: Variable Genotype GEN , which is a categorical variable. Response means under unstressed Yp and stressed environment Ys that are continues variables.

Treatment variable: Categorical variable identifying different level of stress treatments. Step 3. Submit the SAS macro call file. Article Labels. Fernandez GCJ, HortScience 26 : — Genotype by environment interaction effects on winter rapeseed yield and oil content.

Crop Sci 32 : — Shafii B and Price WJ, Analysis of genotype-by-environment interaction using the additive main effects and multiplicative interaction model and stability estimates. J Agric Biol Environ Stat 3 : — Tai GCC, Genotypic stability analysis and its application to potato regional trials.

Crop Sci 11 : — Statistical analysis of a yield trial. Agron J 80 : — Oxford University Press is a department of the University of Oxford. It furthers the University's objective of excellence in research, scholarship, and education by publishing worldwide. Sign In or Create an Account. Sign In. Advanced Search. Search Menu. Article Navigation. Close mobile search navigation Article Navigation. Volume Article Contents Abstract. Results and Discussion. Thillainathan , M. Address correspondence to George C.

Fernandez at the address above. Oxford Academic. Google Scholar. The name should match the variable names in the data. You can include multiple responses. Descriptions and Explanation : To start the variable pre-screening mode, enter yes. This field should be left blank to run all other model selection steps. Descriptions and Explanation: Input any numeric and categorical character to track the number of the analysis that you are running using this data.

Descriptions and Explanation : In case of repeated measures data, input the subject variable name. This forces the pre-screening to do initial selection at the subject level. Descriptions and Explanation : Option for viewing and saving all output files in a folder specified in input number All graphic files are saved as PNG format in the user-specified folder.

Descriptions and Explanation : Input the full path of the folder containing the source data file. Descriptions and Explanation: To save the SAS graphics, data, and output files, input the output folder name. If the 14 field is left blank, the output files are saved in the default folder. The best covariance structure can be identified from different. In this example, four.