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Fitplot instructions
Fitplot instructions





fitplot instructions

The following table shows how PROC GLM interprets values of the ORDER= option. The change was implemented because the former default behavior for ORDER=FORMATTED often resulted in levels not being ordered numerically and usually required the user to intervene with an explicit format or ORDER=INTERNAL to get the more natural ordering. formatted values, and in order to revert to the previous ordering you can specify this format explicitly for the affected classification variables. Before SAS 8, numeric class levels with no explicit format were ordered by their BEST12. Note that this represents a change from previous releases for how class levels are ordered. In this case, the levels are ordered by their internal value. The exception is the default ORDER=FORMATTED for numeric variables for which you have supplied no explicit format. Note that the ORDER= option applies to the levels for all classification variables. This ordering determines which parameters in the model correspond to each level in the data, so the ORDER= option may be useful when you use CONTRAST or ESTIMATE statements.

fitplot instructions

Specifies the sorting order for the levels of all classification variables (specified in the CLASS statement). Note that this option temporarily disables the Output Delivery System (ODS) seeįor more information. The NOPRINT option is useful when you want only to create one or more output data sets with the procedure. Suppresses the normal display of results. Specifies the length of effect names in tables and output data sets to be characters long, where is a value between 20 and 200 characters. This option decreases disk space usage at the expense of increased execution times, and is useful only in rare situations where disk space is at an absolute premium. Requests that PROC GLM reread the input data set when necessary, instead of writing the necessary values of dependent variables to a utility file. The MANOVA option is useful if you use PROC GLM in interactive mode and plan to perform a multivariate analysis. If any of the dependent variables have missing values, the procedure eliminates that observation from the analysis. Requests the multivariate mode of eliminating observations with missing values. By default, PROC GLM uses the most recently created SAS data set. Names the SAS data set used by the GLM procedure. You can override the default in each of these cases by specifying the ALPHA= option for each statement individually. This value is used as the default confidence level for limits computed by the following options. The value must be between 0 and 1 the default value of results in 95% intervals. Specifies the level of significance for % confidence intervals.







Fitplot instructions