Normally, the value of gamma is positive. In that case, the number itself becomes the equality criterion. In that case, the default is The constant delta is a number between 0 and 1 that specifies a value to add to the denominator when calculating the equality measure. By default, is 0. By default, a missing value is equal only to a missing value of the same kind, that is. B, and so on. You can use this option to determine the changes that would be made to the observations in the comparison data set if it were used as the master data set and the base data set were used as the transaction data set in a DATA step UPDATE statement.
You can use this option to determine the changes that would be made to the observations in the base data set if it were used as the master data set and the comparison data set were used as the transaction data set in a DATA step UPDATE statement. SAS-data-set contains the differences between matching variables. The option also writes observations to the output data set that contains the differences and percent differences between the values in matching observations.
The procedure generates new variable names by using the prefix and the percentile values. If the specified percentile is an integer, the variable name is simply the prefix followed by the value. If the specified value is not an integer, an underscore replaces the decimal point in the variable name, and decimal values are truncated to one decimal place. If you request percentiles for more than one variable, you should list prefixes in the same order in which the variables appear in the VAR statement.
If combining the prefix and percentile value results in a name longer than 32 characters, the prefix is truncated so that the variable name is 32 characters.
The following examples use the method to change the displayed precision for just two particular tables from two procedures. In the following example, the Parameter Estimates table reports p -values of 0. For the parameter estimates, only 2 decimal places are desired. The table name is needed in this statement to specify which table is to be written to a data set.
See this usage note on how to determine table names. Consequently, you can programmatically access each element of the output. The implications of the previous statement are monumental. The data are the vehicles in the Sashelp. Cars data set, which is distributed with SAS:. By looking at the output, you can see that the third table contains the R-square value. Notice that the data set often looks different from the original displayed table.
The data set contains non-printing columns like Model and Dependent that do not appear in the displayed table. The data set also contains columns that contain the raw numerical values and the formatted character values of the statistics. The columns cValue1 and nValue1 represent the same information, except that the cValue1 is a character column whereas nValue1 is a numerical column. The same applies to the cValue2 and nValue2 columns.
The character values might contain formatted or rounded values. Storing the statistic in a macro variable is only one way to use the data set. The previous sections show how to save a single table to a SAS data set.
It is just as easy to create a data set that contains multiple statistics, one for each level in a BY-group analysis. Suppose that you want to run several regressions, one for each value of the Origin variable, which has the values "Asia," "Europe," and "USA.
The sorted data is stored in the CARS data set. When you run a BY-group analysis, you might not want to see all of the results displayed on the computer screen, especially if your goal is to save the results in an output data set.
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