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| Date | Title | Type | ||
|---|---|---|---|---|
| 12/8/05 |
24722 - Simple random sample without replacement Select a random sample where no observation can be chosen more than once. http://support.sas.com/kb/24/722.html, 21KB |
Sample | ||
| 10/15/07 |
24802 - Simple random sample with replacement Select a random sample where an observation can be chosen more than once. http://support.sas.com/kb/24/802.html, 20KB |
Sample | ||
| 12/8/05 |
24764 - Stratified random sample with replacement, unequal allocation Select a random sample of data where the number of observations chosen from each group are of different sizes, with replacement. http://support.sas.com/kb/24/764.html, 23KB |
Sample | ||
| 12/8/05 |
24760 - Stratified random sample without replacement, equal allocation Select a specific number of observations from different groups, where no observation can be chosen more than once. http://support.sas.com/kb/24/760.html, 23KB |
Sample | ||
| 4/29/06 |
24763 - Stratified random sample without replacement, unequal allocation Select a random sample of data where the number of observations chosen from each group are of different sizes, without replacement. http://support.sas.com/kb/24/763.html, 22KB |
Sample | ||
| 12/8/05 |
24762 - Stratified random sample with replacement, equal allocation Select a specific number of observations from different groups, where observations can be chosen more than once. http://support.sas.com/kb/24/762.html, 22KB |
Sample | ||
| 10/26/07 |
24982 - Jackknife and Bootstrap Analyses The %JACK and %BOOT macros do jackknife and bootstrap analyses for simple random samples, computing approximate standard errors, bias-corrected estimates, and confidence intervals assuming a normal sampling distribution ... http://support.sas.com/kb/24/982.html, 58KB |
Sample | ||
| 1/11/06 |
25431 - Selecting a sample of K observations from a data set This example shows how to select a sample of K observations from a data set. http://support.sas.com/kb/25/431.html, 27KB |
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| 8/14/07 |
25034 - Standardize variables The %STDIZE macro standardizes one or more numeric variables in a SAS data set by subtracting a location measure and dividing by a scale measure. http://support.sas.com/kb/25/034.html, 35KB |
Sample | ||
