Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
sas proc surveyreg class statement | 1.72 | 0.2 | 1930 | 34 |
sas proc reg class statement | 0.44 | 0.1 | 4514 | 27 |
sas proc survey example | 1.68 | 0.2 | 8664 | 75 |
sas proc surveymeans options | 0.24 | 0.4 | 9668 | 74 |
proc surveyselect sas example | 1.33 | 0.2 | 4409 | 20 |
proc surveyselect in sas | 0.42 | 0.4 | 1395 | 6 |
sas proc reg by | 0.15 | 1 | 7452 | 76 |
sas proc reg class | 0.15 | 1 | 5605 | 50 |
sas proc surveylogistic output | 1.32 | 0.8 | 4638 | 3 |
proc statement in sas | 1.01 | 0.9 | 1804 | 60 |
sas proc surveymeans output | 0.85 | 0.2 | 9870 | 100 |
sas proc reg example | 0.05 | 0.5 | 8416 | 17 |
sas proc surveyfreq options | 0.49 | 0.9 | 8670 | 99 |
sas proc report by | 1.91 | 0.7 | 6079 | 8 |
sas proc surveyselect pps | 0.89 | 0.6 | 2228 | 70 |
sas proc surveyfreq syntax | 1 | 1 | 8281 | 27 |
sas proc surveylogistic model selection | 0.16 | 0.7 | 290 | 21 |
sas proc report page | 0.14 | 0.2 | 6263 | 81 |
sas proc surveyfreq output | 1.17 | 0.4 | 9674 | 53 |
By default, PROC SURVEYREG completely excludes an observation from analysis if that observation has a missing value, unless you specify the MISSING option. Note that the NOMCAR option has no effect on a classification variable when you specify the MISSING option, which treats missing values as a valid nonmissing level.
How to use formatted data in Proc surveyreg?The PROC SURVEYREG documentation talks about using formatted value and using the ORDER= options on the SURVEYREG statement. - use proc format tricks. e.g., your data is rece = '1','2','3','4', '4' would be used by default as you noted.
What is the default baseline for class in surveyreg?Let's say that class is a four-level categorical variable with race = 1 being white, race = 2 being black, race = 3 being Asian, race = 4 being Hispanic. It seems like proc surveyreg will use the highest value of race (race = 4, Hispanic) as the default baseline, but I'd like to set the default to be another level (say, race = 2 or black).