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Missing Value Imputation
| Date | Title | Type | ||
|---|---|---|---|---|
| 7/7/09 |
36448 - IML Studio may fail to start when IML is not licensed IML Studio may fail to start even if SAS is installed locally when IML is not licensed http://support.sas.com/kb/36/448.html, 19KB |
Problem Note | ||
| 5/11/09 |
35767 - Listing the same variable twice on the CLASS statement in Proc MI results in Variable number 0 is not on file error message When a variable is listed twice on the CLASS statement the procedure issues the following ERROR message: ERROR: Variable number 0 is not on file XXX The only work around is to remove the second instance of the variable ... http://support.sas.com/kb/35/767.html, 18KB |
Problem Note | ||
| 12/9/08 |
19734 - ROUND=0 option may round to non-zero values in Proc MI Using the ROUND=0 option on the Proc MI statement may result in some values being rounded to non-zero values. To circumvent the problem, apply the ROUND function to the OUT= data set created by Proc MI. http://support.sas.com/kb/19/734.html, 18KB |
Problem Note | ||
| 9/17/08 |
33131 - How do I combine the covariance parameters from PROC MIXED in PROC MIANALYZE? To use PROC MIANALYZE to combine the covariance parameter estimates from PROC MIXED, sort the CovParms data set by the variable COVPARM before invoking MIANALYZE. If you use the SUBJECT= option in the RANDOM statement ... http://support.sas.com/kb/33/131.html, 23KB |
Usage Note | ||
| 8/1/08 |
32815 - What causes an error that either the COVB= data set is missing a variable or that the matrix is not symmetric? In PROC MIANALYZE, the COVB= data set is only needed when you specify the MULT option in either the PROC MIANALYZE statement or in the TEST statement. Otherwise, it is recommended that you remove the COVB= option. ... http://support.sas.com/kb/32/815.html, 20KB |
Usage Note | ||
| 8/1/08 |
32799 - What causes "ERROR: Variable X is not on the PARMS= data set" if my model contains variable X? The most common cause for this error in PROC MIANALYZE is that the CLASSVAR= suboption of the PARMS= option has not been properly assigned. See the table below for a listing of each of the CLASSVAR= values and the ... http://support.sas.com/kb/32/799.html, 20KB |
Usage Note | ||
| 3/14/08 |
17600 - Variables that are not unique in the first 28 characters are not given correct imputed variable names If an input data set used in SAS® Enterprise MinerTM has variable names that are greater than 28 characters, and if two or more variable names are identical in the first 28 characters, the Impute node creates ... http://support.sas.com/kb/17/600.html, 20KB |
Problem Note | ||
| 1/8/08 |
30715 - How do I combine the LSMEANS and differences in LSMEANS from Proc MIXED using Proc MIANALYZE? While PROC MIANALYZE cannot directly combine the LSMeans and their differences from PROC MIXED, the LSMEANS table can be sorted differently so that you can use the BY statement in MIANALYZE to read it in. The ... http://support.sas.com/kb/30/715.html, 20KB |
Usage Note | ||
| 1/8/08 |
30698 - How do I combine the LSMEANS and differences in LSMEANS from Proc GLM using Proc MIANALYZE? While PROC MIANALYZE cannot directly combine the LSMeans and their differences from PROC GLM, the LSMEANS table can be sorted differently so that you can use the BY statement in MIANALYZE to read it in. The following ... http://support.sas.com/kb/30/698.html, 21KB |
Usage Note | ||
| 10/25/07 |
25001 - Compute approximate first and second derivatives for (x,y) data This sample program illustrates how to use PROC EXPAND to compute approximate first and second derivatives for paired (x,y) data. http://support.sas.com/kb/25/001.html, 21KB |
Sample | ||
