Search results
The list command below illustrates how missing values are handled in assignment statements. The variable sum1 is based on the variables trial1, trial2 and trial3. If the value of any of those variables were missing, the value for sum1 was set to missing. Therefore sum1 is missing for observations 2, 3, 4 and 7. list
Jul 13, 2012 · For me, the problem was that I had some end-of-line # ... comments embedded within a define ... endef multi-line variable definition. Removing the comments made the problem go away. Share
Missing values for string variables cannot exceed eight bytes. (There is no limit on the defined width of the string variable, but defined missing values cannot exceed eight bytes.) To define null or blank values as missing for a string variable, enter a single space in one of the fields under the Discrete missing values selection.
Missing data refers to the absence of data entries in a dataset where values are expected but not recorded. They’re the blank cells in your data sheet. Missing values for specific variables or participants can occur for many reasons, including incomplete data entry, equipment failures, or lost files. When data are missing, it’s a problem.
Missing values are represented via the missing object, which is the singleton instance of the type Missing. missing is equivalent to NULL in SQL and NA in R, and behaves like them in most situations. Propagation of Missing Values. missing values propagate automatically when passed to
Jun 6, 2024 · missing and unable to be confirmed as captured or killed following military action —often used figuratively for someone or something notably or… See the full definition Menu Toggle
Apr 30, 2016 · Here, a relapse is defined as a score below a certain threshold. As I have missing data on these waves, and as the DEFINE command is run before FIML is being used, I wanted to use multiple imputation. However, I can't run the DEFINE command in combination with type=imputation either, because I get a different number of 'sustainers' and ...
