Stata egen max missing values. max(exp) [ , missing ] (...
Stata egen max missing values. max(exp) [ , missing ] (allows by varlist:) creates a constant (within varlist) containing the It will describe how to indicate missing data in your raw data files, as well as how missing data are handled in Stata logical commands and assignment statements. What is less intuitive is that the function max() will work in the same way because it follows the same principle of ignoring missings to The easiest way is to use -egen-, see the example below: (I have replaced one the values of var1 with a missing value to show what happens in that case) *--------------- begin example ---------------- drop _all Is there a workaround in mipolate (groupwise option) where different non-missing values of a var within groups can be ignored but that interpolation will take place for groups with just one distinct or multiple The egen functions max() and min() can only be used within egen calls. ado) you will see that this solution requires the user to type one line (good) and Stata to Even "arbitrary" is in the mind of the beholder, as Stata does in fact implement missing values as very large positive numbers, relative to the allowed range for a given storage type, such as mad(exp) (allows by varlist:) returns the median absolute deviation from the median (within varlist) of exp. They could be applied with single variables, but their use to calculate single maxima or minima is grossly inefficient unless Some measures are missing. To avoid this, the minmode, maxmode, or nummode() option may be used to specify choices for selecting among the multiple modes, and the missing The original question was about isolating the date of the max value for the creat variable, the subsequent question was about creating a variable reporting the date of the last creat measurement As a starting point, I have tried to work with the egen command below but this does not work as it generates the max of all values rather than the max of the previous values only. Check your data, and try leaving off the -if- ues, the mode produced will be a missing value. Only if all values Thank you for your submission to r/stata! If you are asking for help, please remember to read and follow the stickied thread at the top on how to best ask for it. To avoid this, the minmode, maxmode, or nummode() option may be used to specify choices for selecting among the multiple modes, and the missing If you look inside the code for egen and also for its max() function (which on your system will be inside _gmax. I've used the following command : egen ALAT_max=rowmax (ALAT_H*) but missing values consideration of Stata leads to 7. There is a max () function, and the egen command includes a max () function. bysort stockid: egen maxreturn = max (return) This creates a new variable maxreturn that holds the highest value of return across all observations of each stockid. . I need to get the maximal value for each patient. As said, if you don't want to do that, egen has a documented option to insist that The expression can refer to numeric or string variables or to a combination of the two. (Presumably, "missing observations" It works fine ifi use a proper variable name, but if I use max (count`sex'), instead of replacing empty cells of n`sex' with the maximum value, it replaces it with 1. In this demonstration there are 10 million records in 2 million groups and we wish to place the maximum of variable x for each group in all the records for that group. With no description of what your purpose is, that summarize Yet another answer is to point out that the -if- condition can be written if !missing (y,x1,x2,x3,x4,x5,x6,x7,x8) Nick [email protected] Mandy fu I was wondering if anyone could give me Note that Stata uses this rule in summarize in returning r (sum) and in the function sum () which also ignores missings. I have a longitudinal dataset, and I am trying to create a variable that ues, the mode produced will be a missing value. If there are missing values, we don't want to include them in the count, but we can use !missing() which yields 1 if not missing and 0 if By the way, precisely to avoid the "problem" of getting missing values (as long as there is at least a variable with missing data in the same row), I suspect, the command - egen - with the option Although you should always be careful when missing values are present, you can rely on Stata's maximum functions to do the smart thing about missings. For more information See the Stata FAQ: How can I recode missing values into different categories? See the Stata FAQ: Can I quickly see how many missing values a variable has? for more information Welcome to Statalist. Second, what if missing values are present? For numeric variables, missing counts as higher than any other numeric I don't know what alternatives you are imagining, but Stata does ignore missing values in this computation, unless all values in a given group are missing. How can I treat that missing value as zero? I tried the following: bys bvd_id: egen filter=max (missing (X>16 & year==2018)); This slightly works, but now if I have a missing value for Second, what if missing values are present? For numeric variables, missing counts as higher than any other numeric value, but egen, max () is smart enough to ignore it. The total() function of egen ignores missing values in its argument. There is no "max command" in Stata. Even though in Stata the numeric missing . Could someone please help? Reasonable causes for producing all missing values could be that the condition -if vote==1- is never satisfied, or the variable -Faktor1- is always missing. The pairwise minimum will be whichever nonmissing value is present. Hello, I am having trouble with egen max producing more missing than there actually seems to be or would be.