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#Stata 13 foreach rename variables code#
The code before this final edit did not provide the sought-after results. The code reproduces the results that would follow from the code of the original post. It uses joinby (new observations are created and depending on the size of the original database, you may or not hit the Stata hard-limit on number of observations). If I understand the wording of the problem correctly, maybe this can help. Qui: bys refgroup: gen intermediate`i' = price -price if price > price These limits may see high, but if you merge multiple datasets, each with a large number of variables, you may exceed the limit for your type of Stata. clear allīysort refgroup : egen pricerank = rank(price) In Small Stata the limit is 99, in Stata/IC the limit is 2,047 and in Stata/SE and Stata/MP the limit is 32,767. So for -var1- the new name would be the value of word (var1 1, 1) Nick On Thu, at 10:13. The recipe then is to use the first word of the value in the first observation. The idiosyncratic detail is that is a placeholder for each variable name in turn. I thought about summing the differences directly without saving them in intermediate variables, but that also blow up the numlist restriction. Better code is renvars, map (word ( 1, 1)) This should be more transparent.
#Stata 13 foreach rename variables how to#
I would like to ask if someone has an idea how to code this more efficiently, so that I can get around the numlist restriction. The toy example with the auto dataset works, due to small size of the dataset. However, the code didn't work perfectly for me, because my dataset is quite large (several 100K obs) and the examples on the website and my code only work until the numlist maximum of 1600 in Stata. In creating this code I found some help here: The findit command has become superflous starting in Stata 13. Then I would like to sum all these differences. Chapter 3 focuses on numeric variables and the various ways to label, describe, clean. Stata can handle this using standard commands (see 'My date variable is a string, how can I turn it into a date variable Stata can recognize'), we are using this as an example of what you could do with regular expressions. In this example, we have dates entered as a string variable. I do not want to have negative differences. Example 3: Two- and four- digit values for year.
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So within each reference group, I would like to take each individual and subtract its price value from all higher price values from other individuals in the same group. In this toy example I would like to create a measure of all higher prices minus lower prices within a self-created reference group.
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I created a toy example of my code below. We use the foreach command to make the renaming process more efficient. We choose to rename all variables from person1, except for the id variable (this is for matching purposes), by adding the suffix 'person1' via the rename command.
This method creates a new macro newcroplist containing variable names pkgmz pkggmz pkgsp pkgsptc pkgmil pkgcof pkgsuk pkgtea pkgric, then uses rename to rename variables following the pattern pkgI created a foreach loop to rename the variables so that they are now in the pattern: lsat year (i.e. However, in the large dataset we must distinguish the data input by person1 and person2. As of Stata 12+, rename can handle this case in several ways. Remarks and examples Example 1 rename allows you to change variable names. Also seeD rename group for renaming groups of variables. ap6801 contains the respondents' life satisfaction for the year 1985, bp9301 contains it for 1986, and so on. rename old varname new varname Menu Data > Data utilities > Rename groups of variables Description rename changes the name of existing variable old varname to new varname the contents of the variable are unchanged. The variables are originally named in this format: ap6801 bp9301 cp9601 dp9801 and all the way to zp15701. There are 26 variables for the respondent's life satisfaction (for 26 years). I am working with a panel dataset containing the life satisfaction of interviewees in a survey.