Use the button on the formatting toolbar, between the ' (double quote) and <> buttons.
With the aid of the QoG Basic dataset we will look at some examples of how these conditions can be used in a range of applications. When presenting code or results, please use the code delimiters format them. The if qualifiers are entered in the command after the list of variables, and before options. Or we could use a condition to select people that are under 22 years old, OR have never voted in a parliamentary election. The XLIST command in the main language versions of AutoCAD: In AutoCAD since version R14. If we for instance work with data on persons, we can create a condition that requires the person to be 25 years old AND unemployed, for instance. The two last, "and" and "or" can be used to link several conditions. They are also used in a lot of other softwares. The conditions use a set of "logical operators," building blocks by which we can construct both simple and advanced conditions. We might for instance want to recode only a subset of observations, run an analysis on a small part of the dataset, and so on. These are conditions that tell Stata which observations that should be included in the command. View the entire collection of UVA Library StatLab articles.Almost all commands in Stata can be combined with so callded if qualifiers. If you are working with a big dataset, you may not want to list too much information to your output. In this case, the census.dta is a small dataset with only 50 rows/observations in it, and I eliminated 33 observations so I know I only have a fairly small number of cases to be listed in the output. You may want to be careful when using the `list` command. * drop the rows/states with population less than the mean Statas matrix commands are very easy (and can always be referenced in the. When you ask for the results from this regression, using ereturn list. For example, we can keep the states in the South. Many of Statas commands are able to leave their results behind in matrices. We first edit the labels of the variable collgrad. This data is one of the many data sets used for training purposes. We use the NLS data which is based on the National Longitudinal Survey of Young Women 14-26 years of age in 1968. We can also use -keep- and -drop- commands to subset data by keeping or eliminating observations that meet one or more conditions. Stata 17 offers a new and exciting way to create and customize tables using the commands table and collect. So here I save it as a new file called slist. That will return the results on the command line and you'll be able to read the whole name. You may want to be careful when you save this change, as you will permanently lose all the other variables that are not in the keep list. I should have caught that but I haven't used the dialog version in years for that reason. Note that this change only applies to the copy of the data in the memory, not the file on disk – you need to use the -save- command to make change to the file itself. ![]() Now that you should only see the three variables remain in the data. Say we would like to have a separate file contains only the list of the states with the region variable, we can use the -keep- command to do so. Marriage long %12.0gc Number of marriages State2 str2 %-2s Two-letter state abbreviation ![]() ![]() Variable name type format label variable label Contains data from /Applications/Stata/ado/base/c/census.dta
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