The “display format” column contains format information about each variable which only control how the variables are displayed in data view. (This limit is irrelevant, again, see compress for details.) str18 shows that make has a maximum of 18 letters. String variables are represented as str# where the # represent the number of characters that the string can be, e.g. We’ll touch on the differences between these when we discuss compress, but for now they all represent numeric variables. The “storage type” can be one of byte, int, long, float, double all of which are simply numbers. Next, there is a table listing each variable in the data and some information about them. This displays a large amount of information, so let’s break in down.įirst, the header displays general data set information - the number of observations ( obs, the number of rows) and variables ( vars). The first command you should run is describe.Ĭontains data from /Applications/Stata/ado/base/a/auto.dtaĭisplacement int %8.0g Displacement (cu.
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#STATA 12 SE MAXIMUM VARIABLES FULL#
I only recommend it’s use when exploring the data using the Command window when writing a Do-file, use the full variable name to prevent errors! Stata will error if you don’t use enough characters:īe very careful with this approach. We’ll see in a minute more about the describe command, but for example, We will discuss the order command later to re-order variables.įinally, you often don’t need to give the entire name of the variable, just enough characters for Stata to be able to uniquely identify it (similar to short names). This includes both x1 and x25, as well as any variable in between them.
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We could refer to the whole list of them as x1-x25. Say the variables x1 through x25 are in ordered in the logical fashion.
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It can also be used in the middle or beginning, e.g.: However, be careful, as this would also match variables such as turnips, tprice, t, etc, if any such variables existed. For example, we could refer to the variables “turn” and “trunk” as t*, as both variables start with “t” and are followed by anything. Thankfully there are two alternatives.įirst, we can use the wild card * 4. Writing out all the variables can get very tedious as the number of variables increases. When we discussed basic command syntax, we said that the optional list of variables can include any number of variables (for some commands). In this chapter we’ll go over various tools and commands you can use to answer these questions (and more) and overall to gain a familiarity with the logistics of your data. You’ll notice that there are no statistical questions here - we’re not even worried about those yet! These are merely logistical. Which variables are continuous (can take on any value in some reasonable range, such as weight) vs which are categorical (take on a set number of values where each represents something). If the data is repeated measures in some form (multiple rows per person, or data is students across several classrooms), what variable(s) identify the levels and groups?Īre there any variables which are strings (non-numeric) that you plan on using in some statistical analysis (and will need to be converted to numeric)? Is there a variable which uniquely identifies each unit of analysis? What is the unit of analysis? (What does each row represent - a person? a couple? a classroom?) How many observations does your data have? You should be able to answer the following questions (even if some of them are approximations): Whenever you first begin working with a data set, you’ll want to spend some time getting familiar with it.
#STATA 12 SE MAXIMUM VARIABLES FREE#
Feel free to make frequent use of preserve and restore. You can reload it as necessary (if you modify it and want the original) by re-running this with the clear option. Throughout this chapter, we’ll be using the “auto” data set which is distributed with Stata. 5.8.2 Converting strings into labeled numbers.5.8.1 Converting between string and numeric.
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