Type The type of variable e. Wend, in the end they all do basically the same thing. I'm not sure if I understand this question, but in theory all loops are valid in any situation, it depends on your preference. Note that this is not the same as the number of digits displayed for each value. Define the same set of labels for more than one numeric variable e. H Label: Allows you to add a label for the selected variable that describes more about what the variable is.
The question was: If already input four value labels, but now another value has appeared that didn't exist before and I need to add the new value label, is there a way to add the new label without having to re-enter the existing ones? This is the default assignment for variables. Note: If a variable already has defined missing values e. The Value Labels window appears. Example: In the sample dataset, the variable Rank represents the student's class rank. You can alter the number of digits after the decimal place by clicking in the appropriate Width cell. Modify or add a single variable label.
A square button will appear; click on it. It is good custom though to declare you objects according to an explicit datatype in because the variant type is expensive in terms of memory. Note: The count is based on the specified number of scanned cases B. The names in this column must not start with a number. For example, we are going to rename variables faminc1— faminc5 to be test1— test5.
Width The number of digits displayed for numerical values or the length of a string variable. Type the first possible value 1 for your variable in the Value field. Renaming variables takes affect immediately after you run your command. Click Continue when you have finished selecting variables. Please note that there will be a mean for observation 9 even though it has a missing value for science.
These attributes are supplementary information not otherwise specified by the variable's label, measurement labels, and missing values. The current Measurement Level and Role for each variable is also displayed. You can define information about your variables by accessing the Variable View tab at the bottom of the Data Editor window. On similar lines, it occurs to me that Stata should have something on the lines of the make. Type your new variable name.
One way is to use a numeric expression. Renaming a variable simply changes the name of that variable while leaving everything else the same. We are going to change the prefix and still use the same index order. First we use the -tabulate- command to see the frequencies of this variable. This label is for the variable rather than for the values of the variable.
For example, we might want to change the 5s to missing. First, I do not know how exactly your variable names look like, as you are not very specific about this. Incorrectly specifying measurement level can have unintended and potentially disastrous effects on your results. In our example below, neither the variable labels 1 nor the value labels 2 have been assigned for any of our four example variables. Note the period at the end of the last line. This method has the advantage of taking you to the specific variable you clicked.
Example: If you specify that values should have two decimal points, they will display as 1. If you are not using an up-to-date Stata, you should be flagging that in your posts. Depending on the type you select for your variable, you may be asked to supply additional information. You can give a text label for category codes by clicking on the appropriate cell in the column values. You can also see the suggested level of measurement for your selected variable. But what do these values mean? Measure The level of measurement for the variable e. Note that when you change the name of a variable, it does not change the data; all values associated with the variable stay the same.
Without this information, your data will be much harder to understand and use. The above two examples works fine however, if we really want to trim down our code, we can use one more short-cut by only using the Value Label command once and then applying the labels to each variable. Make changes to the selected value or label as needed. As we mentioned at the beginning of this tutorial, it is important to define the variables in your data so that you and anyone else working with your data can easily understand what was measured, and how. You can copy the properties from another variable to the currently selected variable, or copy the properties of the currently selected variable to one or more other variables. Value: The values for the selected variable. Let's define the category labels for the Rank variable in the sample data.