Stata replace if between values

If you need to partial list use the RE Thunderbird application is otherwise - I've spent a fair. File will for the. The initial you wish Windows Server size to.

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The default is to use Stata 'value labels' for the factor levels. The emphasis in this outline is on time series in. Factor variables. Stata convert string to factor. Often when importing data, Stata can mistake a numeric variable for a string variable. When Stata does this, the number will look right when you browse , but attempts to run commands will turn up zero observations. In this case, you want to convert. Convert strings to numerical variables.

We can use the missing function to test if a. To convert them into a Stata date, the example code is shown in the second column. Once the date is converted into a Stata readable format, we need to format the date so that the visual display of the date is human-readable. Converting string variables with numeric values. One method of converting numbers stored as strings into numerical variables is to use a string function called real that translates numeric values stored as strings into numeric values Stata can recognize as such.

The first line of syntax reads in the dataset shown above. The second generates a new variable. When Stata converts the data to wide format, it needs to create new variables, one for each time period, for each of the time-varying variables. One nice feature is that once you have reshaped the data, Stata keeps track of your i and j variables. This allows you to easily convert the data back and. See if the readstata13 package has advantages over the foreign package for Stata file import Consider creating xl.

I've tried converting. In Stata this is often true because Stata treats string-encoded variables as missing and will not use them in analyses. However, anticipating that this may be problematic, Stata offers various commands to change string variables into categorical variables and vice versa. The first case most often occurs when importing data from another source.

The Solution. There are two steps involved to convert the numeric variable to Stata format. The great divide among data types in Stata is between numeric and string variables. Likes: Shares: Stata automatically assigns the value "1" if this condition is "true" and the value "0" if it is not. Note, however, that cases with missing values belong to the latter category they don't have a value of 1 or 2 , so they will be lumped together with persons that are not married.

Note that there is a simple way of creating dummy variables related to the tab command. This method is very simple inasmuch as it creates an indicator variable for each and every different value of the respective variable. To further continue our example, tab marstat, gen marst will create five dummy variables, marst1 to marst5, each representing one of the categories of variable marstat.

Note that cases with missing values in the original variable will be assigned missing values for all of the newly created dummy variables. If "X", do "this", if "Y", do "that" The thrust of what follows here will perhaps not be clear to beginners, and it may never become important for many people. But for some transformation tasks what follows can be very useful. The example I use requires some knowledge of lags treated further below , as this is a context in which the function described here may be particularly important.

It is one of Stata's programming functions, which may however invoked in the context of everybody's work of writing do-files. The function is named cond, which obviously has something to do with "condition". Thus far, you may say: So what? The same result can be achieved with a simple if command. It may also be achieved with the "short" version of generating dummy variables outlined in the previous section, the only difference being that you may use cond with other resulting values than 1 and 0 e.

But the great thing about cond is that it may be used recursively.

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This analysis requires categorical variables as input, and continuous variables as output. However, in the background, it transforms all categorical inputs to continuous with one-hot encoding. Also, some analyses do exist that use both categorical inputs and outputs, such as the chi-square test of independence.

String variables, simply speaking, are variables that contain not just numbers Even though Stata can handle string variables, it is clear in many respects that numeric variables are much preferred. The default is to use Stata 'value labels' for the factor levels. The emphasis in this outline is on time series in.

Factor variables. Stata convert string to factor. Often when importing data, Stata can mistake a numeric variable for a string variable. When Stata does this, the number will look right when you browse , but attempts to run commands will turn up zero observations. In this case, you want to convert. Convert strings to numerical variables. We can use the missing function to test if a. To convert them into a Stata date, the example code is shown in the second column.

Once the date is converted into a Stata readable format, we need to format the date so that the visual display of the date is human-readable. Converting string variables with numeric values. One method of converting numbers stored as strings into numerical variables is to use a string function called real that translates numeric values stored as strings into numeric values Stata can recognize as such.

The first line of syntax reads in the dataset shown above. The second generates a new variable. When Stata converts the data to wide format, it needs to create new variables, one for each time period, for each of the time-varying variables. One nice feature is that once you have reshaped the data, Stata keeps track of your i and j variables.

This allows you to easily convert the data back and. See if the readstata13 package has advantages over the foreign package for Stata file import Consider creating xl. I've tried converting. In Stata this is often true because Stata treats string-encoded variables as missing and will not use them in analyses. However, anticipating that this may be problematic, Stata offers various commands to change string variables into categorical variables and vice versa.

The first case most often occurs when importing data from another source. The Solution. Audi 17 5 1 BMW i 25 4 1 Datsun 23 4 1 Datsun 35 5 1 Datsun 24 4 1 Datsun 21 4 1 Honda Accord 25 5 1 Honda Civic 28 4 1 Mazda GLC 30 4 1 Peugeot Subaru 35 5 1 Toyota Celica 18 5 1 Toyota Corolla 31 5 1 Toyota Corona 18 5 1 VW Dasher 23 4 1 VW Diesel 41 5 1 VW Rabbit 25 4 1 VW Scirocco 25 4 1 Volvo 17 5 1 Did you see that some of the observations had a value of '. These are missing values.

For example, the value of rep78 for the AMC Spirit is missing. Stata treats a missing value as positive infinity, the highest number possible. Buick Electra 15 4 0 Volvo 17 5 1 This code will also yield the same output as above.

We can use if with most Stata commands.