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RE: st: Identify Categorical/Dichotomous and Continuous Variables

From   "Nick Cox" <[email protected]>
To   <[email protected]>
Subject   RE: st: Identify Categorical/Dichotomous and Continuous Variables
Date   Sun, 5 Oct 2008 18:11:22 +0100

Good advice, but to repeat for Frank and any others puzzled: Stata does
not think of such variables as nominal, indicator, etc. If something is
(say) coded 0, 1 or missing then any user is perfectly entitled to think
of it as an indicator/dummy, etc., but Stata does not think that way.
It's in your mind, not Stata's. 

[email protected] 

Steven Samuels

To turn any variable in Stata into a nominal variable, you create  
indicator variables.  This is what SPSS does when you use a  
categorical variable as a predictor in regression. There are two ways  
of doing this in Stata: a) -xi- or b) -tab- with the -gen()- option.   
statareg3.htm   Section 3.3 for some examples.

On Oct 5, 2008, at 12:33 PM, Nick Cox wrote:

> This is not quite true. In particular, -anova- has an idea of the
> distinction. If you specify that a variable is categorical or
> continuous, or imply that by default, -anova- takes action  
> accordingly.
> But in general, as others have emphasised or implied, Stata puts the
> onus on users to decide how they want variables to be treated. If you
> want -foreign- in the auto data to be a binary response for -logit-,
> that's fine. If you want to average it with -summarize-, that's fine
> too. Sometimes, Stata will refuse to do something on principle; more
> usually, it assumes that you are smart enough to know what you want to
> do.
> # of distinct values is, as Svend will agree, a criterion to be used
> circumspectly. I often deal with rainfall data usually measured by
> convention to a resolution of 0.1 mm. I bet that the number of  
> distinct
> values met in practice is fewer than that in the typical  
> classifications
> of death, disease or economic activity.
> Nick
> [email protected]
> Svend Juul
> As Martin responded: Stata has no formal distinction between
> continuous and categorical numeric variables. However, the
> command
>     codebook, compact
> may tell you what you want. The -Unique- column tells you
> how many "unique" (meaning different) values each variable
> has.
> Frank
> I am new to Stata: moved from SPSS a week ago. I am hoping
> that someone can help me with what I imagine is a simple
> issue. I saved an SPSS file as a Stata one. I am working
> my way through the user guide and the data management
> manual, but I am having difficulty with confirming whether
> Stata recognizes variables as continuous (or scale) or
> categorical/dichotomous (or nominal). In SPSS, you can
> easily identify whether the type of measure is a scale,
> nominal, or string with its drop down menu in the variable
> view. It would be a great help, and I would appreciate it
> very much if someone would tell me the method to confirm
> the data type for categorical/dichotomous and for
> continuous variables? Thank you.

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