Introduction to Stata 8

11. Description and analysis
This section gives information on the simpler statistical commands with examples of output.
summarize [R] summarize
summarize gives an overview of variables. It is useful for an initial screening of the data,
especially the Obs column giving the number of non-missing observations, and the Min and
Max columns.
. summarize
Variable | Obs Mean Std. Dev. Min Max
---------+-----------------------------------------------------
id | 37 19 10.82436 1 37
type | 37 1.891892 .9656254 1 4
price | 35 46.58 16.3041 11.95 78.95
rating | 35 2.514286 .9194445 1 4
Obtain detailed information on the distribution of selected variables by the detail option:
summarize price , detail
Find the nice modification summvl, also displaying variable labels, by: findit summvl.
. summvl
Variable Obs Mean Std.Dev Min Max Label
-------------------------------------------------------------------------
id 37 19 10.8244 1 37 identification number
type 37 1.89189 .965625 1 4 type of wine
price 35 46.58 16.3041 11.95 78.95 price per 75 cl bottle
rating 35 2.51429 .919444 1 4 quality rating
list [GSW] 11; [R] list
Case listings are useful to examine data, to check the result of calculations, and to locate
errors. The following lists sex-age for the first 10 observations. Codes rather than value labels
are displayed.
list sex-age in 1/10 , nolabel
Stata's listing facilities are clumsy when you want to list many variables simultaneously. Find
and install the useful alternative slist by: findit slist.
11.1. Categorical data
tab1 (simple frequency tables) and tab2 (crosstables) are both described in [R]
tabulate.
tab1
tab1 gives one-way tables (frequency tables) for one or more variables:
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