tabstat: compact tables of selected statistics

Choose the statistics that matter for several variables, then repeat the same summary within groups.

Tested 2026-08-06 with the current stats.camp development build · View the do-file on GitHub

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Complete example

clear
import delimited "data/student_scores.csv"
tabstat math read write, statistics(count mean sd min max)
by race: tabstat math, statistics(count mean sd)

The first command compares three variables in one table. The second uses the supported by prefix to calculate the same math statistics separately for each race code.

Output from stats.camp

    Variable |     Count       Mean  Std. Dev.        Min        Max
-------------+------------------------------------------------------
        math |        24     57.375   7.654567         43         72
        read |        24  56.166667   6.349712         44         68
       write |        23  57.652174    6.69877         46         70

race  Variable  Count       Mean  Std. Dev.
1     math          6  50.500000   6.534524
2     math          6  60.500000   5.128353
3     math          6  54.333333   5.391351
4     math          6  64.166667   6.047038

How to read the result

The writing count is 23 because one value is missing; its other statistics use the same 23 nonmissing values. Each race group contains six math observations, and the group means range from 50.50 to about 64.17.

Group labels in these synthetic data are codes, not meaningful real-world categories.

Common options and current limits

statistics() supports count, mean, median, sum, standard deviation, variance, range, minimum, maximum, selected percentiles, IQR, skewness, and kurtosis.
Use by groupvar: for grouped output in the current implementation.
The official by() and format() options are currently accepted by the parser but not applied; the compatibility entry is marked partial.
Weighted output is currently limited to supported count, mean, sum, minimum, and maximum calculations.

See the current tabstat entry and Stata's tabstat manual for the broader official behavior.

Related guides

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