Hi,
what you ask for is called an aggregation. Gretl has built-in a function 
called aggregate. Here is an example on how to execute the aggregate 
function as well as how to use the agg() function from the PandasPort 
package:
<hansl>
set verbose off
open credscore.gdt
# Group "Income" by binary dummy "Selfempl" and compute the mean
help aggregate  # look at the help function
matrix result = aggregate(Income, Selfempl, "mean")
print result
# Make use of the PandasPort package
pkg install PandasPort  # must be executed once!
include PandasPort.gfn
# Using the package, you can even compute multiple operations
strings operations = defarray("mean", "median")
matrix result2 = agg(Income, Selfempl, operations)
print result2
</hansl>
Best
Artur
Am 22.05.24 um 23:17 schrieb g s:
> Hi all
> 
> I have a report about free to use menu based statistical software.
> 
> Free To Use Statistical Software: Comparing Statistical Analyses
> 
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4105959
> 
> This paper compares some basic analysis (frequencies, means by groups, 
> correlations, OLS regression) among the different programs to make sure 
> they all have the same results.
> 
> I'm looking to add gretl, using the menu version.
> 
> I found frequencies. Highlight variable of interest, then Variable and 
> then Frequency Distribution.
> 
> I'd like to do a means table, means of a continuous variable for each 
> category in a categorical variable. I haven't found how to do that yet.
> 
> 
> I have a csv version of the data set here
> 
https://drive.google.com/file/d/11WIET3s4eMHsB6JQ6hOQBx0SKquGRKKw/view?us...
> 
> One variable is population, which is population by country. Another 
> variable is region, that is, world region. All of the countries are 
> included in some region. How do I get mean population by world region?
> 
> Thanks
> 
> Gene
> 
> 
> 
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