Sorry for not answering earlier.
You mention some open issues.
Let me ask some more questions to clarify these.



Leonard Mada wrote:
> Dear Prof. Neuwirth,
> depth). Mainly three issues remained uncovered: a.) converting input
> data/vectors to factors (is useful sometimes), 

It you transfer a variable to R and then just apply the function factor
in R, it is converted to a factor.
Do you need more functionality?


b.) importing data as
> matrices (for contingency tables, e.g. for a Fisher exact test) and 

I assume by importing you mean import into the spreadsheet.
The basic unit for data transfer in our framework is an array
of a single underlying scalar type. (character, (real) number,
complex number, time&date). So transferring a matrix in either direction
is there. There is, however, one major concern.
Spreadsheet programs don't care too much about missing values.
I have not looked into the details of this in Calc, but I think
that it is important to be careful about this problem in the interface.

c.)
> converting a data range to multiple vectors vs independently selecting
> the data ranges for the multiple vectors. 

When a range is transferred as a dataframe, in R you can immediately
access the columns as vectors. What kind of additional functionality
do you think is needed?


-- 
Erich Neuwirth, University of Vienna
Faculty of Computer Science
Computer Supported Didactics Working Group
Visit our SunSITE at http://sunsite.univie.ac.at
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