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Don't know why you'd want to go to this effort to save a single menu
driven operation (save as), but at least as a start it seems ...
That asterisks are Section delimiters (e.g., *** Header Start *** and ***
Header Ends *** ... or *** LogFrame Start *** and *** LogFrame End ***);
within all Sections each line records a variable name and value; that the
colon (:) delimits variable name and value per line within Sections; and
that Level numbers in the colon delimited format occur on lines between
asterisk delimited section End and Start statements. The Experiment
structure exists as a hierarchy of n levels: (descending ...) Session
(Experiment) / Block / Trial/ ... withSubTrial elements 1 ...n ...
or something like that. SubTrial elements are logged attributes from a
trial sequence, and in my sample file all occur as children of Level 3.
Now it is a matter of constructing an algorithm which transposes this
(well, the correct ...) file structure appropriately to dispense with
useless data and collect single variables of interest in single columns,
not multiple rows across sections. <br><br>
It is perhaps possible that you could accomplish this within SPSS using
(as a starting point) String Function syntax embedded in Python script
looping structures. The raw .txt file will import into SPSS as a single
string variable if you define no delimiter, and the text qualifier as
'Nothing'. So in fact it is easy to circumvent edataaid in terms of
getting the edat .txt format data file into SPSS, it is as you say the
parsing which presents the exercise. Maybe you would be looking for
SubTrial elements logged after a Level 3 Section was identified, and
prior to a *** LogFrame End*** statement. I think though that it might be
equally possible to parse the file using Python libraries alone (as has
obviously been done by mysterious python forum person(s) with their
tab-del output) ... I suppose you would look for string functions to
parse the file, array commands to format the data, and write(?) commands
to set the file to disk. (?) Of course, there are many ways to skin a
cat. But in any way it is correctly capturing the data elements
sequentially from each Level 3 (in my example) child that will perhaps
win the beginning of the day at least.<br><br>
Best<br>
Peter<br><br>
<br><br>
At 01:27 PM 19/08/2012, you wrote:<br>
<blockquote type=cite class=cite cite="">Thank you for your reply Peter
but that is not exactly what I was looking for and I probably did not
clarify enough. I know how to use EdataAid, I just want a way to
circumvent it. If you look in the folder where your edat files are
stored there is also a .txt file with the data information. I was
wondering if I could somehow translate this file into something useable
and skip edataid all together. I am trying to automate the process
so I can do it with a large amount of data all at once and ensure that it
is all done the same way without having to worry about human error (like
when someone accidentally forgets to uncheck the unicode box or clicks on
the wrong thing). It looks like the txt file contains the data from
the experiment but it looks all jumbled up and in one column.
Someone on the python forums said that they had created script that would
parse out the data from that text file and make it usable.
Unfortunately they did not really elaborate how to do that. Thank
you again for your reply Peter and I hope I helped clear things up a
bit.<br>
-Kyle<br><br>
On Saturday, August 18, 2012 7:33:05 PM UTC-4, Kyle wrote:
<dl>
<dd>Hello,
<dd>I am currently struggling with trying to automate my data translation
process from eprime to SPSS. I am not using emerge because I need
to create individual spss data files for each of my subjects. I
have written sytax that automates the translation from the edat output
(tab-separated) to an SPSS data file but I need to figure out a way to
circumvent e-dataAid so I can automate the whole process and reduce the
chance of any errors during the process. I was planning on using
python so that I could have the user select the files that they want to
convert to SPSS and then it does it automatically. From what I
gathered from python help forums is that I need to parse the raw data txt
document into a tab-separated file. Is there a way to do this or
documentation how to do this somewhere? The workflow would be
something like: raw data txt file --> tab separated --> spss syntax
(it reads from a list file I created in spss) --> spss data
file. I think the main spot I am stuck at is parsing the data from
the raw file so I can circumvent edataAid. From there it seems like
it might be somewhat straightforward. Thank you in advance for any
help you can provide. If you have any tips for the python part of
this process that would be appreciated as well, but I know the group is
for e-prime and do not expect help with that.
<dd>Thank you,
<dd>-Kyle
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