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Re-organized the Combining jamovi and R-section of the user manual, e…
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…xtended the sub-secion on jmvReadWrite
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sjentsch committed Jun 27, 2023
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A typical use case would be if you wanted to process a large number
of result files (e.g., CSV-files from several participants in an experiment
or with responses from different questionnaires). Wrangling data is often
easier achieved in R. Once you have assembled your dataseet from these
easiest achieved in R. Once you have assembled your dataset from these
files, you can write it using the ``write_omv()``-function.

.. code-block:: R
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be reading a data file, doing manipulations that currently are not possible
in jamovi, and then writing back the resulting modified file (in the jamovi
file format). There is a couple of helper functions implemented in
|jmvReadWrite| that enable operations such as mass-converting a data files
into the jamovi file format (``convert_to_omv``; e.g., from a software
package for statistical analyses that you used before switching to jamovi),
converting data files from long to wide format (``long2wide_omv``) and from
wide to long format (``wide2long_omv``), adding variables from several data
sets (``merge_cols_omv``), adding cases from several data sets
|jmvReadWrite|. They enable operations such as re-arranging the columns /
variables of a data set (``arrange_cols_omv``), mass-converting a data files
into the jamovi file format (``convert_to_omv``), converting data files from
long to wide format (``long2wide_omv``) and from wide to long format
(``wide2long_omv``), adding variables from several data sets
(``merge_cols_omv``), adding cases from several data sets
(``merge_rows_omv``), or sort a data set after one or more variables
(``sort_omv``).

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