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In the current version the export format does not contain an XML replacement of wiki markup (see Wikipedia DTD for an older proposal, or Wiki Markup Language). You only get the wikitext as you get when editing the article. (After export you can use alternative parsers to convert wikitext to other format)
Data filtering: Use either R code or a drag-and-drop GUI to select cases of interest. Create columns: Use either R code or a drag-and-drop GUI to create new variables or compute them from existing ones. Copy tables in LaTeX format. Formula editing, Plot editing, Raincloud plots. PDF, HTML etc. export of results.
To add an extra row into a table, you'll need to insert an extra row break and the same number of new cells as are in the other rows. The easiest way to do this in practice, is to duplicate an existing row by copying and pasting the markup. It's then just a matter of editing the cell contents.
The following assumes the syntax is a whole table row in one source line starting with a pipe and with double pipe between cells. It does not work with partially compressed table wikitext either (such as for tables with row headers). A table with any non-compressed wikitext can be completely compressed by pasting the table into Excel2Wiki. Do ...
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{| |+ caption table code goes here |} To start a new table row, type a vertical bar and a hyphen on its own line: "|-". The codes for the cells in that row start on the next line. {| |+ The table's caption |-row code goes here |-next row code goes here |} Type the codes for each table cell in the next row, starting with a bar:
R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics and data analysis. [9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.
RStudio IDE (or RStudio) is an integrated development environment for R, a programming language for statistical computing and graphics. It is available in two formats: RStudio Desktop is a regular desktop application while RStudio Server runs on a remote server and allows accessing RStudio using a web browser.