- #Command for copying stata results into word for mac manual
- #Command for copying stata results into word for mac code
What will happen to the table if I alter models, parameters, or other core components? What will be the required workflow when I re-produce this table? Will I need to adjust table layout and formatting later? Is this output ready for publication, or just for discovery and exploration? - Do I need to be able to adjust number formatting and rounding later?
Do I need this output to be immediately shareable without post-processing? (Really.) Depending on what you are doing now and what you might need to do in the future, there are some questions that should help you triage before implementing code: Your journal might require tables inline in Word.
You might be preparing a report or paper for submission or publication. You might be exploring regression results with various specifications, and not want to read them one-by-one. There are lots of reasons to export tables somewhere other than the Stata results window, but they don't all justify the same approach. Additionally, heavily formatting tables after they are exported often makes it harder to confirm that the results exported are the same as the ones shown in the paper.
#Command for copying stata results into word for mac manual
Some setups are more manual than others, but the road to sharing results that do not reproduce is short: all you need to do is to not copy one table, or one line of one table, after updating your data or specification. When incorporating tables into papers, it is a common practice to copy-and-paste results from csv and Excel files, or the Stata window, and then format then in Word.
#Command for copying stata results into word for mac code
We share the framework DIME Analytics has developed to help research teams with the task of coding tables, discuss two distinct stages to the problem, and link to Stata code for getting the job done. In this blog, we propose workflows to minimize the pain and increase the gains. Yet, out of 22 recently reviewed papers, most failures to replicate had to do with the workflow used to export tables. This is a bit of a fancy group: all codes are typically hosted on GitHub, all data registered in the microdata Library, RAs get a lot of training on reproducible coding practices. Take the example of the pre-working paper publication reproducibility checks DIME has recently implemented. Reproducibility in economics also crucially depends on streamlining this process. For most researchers, it is also one on which much time is wasted: questions about better ways of automating the formatting of nice tables from Stata often crop up on social media. Making tables from Stata is one of the most common coding tasks in applied economics.
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