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Typos for repro-science module, plus update rrtools.
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materials/sections/provenance-reproducibility-datapaper.qmd

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@@ -173,8 +173,8 @@ rrtools::use_compendium("mypaper")
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- Create an `analysis` folder to hold our reproducible paper
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```{r add-structure, eval=FALSE, echo=TRUE}
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rrtools::use_readme_rmd()
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usethis::use_apl2_license()
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rrtools::use_readme_qmd()
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rrtools::use_analysis()
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```
@@ -243,7 +243,7 @@ tinytex::install_tinytex() ## this may take several minutes
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## Set up
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0. If you do not have `rticle` installed, go ahead and install calling the following function in the console: `install.packages('rticles')` Restart your RStudio session.
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0. If you do not have `rticles` installed, go ahead and install calling the following function in the console: `install.packages('rticles')` Restart your RStudio session.
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1. To create a new file from `rticles`custom templates, got to `File | New File | R Markdown...` menu, which shows the following dialog:
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Things we can do with our research compendium:
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- Edit `./analysis/paper/paper.Rmd` to begin writing your paper and your analysis in the same document
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- Edit `./analysis/paper/paper.qmd` to begin writing your paper and your analysis in the same document
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- Add any citations to `./analysis/paper/pnas-sample.bib`
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- Add any longer R scripts that don't fit in your paper in an `R` folder at the top level
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- Add raw data to `./data/raw_data`
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- Write out any derived data (generated in `paper.Rmd`) to `./data/derived_data`
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- Write out any derived data (generated in `paper.qmd`) to `./data/derived_data`
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- Write out any figures in `./analysis/figures`
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**In practice**
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- Once you have your research compendium, you can called `rrtools::use_dockerfile()`. If needed, re-install `rrtools` directly from GitHub `remotes::install_github("benmarwick/rrtools")`
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- Once you have your research compendium, you can call `rrtools::use_dockerfile()`. If needed, re-install `rrtools` directly from GitHub `remotes::install_github("benmarwick/rrtools")`
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- This first creates a Dockerfile that loads a standard image for using R with the tidyverse.
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