A quick exploration of the ReporteRs package

October 28, 2016
By

(This article was first published on R – Stat Bandit, and kindly contributed to R-bloggers)

The package ReporteRs has been getting some play on the interwebs this week, though it’s actually been around for a while. The nice thing about this package is that it allows writing Word and PowerPoint documents in an OS-independent fashion unlike some earlier packages. It also allows the editing of documents by using bookmarks within the documents.

This quick note is just to remind me that the structure of ReporteRs works beautifully with the piping conventions of magrittr. For example, a report I wrote today maintained my flow while writing R code to create the report.

library(ReporteRs)
library(magrittr)

mydoc <- docx() %>%
  addParagraph(value = 'Correlation matrix', style='Titre2') %>%
  addParagraph(value='Estimates') %>%
  addFlexTable(FlexTable(cormat)) %>%
  addParagraph(value = 'P-values') %>%
  addFlexTable(FlexTable(corpval)) %>%
  addParagraph(value = "Boxplots", style='Titre2') %>%
  addPlot(fun=print, x = plt, height=3, width=5) %>%
  writeDoc(file = 'Report.docx)

Note that plt is a ggplot object and so we actually have to print it rather than just put the object in the addPlot command.

This was my first experience in a while using ReporteRs, and it seemed pretty good to me.

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