The rtables R package is a prototype to create and display complex tables with R. The cells in an rtable may contain any high-dimensional data structure which can then be displayed with cell-specific formatting instructions. Currently, rtables can be outputted in ascii and html.

Some of our requirements and reasons to create this new table package are:

• multiple values displayed within a cell
• values need to be programmatically accessible for cross-checking
• flexible formatting (cell spans, rounding, alignment, etc.)
• composition of an rtable object from other rtable objects
• multiple output formats (html, ascii, latex, pdf)
• flexible pagination

Note that the current state of rtables does not fulfill all of those requirements. We are looking for collaborators, see the next section.

The current state of the rtables functionality is a first rough prototype. We will be changing the API significantly in the coming months without maintaining backward compatibility. We will release the rtable package on CRAN once we have a stable version.

We are looking for collaborators to help define and shape the rtables package. Please contact me if you would like to align your contributions to the current development plans or feel free to fork the repository and to send us pull requests with the suggested improvements.

To install the stable release of rtables package run the following command in R:

devtools::install_github("roche/rtables", ref="v0.1.0")

To install the test version of rtables run

devtools::install_github("roche/rtables")

library(rtables)
tbl <- rtable(
  header = c("Treatement\nN=100", "Comparison\nN=300"),
  format = "xx (xx.xx%)",
  rrow("A", c(104, .2), c(100, .4)),
  rrow("B", c(23, .4), c(43, .5)),
  rrow(),
  rrow("this is a very long section header"),
  rrow("estimate", rcell(55.23, "xx.xx", colspan = 2)),
  rrow("95% CI", indent = 1, rcell(c(44.8, 67.4), format = "(xx.x, xx.x)", colspan = 2))
)
tbl
#>                                           Treatement        Comparison
#>                                             N=100             N=300   
#> ----------------------------------------------------------------------
#> A                                         104 (20%)         100 (40%) 
#> B                                          23 (40%)          43 (50%) 
#> 
#> this is a very long section header
#> estimate                                             55.23            
#>   95% CI                                          (44.8, 67.4)

• Presentation on v0.1.0 April 2018

• baselR November 2017, this presentation was written for version v0.0.1