gofigR

gofigR is the R client for https://gofigr.io, a zero-effort reproducibility engine. It works with any R library which outputs to R graphics devices, with automatic publishing for ggplot.

Compatibility

gofigR integrates with R markdown, both in knitr and in interactive sessions in RStudio. GoFigr also works in scripts. We tested with R 4.3.2 but any reasonably recent version should work.

GoFigr will automatically publish all ggplot output assuming you call gofigR::enable(auto_publish=TRUE). GoFigr will not publish old-style R plots unless you tell it to. See the “Usage” section below.

Installation

library(devtools)
devtools::install_github("gofigr/gofigR")

Configuration

On the R prompt, simply load the gofigR package and call gfconfig(). You only need to do this once.

If you don’t have an account, you can register at https://app.gofigr.io/register.

> library(gofigR)
Attaching package: ‘gofigR’

> gfconfig()
-------------------------------------------------------------------

Welcome to GoFigr! This wizard will help you get up and running.

-------------------------------------------------------------------


Username: publicdemo
Testing connection...

  => Success

API key (leave blank to generate a new one): 
Key name (e.g. Alyssa's laptop): my API key
Fetching workspaces...

1. Scratchpad - e5249bed-40f0-4336-9bd3-fef30d3ed10d

Please select a default workspace (1-1): 1

Configuration saved to /Users/maciej/.gofigr. Happy analysis!

Usage

To enable GoFigr, simply call enable in your setup chunk. You can also optionally specify an analysis_name (it will be created automatically if it doesn’t exist).

```{r setup, include=FALSE}
library(gofigR)
gofigR::enable(auto_publish=TRUE)
```

auto_publish is FALSE by default. Set it to TRUE to override plot and print and publish figures automatically.

Automatic output capture

If auto_publish is on, GoFigr will intercept all calls to plot and print and publish the results if they are from a compatible library. At the moment, we support any graphics format also supported by ggplotify:

• ggplot2

• ComplexHeatmap

• cowplot

• patchwork

• lattice

Manual capture

To capture output manually, simply call publish:

hm1 <- Heatmap(matrix(rnorm(100), nrow=10, ncol=10))

publish(hm1, "Heatmaps are cool!")  # second argument is the figure name

Capturing base graphics

To capture output from base R plotting, call publish_base:

gofigR::publish_base({
  base::plot(pressure, main="Pressure vs temperature")
  text(200, 50, "Note the non-linear relationship")
}, data=pressure, figure_name="Pressure vs temperature")

gofigR::publish_base({
  # The mtcars dataset:
  data <- as.matrix(mtcars)

  coul <- colorRampPalette(brewer.pal(8, "PiYG"))(25)
  heatmap(data, scale="column", col = coul, main="Visualizing mtcars")
}, data=mtcars, figure_name="Cars")

Note the optional data argument following the expression. It specifies the data which you want to associate with the figure – it will show up under “files” (as .RDS) once published.

Interactive use

We support knitr as well as interactive sessions in RStudio.