Create tibbles and lists of 'ggplot' figures that can be modified as easily as regular 'ggplot' figures. Typical use cases are for creating reports or web pages where many figures are needed with different data and similar formatting.
The goal of ggtibble is to allow creation of similarly-formatted figures as
lists of ggplots (gglist) and tibbles of those lists with captions. These are
augmented with knit_print() methods enabling simple inclusion in reports.
You can install the development version of ggtibble from
GitHub with:
# install.packages("devtools")
devtools::install_github("humanpred/ggtibble")
This is a basic example which shows you how to solve a common problem:
library(ggtibble)
d_plot <-
data.frame(
A = rep(c("foo", "bar"), each = 4),
B = 1:8,
C = 11:18,
Bunit = "mg",
Cunit = "km"
)
all_plots <-
ggtibble(
d_plot,
ggplot2::aes(x = B, y = C),
outercols = c("A", "Bunit", "Cunit"),
caption = "All the {A}",
labs = list(x = "B ({Bunit})", y = "C ({Cunit})")
) +
ggplot2::geom_point() +
ggplot2::geom_line()
knit_print(all_plots)
In an R Markdown or Quarto report, the ggtibble chunk option is a one-line
shorthand for the above: it auto-derives the chunk label, sets fig.cap from
the object's caption, and runs knit_print() automatically.
```{r ggtibble="all_plots"}
```