Make a tibble where one column is the data to plot, one is the gglist, and one is the caption
Source:R/ggtibble.R
ggtibble.Rd
Make a tibble where one column is the data to plot, one is the gglist, and one is the caption
Usage
ggtibble(data, ...)
# S3 method for class 'data.frame'
ggtibble(
data,
mapping = ggplot2::aes(),
...,
outercols = group_vars(data),
labs = list(),
caption = ""
)
Arguments
- data
The data.frame to plot
- ...
Passed to subsequent methods (usually passed to
gglist()
)- mapping
Default list of aesthetic mappings to use for plot. If not specified, must be supplied in each layer added to the plot.
- outercols
The columns to have outside the nesting
- labs
Labels to add via
labs_glue()
The glue specification for creating the caption
Value
A data.frame with a column named "data_plot" with the data to plot, "figure" with the gglist, and "caption" with the captions
A ggtibble
object which is a tibble with columns named "figure"
which is a gglist
object (a list of ggplots), "data_plot" which is the a
list of data.frames making up the source data used for each individual
plot, "caption" which is the text to use for the plot caption, and all of
the outercols
used for nesting.
Examples
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)
#>
#>
#>
#>
#>
#>
#>
#>
#>
#>
#>
#>